Verified Mercor opportunity
Mercor is seeking a Hindi Audio Generalist Evaluator Expert to contribute to a high-impact audio AI research project with a leading research lab. In this role, you will work on transcription, annotation, and evaluation tasks that help train and benchmark advanced language models. This is a short-term, structured engagement ideal for candidates with strong academic or analytical backgrounds who are fluent in Hindi and English and are based in the San Francisco Bay Area, enabling occasional in-person collaboration if required. — Job Responsibilities — Transcribe and Optimise Audio & Video • Listen to, analyse, and transcribe audio and video content in Hindi, following detailed constraints and instructions. • Produce high-quality written outputs in Hindi, with supporting work in English when required. • Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines. • Capture nuances such as tone, intent, formal vs. informal register, regional expressions, dialectal variations, and contemporary Hindi usage where relevant. — Define and Document Evaluation Standards • Establish clear expectations for correct and high-quality responses in general consumer audio contexts. • Develop detailed evaluation rubrics and grading guidelines in Hindi and English. • Document standards to ensure consistency across reviewers and model evaluations. • Identify linguistic nuances, grammatical complexities, colloquialisms, code-switching patterns, and edge cases specific to Hindi. — Conduct Model Testing and Grading • Run prompts through language models and assess generated outputs. • Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity. • Provide structured feedback to improve model performance in Hindi audio tasks. — Support Benchmarking and Quality Assurance • Participate in QA and review cycles to ensure tasks, rubrics, and outputs meet Mercor’s quality bar. • Maintain consistency and reliability before datasets are integrated into official benchmarks. • Collaborate with project leads to resolve ambiguities and improve task design. — Minimum Qualifications • Strong writing, editing, and critical thinking skills. • Ability to work independently, manage time effectively, and meet deadlines. • Native or near-native fluency in Hindi (spoken and written) and professional fluency in English. • Strong familiarity with spoken Hindi, regional vocabulary, dialects, and contemporary language usage. • Ability to accurately transcribe and analyse Hindi audio content across general consumer contexts. • Must be based in the San Francisco Bay Area. • Available to commit 10–20 hours per week. — Preferred Qualifications • College students or recent graduates. • Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines. • Prior experience with transcription, annotation, localisation, evaluation, or research workflows in Hindi. • Familiarity with Hindi-English code-switching (Hinglish) and regional language variation. • Interest in AI, language models, or applied research environments. — Application & Onboarding Process • Complete a short AI-led interview (approximately 15 minutes). • If selected, you will be onboarded and invited to begin project work.