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Mercor

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  • Posted 24 days ago
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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: Korean Audio Generalist Evaluator Expert

Type:Short-term, structured engagement

Compensation:$50/hour

Commitment:1020 hours/week

Role Responsibilities

  • Transcribe Korean audio and video content, ensuring clarity and accuracy.
  • Produce high-quality written outputs in English when required.
  • Develop and document evaluation rubrics and grading guidelines in Korean and English.
  • Conduct model testing, assessing outputs for accuracy and clarity.
  • Participate in QA cycles to ensure outputs meet Mercor's quality bar.
  • Collaborate with project leads to improve task design and resolve ambiguities.

Qualifications

Must-Have

  • Strong writing, editing, and critical thinking skills.
  • Ability to work independently and manage time effectively.
  • Fluency in Korean and English (spoken and written).
  • Available to commit 1020 hours per week.

Preferred

  • College students or recent graduates.
  • Background in linguistics, humanities, social sciences, or technical fields.
  • Prior experience with transcription, annotation, evaluation, or research workflows.
  • 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

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

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

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About Company

Job ID: 142103087

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