United States Remote jobs

19 active, referral-verified opportunities.

Code / United States Remote

Senior Software Engineer, Full Stack (Python, Java, Rust, C#, C++)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Senior Full-Stack Software Engineers with deep, hands-on production expertise across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early. This is a full-time commitment of 40 hours per week. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Build and ship full-stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end. • Integrate pre-release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry. • Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team. • Prototype quickly against shifting requirements, delivering working increments with limited up-front specification. • Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation. — 3. Core Qualifications • 6+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization, including ownership of systems end to end. • Deep production experience in at least one of Python, Java, Rust, C#, or C++, plus demonstrated delivery in a second language across a different ecosystem — this cohort is intentionally staffed across multiple language ecosystems. • Hands-on ownership across the stack: backend service and API design, a modern front-end framework (React or equivalent), data modelling, and cloud deployment and operations. • Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up. • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$90 - $110 / hourOpen / Referral verified

Code / United States Remote

MLOps Engineer (JAX, PyTorch, Pallas/Triton)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — specifically JAX, PyTorch, and kernel-level programming (Pallas/Triton). This role involves AI model training and evaluation work, including writing and assessing MLOps tasks and solutions to generate high-quality training data for frontier AI systems. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. This is a 40-hour full-time engagement, with no conflicts/no other engagements. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics. • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems. • Evaluate MLOps tasks and solutions and provide clear, written technical feedback. • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization. • Hands-on production experience with JAX and/or PyTorch at scale. • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton. • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$70 - $110 / hourOpen / Referral verified

Code / United States Remote

Performance Engineer (C++, Python, Rust)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — We're seeking talented Performance Engineers with deep expertise in low-level systems optimization — specifically C++, Python, and Rust — to bring hands-on technical excellence and elevate the quality of our AI training and inference infrastructure data. This role involves AI model training and evaluation work, including writing and assessing performance-engineering tasks and solutions to generate high-quality training data for frontier AI systems. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. This is a 40-hour full-time engagement, with no conflicts/no other engagements. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in systems-level optimization, compiler engineering, and runtime performance topics. • Design challenging, domain-relevant tasks across multiple specializations, and write accurate and well-structured solutions to performance engineering problems. • Evaluate performance engineering tasks and solutions and provide clear, written technical feedback. • Develop guidelines and detailed rubrics/evaluation frameworks to assess systems design quality across AI workloads. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 2+ years of dedicated professional experience in performance engineering, systems programming, or low-level optimization. • Deep hands-on expertise in at least one of the following: C++, Python, or Rust — with working familiarity across the others being a strong plus. • Demonstrable track record of measurable performance improvements on production systems (e.g., latency reduction, throughput gains, memory footprint optimization). • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$70 - $110 / hourOpen / Referral verified

Code / United States Remote

LLM Red Team Specialist — Failure Modes & Edge Cases

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and needs specialists who can find where those models break. Working in a red-teaming setup, you will design and probe complex, multi-step tasks to expose vulnerabilities, edge cases, and failure modes in frontier AI systems — the places where a model looks competent but is quietly wrong. — Each task represents one to two days of continuous, focused effort and spans multiple technical skills: coding, experimentation, and careful analysis. You will work in a tight feedback loop with the lab's researchers, turning the failure modes you find into stronger benchmark tasks. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Probe models: Explore how frontier AI models behave on coding, ML, and analysis tasks, and find the spots where they quietly get things wrong. • Design challenges: Turn the weaknesses you find into well-crafted tasks that are hard for models but fair to grade. • Document findings: Write up what you discover clearly, with evidence and steps others can reproduce. • Strengthen tasks: Team up with task authors to close loopholes, shortcuts, and grading gaps. • Work as a team: Share insights with researchers and fellow experts so the benchmark keeps getting better. — 3. Core Qualifications • MSc or PhD in a STEM field, or equivalent practical experience in a research-heavy domain requiring data analysis and coding. • 1+ years of experience in a research, research-engineering, security, or AI-evaluation role. • Demonstrated ability to identify vulnerabilities, edge cases, or failure modes in LLMs or ML systems — through red teaming, adversarial testing, security research, or rigorous model evaluation. • Working proficiency in Python and Git, with the ability to script your own probes and analyses. • Strong familiarity with LLM capabilities, limitations, and evaluation techniques. • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in finding what others missed, strong written communication, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified

