[Hiring] Hindi Audio Transcription & AI Evaluation Specialist @24-MAG

Role Description

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
• Document linguistic nuances across contemporary Hindi, regional variation, and Hindi-English code-switching

Qualifications

• 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

Requirements

• 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