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Russian Audio Evaluator Expert

Mercor


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 11 August 2026 (28 days ago)
Application Deadline: 8 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: Russian Audio Generalist Evaluator Expert (San Francisco Bay Area)
Type: Contract
Compensation: $50/hour
Location: Remote
Commitment: 1020 hours/week

Role Responsibilities

  • Transcribe and optimize audio and video content in Russian ensuring clarity and adherence to guidelines.
  • Produce high-quality written outputs in Russian and English capturing nuances and dialectal variations.
  • Establish evaluation standards and develop rubrics for Russian and English audio contexts.
  • Conduct model testing evaluate outputs and provide feedback to improve performance in Russian tasks.
  • Support QA cycles to ensure consistency and reliability in datasets and benchmarks.
  • Collaborate with project leads to resolve ambiguities and enhance 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 Russian and professional fluency in English.
  • Familiarity with spoken Russian regional vocabulary and dialects.
  • Ability to transcribe and analyze Russian audio content.
  • 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 translation/localization or technical disciplines.
  • Experience with transcription annotation localization evaluation or research workflows in Russian.
  • Familiarity with regional variations of Russian and digital language usage.
  • 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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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.