Code / United States Remote

QA/Test Engineer

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models, and complex multi-step tasks are only useful if they are airtight: unambiguous, correctly graded, and robust to shortcuts. We are seeking experienced QA and test engineers to be the quality backbone of this benchmark — designing the test cases and review processes that guarantee every task measures what it claims to measure. — Each task under review represents one to two days of expert effort and spans multiple technical skills, so quality review here means genuinely understanding the task: running it, probing its edge cases, and debugging its environment. You will work in a tight feedback loop with the lab's researchers and task authors. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design checks: Create test cases that confirm each task works as intended — including the tricky edge cases. • Review tasks: Give tasks and reference solutions a careful read before they're finalized, catching ambiguity and gaps early. • Debug: Roll up your sleeves in Python when a task or its checks don't behave the way they should. • Shape the process: Help build simple, repeatable quality checklists, and share feedback authors can act on right away. • Protect the results: Watch for shortcuts and grading gaps in AI agent runs so benchmark scores stay trustworthy. — 3. Core Qualifications • MSc or PhD in a STEM field, or equivalent practical experience in a research-heavy or engineering-heavy domain. • 1+ years of experience in test engineering, quality assurance, or a research/software engineering role with strong quality ownership. • Demonstrated skill designing test cases and quality-review processes, and debugging complex systems end-to-end. • Working proficiency in Python and Git, and comfort navigating unfamiliar codebases and environments. • Exceptional attention to detail and clear written documentation habits. • Past experience in AI training, model evaluation, or quality review of AI-generated work is preferred. • A perfectionist mindset: creativity in finding what others missed, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified

Medical / United States Remote

STEM Researcher — Computational Fields

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and is recruiting researchers from computational STEM fields — as well as computationally heavy social sciences and humanities — to bring working-researcher rigor to benchmark design. You will translate the scientific method — experimental design, hypothesis testing, and rigorous evaluation — into complex, multi-step tasks that today's best models cannot yet complete reliably. — Each task represents one to two days of continuous, focused effort and spans multiple skills: study design, implementation in code, data analysis, and careful written conclusions. You will work in a tight feedback loop with the lab's researchers, surfacing the kinds of methodological mistakes a working researcher would catch immediately. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design tasks: Turn the research skills you use every day — designing studies, testing hypotheses, evaluating results — into engaging, multi-step tasks. • Author solutions: Work through your own tasks in Python and notebooks, at the level of rigor you'd expect from a careful colleague. • Define what good looks like: Help spell out what separates sound scientific reasoning from reasoning that merely sounds right. • Evaluate models: Review model attempts at your tasks and flag the mistakes a working researcher would spot right away. • Work as a team: Compare notes with researchers and fellow experts to keep evaluations consistent and accurate. — 3. Core Qualifications • MSc or PhD in a STEM field, or in a computational social-science or humanities discipline, or equivalent practical experience in a research-heavy domain requiring data analysis and coding. • 1+ years of experience in an active research role (academia, industry, or national labs). • Your own research involves significant computational work: Python-based analysis, simulation, modeling, or data pipelines. • Strong grounding in experimental design, hypothesis testing, and rigorous evaluation of results. • Working familiarity with Git, IDEs, and notebook environments (Jupyter or Colab). • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified

