Job descriptionMercor 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.
