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Hindi Audio Evaluator - Expert

Role overview

Qualifications

  • Strong writing, editing, and critical thinking skills.
  • Native or near-native fluency in Hindi and professional fluency in English.
  • Ability to transcribe and analyze Hindi audio content accurately.
  • Strong familiarity with spoken Hindi, regional vocabulary, and dialects.

Responsibilities

  • Transcribe and optimize audio and video content in Hindi, ensuring clarity and accuracy.
  • Produce high-quality written outputs in Hindi, with supporting work in English.
  • Establish and document evaluation standards for general consumer audio contexts.
  • Conduct model testing and grading, evaluating responses for accuracy and fluency.

Key facts

Other skills

  • Writing
  • Editing
  • Critical Thinking
  • Time Management
  • Collaboration

About the company

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Mercor

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Company details

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Hindi Audio Generalist Evaluator Expert (San Francisco Bay Area)
Type: Contract
Compensation: $50/hour
Location: San Francisco Bay Area
Commitment: 10–20 hours/week

Role Responsibilities

  • Transcribe and optimize audio and video content in Hindi, ensuring clarity and accuracy.
  • Produce high-quality written outputs in Hindi, with supporting work in English.
  • Establish and document evaluation standards for general consumer audio contexts.
  • Conduct model testing and grading, evaluating responses for accuracy and fluency.
  • Support benchmarking and quality assurance to maintain consistency and reliability.
  • Collaborate with project leads to resolve ambiguities and improve task design.

Qualifications

Must-Have

  • Strong writing, editing, and critical thinking skills.
  • Ability to work independently and manage time effectively.
  • Native or near-native fluency in Hindi and professional fluency in English.
  • Strong familiarity with spoken Hindi, regional vocabulary, and dialects.
  • Ability to transcribe and analyze Hindi audio content accurately.
  • Must be based in the San Francisco Bay Area.
  • Available to commit 10–20 hours per week.

Preferred

  • College students or recent graduates.
  • Background in linguistics, humanities, social sciences, journalism, or technical disciplines.
  • Prior experience with transcription, annotation, or evaluation workflows in Hindi.
  • Familiarity with Hindi-English code-switching and regional language variation.
  • Interest in AI, language models, or applied research environments.

Application Process (Takes 20–30 mins to complete)

  • Complete a short AI-led interview (approximately 15 minutes).
  • If selected, you will be onboarded and invited to begin project work.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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