Math / United States Remote

Data Science & Quantitative Analysis Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and needs experienced data scientists and quantitative analysts to act as ground-truth experts. You will design complex analysis tasks that simulate real research work — for example, comparing two anomaly-detection algorithms on a dataset, calculating correlations, performing manual spot checks, and summarizing the findings in a notebook clear enough to drive a researcher's decision. — Each task represents one to two days of continuous, focused effort and spans multiple skills: data cleaning, statistical analysis, interpretation, and clear reporting. You will work in a tight feedback loop with the lab's researchers, verifying exactly where and why frontier models fall short on rigorous analytical work. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design tasks: Create realistic data-analysis challenges — cleaning messy data, comparing methods, interpreting results — based on the kind of analysis you do every day. • Author notebooks: Work through your own tasks in Jupyter or Colab, producing clear, reproducible reference analyses. • Compare methods: Build tasks that ask for a fair comparison between analytical approaches, backed by spot checks and a clear recommendation. • Evaluate models: Review how models handle your tasks, and check whether their statistics and conclusions actually hold up. • Work as a team: Compare notes with researchers and fellow experts to keep evaluations consistent and accurate. — 3. Core Qualifications • MSc or PhD in statistics, data science, or another quantitative STEM field, or equivalent practical experience in a research-heavy analytical domain. • 1+ years of experience in a research, research-engineering, or heavy data-analysis role. • Deep hands-on data-analysis skills: data cleaning, statistical correlation, hypothesis testing, and careful interpretation of results. • Proficiency with Jupyter Notebooks or Google Colab for analysis and reporting. • Working proficiency in Python (pandas, NumPy, or similar) and Git. • Strong ability to communicate analytical findings in writing for decision-makers. • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in task design, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified

Code / United States Remote

Machine Learning Engineer — Model Evaluation & Experimentation

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and needs experienced machine learning practitioners to act as ground-truth experts for model evaluation and experimentation. You will author complex, multi-step ML tasks — for example, taking a vague research idea like "modify how an RL reward is computed," implementing the change, running the training experiment, and analyzing the results to determine success — and verify exactly where frontier models fall short. — Each task represents one to two days of continuous, focused effort and spans multiple technical skills: implementation, experiment setup and execution, and rigorous analysis. You will work in a tight feedback loop with the lab's researchers. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design tasks: Turn real ML research ideas — like tweaking how an RL reward is computed — into well-defined, multi-step tasks. • Run experiments: Implement changes, run training experiments, and analyze the results to show what a correct solution looks like. • Explore RL ideas: Build some of your tasks around reinforcement-learning basics such as reward functions and training behavior. • Evaluate models: See how frontier models handle your tasks, and note where and why they fall short. • Work as a team: Compare notes with researchers and fellow experts so tasks stay consistent, rigorous, and fair. — 3. Core Qualifications • MSc or PhD in machine learning, computer science, or another STEM field, or equivalent practical experience in a research-heavy domain. • 1+ years of experience in a research or research-engineering role. • Hands-on experience training and evaluating ML models and running experiments end-to-end — experiment setup, execution, and analysis — not just using ML libraries superficially. • Strong familiarity with large language models: their capabilities, limitations, and evaluation techniques. • Working proficiency in Python and Git, with comfort in both scripting and notebook environments. • Basic understanding of reinforcement learning (reward functions, policy training) is preferred. • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified

Code / United States Remote

Software Engineering Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — A leading AI lab is building the next generation of agentic evaluation benchmarks for frontier models and needs experienced software engineers to act as task curators. You will design, implement, and review complex, multi-step engineering tasks that simulate the real-world challenges research engineers face — realistic, genuinely hard problems that today's best AI coding agents cannot yet solve reliably. — Each task represents one to two days of continuous, focused effort and spans multiple technical skills: Python implementation, environment and tooling setup, debugging, and clear documentation. You will work in a tight feedback loop with the lab's researchers, verifying exactly where and why frontier models fail on your tasks. — This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. This role is fully remote within the United States, at approximately 35 hours per week. — 2. Key Responsibilities • Design tasks: Create realistic, multi-step software engineering challenges — the kind of work you'd actually do on the job — that push the limits of today's best AI coding agents. • Build reference solutions: Solve your own tasks in Python, with the setup and checks needed so each task has a clear, verifiable answer. • Work with AI tools: Use AI coding assistants as part of your everyday workflow, and observe where they help and where they fall short. • Review and refine: Look over tasks built by fellow experts and share feedback on clarity, correctness, and difficulty. • Learn from failures: See how AI agents attempted your tasks and help the research team understand what tripped them up. — 3. Core Qualifications • MSc or PhD in computer science or another STEM field, or equivalent practical experience in a research-heavy domain requiring significant coding and data analysis. • 1+ years of experience in a research, research-engineering, or software engineering role. • Strong hands-on Python scripting and debugging skills, with clean-code habits and attention to readability. • Everyday fluency with version control (Git), IDEs, and standard software development workflows. • Experience with AI coding assistants, prompt engineering, or agent workflows is preferred. • Past experience in AI training, model evaluation, or benchmark/task authoring is preferred. • A perfectionist mindset: high attention to detail, creativity in task design, strong written communication, and the ability to work independently through ambiguous, open-ended problems. • Ability to engage reliably for approximately 35 hours per week. — About Cincinnatus LLC — Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. — Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC. — Equal Employment Opportunity — Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. — Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

