Remote | Hindi Audio Transcription & AI Evaluation Specialist — Up to $45/hour

We are sharing a specialised part-time consulting opportunity for Hindi-speaking professionals based in the San Francisco Bay Area with strong transcription, writing, linguistic analysis, annotation, and structured evaluation skills.

This short-term role supports an audio AI research initiative focused on training and benchmarking advanced language models. Selected professionals will transcribe Hindi audio and video content, evaluate model-generated outputs, develop bilingual grading standards, and document linguistic nuances across contemporary Hindi, regional variation, and Hindi-English code-switching.

Key Responsibilities

Hindi Audio & Video Transcription

• Listen to, analyse, and transcribe Hindi-language audio and video content
• Produce accurate written outputs in Hindi, with supporting English content when required
• Follow detailed formatting, stylistic, and task-specific instructions
• Capture tone, intent, register, pronunciation, regional vocabulary, and dialectal variation
• Review completed transcripts for clarity, completeness, and linguistic accuracy

Evaluation Standards & Rubric Development

• Define expectations for correct and high-quality responses in general consumer audio contexts
• Develop detailed evaluation rubrics and grading instructions in Hindi and English
• Document scoring standards that can be applied consistently across reviewers
• Identify grammatical complexities, colloquialisms, code-switching patterns, and language-specific edge cases
• Refine guidelines when ambiguity or inconsistent interpretation arises

Model Testing & Output Evaluation

• Run assigned prompts through language models and review generated responses
• Evaluate outputs for accuracy, completeness, fluency, relevance, and instruction adherence
• Assess whether model responses appropriately reflect spoken Hindi and contemporary usage
• Identify transcription errors, unnatural phrasing, missed context, and linguistic inconsistencies
• Provide structured written feedback supporting model improvement

Benchmarking & Quality Assurance

• Participate in review and quality-assurance cycles across tasks, rubrics, and outputs
• Maintain consistency before materials are incorporated into formal evaluation benchmarks
• Review the work of other contributors when required
• Collaborate with project leads to resolve unclear instructions and improve task design
• Apply feedback and calibration standards consistently across assignments

Ideal Profile

Strong candidates may have:

• Native or near-native spoken and written fluency in Hindi
• Professional fluency in English
• Current residence in the San Francisco Bay Area
• Strong familiarity with contemporary spoken Hindi, regional vocabulary, dialects, and informal usage
• Ability to recognise and evaluate Hindi-English code-switching
• Excellent writing, editing, critical-thinking, and analytical skills
• Experience accurately transcribing and analysing audio content
• Ability to work independently, manage deadlines, and follow detailed instructions
• Availability to contribute approximately 10–20 hours per week

Educational Background

• Current college students and recent graduates may be considered
• A background in linguistics, translation, localisation, humanities, journalism, social sciences, communications, or a technical discipline is helpful
• Academic or practical experience involving language analysis, research, annotation, or audio transcription is highly relevant
• Equivalent professional experience in Hindi-language content or evaluation work may also be considered

Nice to Have

• Previous experience with Hindi transcription, annotation, localisation, or language-quality review
• Familiarity with regional Hindi variation and contemporary colloquial language
• Experience reviewing Hinglish or other Hindi-English code-switching patterns
• Background in research, benchmarking, data annotation, or structured evaluation workflows
• Familiarity with generative AI, language models, speech technology, or applied language research
• Experience developing grading rubrics, reviewer guidelines, or quality standards
• Comfort participating in occasional in-person collaboration within the San Francisco Bay Area when required

Why This Opportunity

• Apply Hindi-language expertise to an advanced audio AI research initiative
• Work across transcription, linguistic analysis, rubric development, and model evaluation
• Help improve how language models understand contemporary and regionally varied Hindi
• Contribute to high-quality benchmarks used in audio and language-model research
• Participate in flexible part-time work with competitive hourly compensation

Contract Details

• Independent contractor role
• Primarily remote with flexible scheduling
• Candidates must be based in the San Francisco Bay Area
• Occasional in-person collaboration may be requested
• Expected commitment of approximately 10–20 hours per week
• Competitive compensation of up to $45 per hour depending on expertise and project scope
• Short-term, structured project engagement
• The selection process may include an AI-led interview lasting approximately 15 minutes
• Weekly payments via Stripe or Wise
• Projects may be extended, shortened, or adjusted depending on scope and performance
• Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

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