Hindi Audio Generalist Evaluator Expert (San Francisco Bay Area) (Train AI Models Part Time!)

Mercor is seeking a Hindi Audio Generalist Evaluator Expert to contribute to a high-impact audio AI research project with a leading research lab. 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.

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.