$60 - $90 / hourOpen / Referral verified

Finance / United States Remote

Finance Specialist

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Finance subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world financial judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in financial reasoning, analysis, and decision-making. • Design challenging, domain-relevant finance tasks and write accurate, well-reasoned solutions grounded in real financial practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to finance tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 8+ years of dedicated professional experience in finance (e.g., investment banking, asset management, corporate finance, financial advisory) at a recognized, top-tier organization (e.g., Goldman Sachs, JPMorgan, Morgan Stanley, BlackRock, Fidelity, Deloitte, PwC, EY, KPMG, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application. • Demonstrable career progression (e.g., Analyst → Associate → VP/Director). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$65 - $90 / hourOpen / Referral verified

Business / United States Remote

Marketing Specialist

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Marketing subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world brand/growth judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in brand strategy, growth marketing, and campaign-reasoning tasks. • Design challenging, domain-relevant marketing tasks and write accurate, well-reasoned solutions grounded in real marketing practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to marketing tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 8+ years of dedicated professional experience in marketing (e.g., brand strategy, growth marketing, performance marketing) at a recognized, top-tier organization (e.g., P&G, Unilever, Nike, Ogilvy, WPP, Omnicom, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application. • Demonstrable career progression (e.g., Marketing Manager → Senior Manager → Director/VP of Marketing). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$60 - $80 / hourOpen / Referral verified

Medical / United States Remote

Insurance Specialist

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Insurance subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world underwriting judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in underwriting, claims, and risk-assessment reasoning. • Design challenging, domain-relevant insurance tasks and write accurate, well-reasoned solutions grounded in real underwriting/claims practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to insurance tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 8+ years of dedicated professional experience in insurance (e.g., underwriting, claims, actuarial, risk management) at a recognized, top-tier organization (e.g., AIG, Chubb, Allstate, Progressive, MetLife, Marsh McLennan, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application. • Demonstrable career progression (e.g., Underwriter → Senior Underwriter → VP of Underwriting). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$60 - $80 / hourOpen / Referral verified

Medical / United States Remote

Retail Specialist

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Retail subject-matter experts (SMEs) with deep domain expertise and hands-on experience evaluating AI model outputs against rubrics to bring rigor and real-world retail judgment to our AI training data. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and engineering teams to close knowledge gaps in retail merchandising, category management, and operations reasoning. • Design challenging, domain-relevant retail tasks and write accurate, well-reasoned solutions grounded in real retail practice. • Evaluate AI model outputs against structured rubrics and provide clear, written feedback on correctness, judgment, and reasoning quality. • Develop and refine evaluation guidelines and scoring rubrics specific to retail tasks. • Collaborate with other subject matter experts to ensure consistency and accuracy in training data. — 3. Core Qualifications • 8+ years of dedicated professional experience in retail (e.g., merchandising, category management, retail operations, buying/planning) at a recognized, top-tier organization (e.g., Amazon, Walmart, Target, Nike, Costco, Home Depot, or equivalent). • Prior hands-on experience evaluating LLM/AI model outputs against rubrics or structured scoring criteria — mandatory; please describe this experience in your application. • Demonstrable career progression (e.g., Category Manager → Senior Manager → Director of Merchandising). • Ability to engage reliably for at least 35 hours/week during weekdays. • Verbal and written communication skills, problem-solving skills, and interpersonal skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$60 - $80 / hourOpen / Referral verified

