Verified Mercor opportunity
About the Role — \- Mercor is partnering with a leading AI research lab to support a Frontier Code Agents project. — \- Contributors help evaluate and improve frontier AI coding models through structured technical assessments. — \- The work focuses on realistic machine learning engineering workflows and model evaluation. — \- Spots are limited and filling quickly on a first come, first serve basis. — What You'll Do — \- Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. — \- Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications. — \- Identify bugs, edge cases, performance issues, and failure modes. — \- Compare outputs from multiple frontier models and assess their strengths and weaknesses. — \- Apply professional engineering judgment to realistic ML engineering scenarios. — Time Commitment — \- Sprint based project that runs in 12-24 hour stretches based on client requirement. — Compensation — \- $400 per accepted task. — \- Typical tasks take approximately 2–3 hours after ramp-up. — \- Compensation is tied to accepted work. — Who Should Apply — \- 2+ years of professional machine learning engineering experience. — \- Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products. — \- Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. — \- Ability to evaluate model-generated machine learning implementations and technical tradeoffs. — \- Experience deploying ML systems to production is preferred.