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Russian Audio Evaluator - Expert

Job in New York, New York County, New York, 10261, USA
Listing for: Mercor
Part Time position
Listed on 2026-08-11
Job specializations:
  • Language/Bilingual
    AI Evaluation, Data Annotation/ AI Labeling
  • IT/Tech
    AI Evaluation, Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 28000 - 55000 USD Yearly USD 28000.00 55000.00 YEAR
Job Description & How to Apply Below
Location: New York

Mercor is seeking a Russian Audio Generalist Evaluator Expert to contribute to a high-impact audio AI research project with a leading research lab. In this role, you will work on transcription, annotation, and evaluation tasks that help train and benchmark advanced language models. This is a short-term, structured engagement ideal for candidates with strong academic or analytical backgrounds who are fluent in Russian and English and are based in the San Francisco Bay Area
, enabling occasional in-person collaboration if required.

Job Responsibilities Transcribe and Optimise Audio & Video
  • Listen to, analyse, and transcribe audio and video content in Russian, following detailed constraints and instructions.

  • Produce high-quality written outputs in Russian, with supporting work in English when required.

  • Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines.

  • Capture nuances such as tone, intent, formal vs. informal register, regional expressions, dialectal variations, and contemporary Russian usage where relevant.

Define and Document Evaluation Standards
  • Establish clear expectations for correct and high-quality responses in general consumer audio contexts.

  • Develop detailed evaluation rubrics and grading guidelines in Russian and English.

  • Document standards to ensure consistency across reviewers and model evaluations.

  • Identify linguistic nuances, grammatical complexities, colloquialisms, and edge cases specific to Russian.

Conduct Model Testing and Grading
  • Run prompts through language models and assess generated outputs.

  • Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity.

  • Provide structured feedback to improve model performance in Russian audio tasks.

Support Benchmarking and Quality Assurance
  • Participate in QA and review cycles to ensure tasks, rubrics, and outputs meet Mercor’s quality bar.

  • Maintain consistency and reliability before datasets are integrated into official benchmarks.

  • Collaborate with project leads to resolve ambiguities and improve task design.

Minimum Qualifications
  • Strong writing, editing, and critical thinking skills.

  • Ability to work independently, manage time effectively, and meet deadlines.

  • Native or near-native fluency in Russian (spoken and written) and professional fluency in English.

  • Strong familiarity with spoken Russian, regional vocabulary, dialects, and contemporary language usage.

  • Ability to accurately transcribe and analyse Russian audio content across general consumer contexts.

  • Must be based in the San Francisco Bay Area.

  • Available to commit 10-20 hours per week.

Preferred Qualifications
  • College students or recent graduates.

  • Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines.

  • Prior experience with transcription, annotation, localisation, evaluation, or research workflows in Russian.

  • Familiarity with regional variations of Russian and contemporary digital language usage.

  • Interest in AI, language models, or applied research environments.

Application & Onboarding Process
  • Complete a short AI-led interview (approximately 15 minutes).

  • If selected, you will be onboarded and invited to begin project work.

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