Business / United States Remote

Project Coordinator - AI & Data Projects

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. — 1. Overview — Are you ready to help shape the future of artificial intelligence? Join a leading AI lab's cutting-edge GenAI team, where you'll be at the forefront of building groundbreaking AI models. We're seeking talented Project Coordinators to support and accelerate world-class AI research and data operations — acting as the operational bridge between program leadership and a growing team of domain experts. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. What You'll Do • Act as a day-to-day point of contact for AI data projects, helping keep workflows and operations running smoothly. • Work closely with program leads and domain experts — take inputs from leadership, turn them into clear guidelines, and share them with expert teams. • Help onboard and support new experts as the program grows. • Join weekly business reviews, keep notes and action items organized, and lead calls when needed. • Help spot quality issues, understand root causes, and share findings across teams. • Contribute to creating and refining project guidelines with research and product partners. • Flag potential roadblocks early and help get them resolved. • Track project deliverables using Google Sheets and Excel. • Stay flexible and adapt as project needs evolve. — 3. Qualifications • Location: Must be based in the USA. • Education: STEM background strongly preferred. • Experience: 3+ years in project coordination or project management, with the ability to coordinate large, cross-functional teams. • AI fluency: hands-on experience on AI training-data or human-data projects — as a project coordinator, team lead, EPM, or expert contributor. • Ideal: prior project coordination on AI/data programs at organizations like Meta, TikTok, or Amazon, or EPM/project-lead experience on Mercor projects or other AI tranining projects. • Skills: strong data management experience (Excel, SQL) and working knowledge of coding. • Leadership: prior people management experience or demonstrated ability to lead large groups effectively. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$45 - $70 / hourOpen / Referral verified

Code / United States Remote

Software Engineer, Full Stack (Python, Java, Rust, C#, C++)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Full-Stack Software Engineers with hands-on production experience across modern application stacks — Python, Java, Rust, C#, C++, and TypeScript — to build, integrate, and stress-test real software on top of frontier models before they ship. Engineers work directly with the AI lab's engineering manager on fast-moving projects and are expected to onboard quickly and contribute working code early. This is a full-time commitment of 40 hours per week. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Build and ship full-stack applications, services, and internal tools — in Python, Java, Rust, C#, C++, or TypeScript — that exercise frontier model capabilities end to end. • Integrate pre-release model APIs into working software, including the surrounding scaffolding: tool interfaces, evaluation harnesses, and telemetry. • Diagnose and document model and integration failure modes surfaced while building, translating engineering observations into clear written feedback for the research team. • Prototype quickly against shifting requirements, delivering working increments with limited up-front specification. • Collaborate with the engineering manager and other engineers to maintain consistency in code quality, architecture, and technical documentation. — 3. Core Qualifications • 3+ years of dedicated professional experience building and shipping production software at a recognized, top-tier organization. • Production experience in at least one of Python, Java, Rust, C#, or C++, plus working proficiency in a second language — this cohort is intentionally staffed across multiple language ecosystems. • Hands-on experience across the stack: backend services and APIs, a modern front-end framework (React or equivalent), relational or document databases, and cloud deployment. • Demonstrated ability to onboard onto an unfamiliar codebase and deliver working code quickly with minimal ramp-up. • Demonstrable career progression. • Ability to engage reliably for at least 40 hours/week during weekdays. • Strong written communication skills and the ability to explain complex technical decisions clearly. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$50 - $65 / hourOpen / Referral verified

Language / United States Remote

AI Rater Guidelines Writer (Linguist / Instructional Designer)

