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Hindi Audio Evaluator Expert

Mercor


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 9 August 2026 (30+ days ago)
Application Deadline: 6 November 2026
Vacancies: 1 Vacancy

Job Summary

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 DAngelo 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: 1020 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 1020 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 2030 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

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  • For any help or support reach out to:

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