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented Linguists and Instructional Designers with deep experience translating ambiguous program requirements into clear, unambiguous rater guidelines to bring precision and consistency to our AI training data — working across domains from finance and retail to insurance, legal, and sports. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide research and program teams to close the gap between ambiguous program requirements and rater-ready instructions across a range of subject-matter domains. • Design clear, non-contradictory rating guidelines and rubrics that raters can apply consistently, including under edge cases. • Evaluate draft guidelines for ambiguity, internal contradiction, and coverage gaps, and revise until raters can apply them without escalation. • Translate program specifications from domains such as finance, retail, insurance, legal, and sports into precise, discipline-specific rater instructions. • Collaborate with other subject matter experts and program leads to ensure consistency and accuracy across guideline sets. — 3. Core Qualifications • 3+ years of professional experience in linguistics, instructional design, technical writing, or a closely related field, with direct experience writing or refining guidelines/rubrics for human raters in a GenAI/RLHF context. • Demonstrated ability to work across multiple subject-matter domains (e.g., finance, retail, insurance, legal, sports) and translate domain-specific nuance into clear, unambiguous instructions. • Strong track record of resolving ambiguity and contradiction in written specifications — able to point to concrete before/after examples. • Demonstrable career progression. • Ability to engage reliably for at least 35 hours/week during weekdays. • Strong written communication skills and the ability to explain complex or nuanced guidance clearly and precisely. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$45 - $65 / hourOpen / Referral verified

Finance / United States Remote

Finance Program Coordinator — AI Training Data Operations

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. — 1. Overview — Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking a talented Program Coordinator with a finance background to bring hands-on coordination and organizational rigor to our AI training data program, keeping finance-specific tasks and rater teams on track and consistent. — This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. — 2. Key Responsibilities • Guide day-to-day coordination between finance-domain raters and the broader training-data program to close execution gaps and keep work on schedule. • Design and maintain task-tracking, escalation, and quality-check workflows specific to finance evaluation tasks. • Evaluate rater throughput and quality signals on finance tasks and provide clear, written status updates and feedback. • Triage and resolve finance-specific rater questions, escalating ambiguous cases to subject matter experts. • Collaborate with subject matter experts and program leads to ensure consistency and accuracy across finance training data. — 3. Core Qualifications • 5–10 years of professional experience in finance or finance operations, with a track record of coordinating cross-functional teams or projects. • Direct experience managing or coordinating a team of contributors/reviewers (raters, analysts, or similar) against deadlines and quality bars. • Demonstrable career progression (e.g., Analyst → Senior Analyst → Program/Project Coordinator). • Ability to engage reliably for at least 35 hours/week during weekdays. • Strong verbal and written communication skills, organizational skills, and problem-solving skills. — About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. — Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

$40 - $60 / hourOpen / Referral verified

Business / United States Remote

Project Coordinator

$45 - $55 / hourOpen / Referral verified

Business / United States (Remote)

Dishwasher — ONET Occupation Study

About this study — Mercor is building a new, more accurate version of O\*NET — the U.S. government's framework for describing occupations and the tasks they involve. We are gathering input directly from experienced practitioners to improve how the work of dishwashers is described. — About the role (SOC 35-9021.00 — Dishwashers) — Clean dishes, kitchen, food preparation equipment, and utensils. — What you'll do • Complete a one-time online survey/interview about your day-to-day work as a dishwasher. It takes up to 30 minutes. • There may be an optional follow-up survey, task, or short interview afterward, which would be paid separately. — Who we're looking for (eligible applicants have) • 2+ years of experience working specifically as a dishwasher. • Current work, or work within the last 12 months, in the role. • Direct knowledge of daily kitchen tasks, equipment, and workflow. • U.S.-based. — Not eligible (common confounders) • Cooks and food preparation workers whose primary role is preparing food (SOC 35-2014.00, 35-2021.00). • Servers, hosts, or general front-of-house staff. • Kitchen or restaurant managers. — Reference for the occupation: [https://www.onetonline.org/link/summary/35-9021.00](https://www.onetonline.org/link/summary/35-9021.00)

$16 / hourOpen / Referral verified