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Mercor Generalist

Mercor
Contract
Remote
Worldwide
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Mercor Generalist

Mercor is seeking versatile and detail-oriented professionals to collaborate with our team on a range of cutting-edge AI evaluation projects. As a Mercor Generalist, you’ll participate in the development and assessment of AI systems across diverse domains — helping test, refine, and improve how advanced models understand and reason about real-world workflows.

1. Key Responsibilities

Evaluate AI-generated outputs for accuracy, clarity, and alignment with real-world reasoning

Contribute written assessments and structured feedback on model performance

Identify conceptual, logical, and stylistic strengths and weaknesses in AI responses

Collaborate asynchronously with Mercor’s research and operations teams to maintain quality and consistency across evaluations

Ensure strong analytical judgment, precise communication, and consistent application of evaluation criteria

2. Ideal Qualifications

  • Strong English fluency and written communication skills
  • Sharp attention to detail and ability to identify subtle errors or inconsistencies
  • Analytical and critical thinking skills across a wide range of topics
  • No formal educational background or specific degree required — curiosity, clarity, and reasoning skill are key

3. Timeline

  • This listing does not qualify you for any particular project. This is an opportunity to join an important part of our talent pool
  • Start Date: Rolling (immediate opportunities available)
  • Duration: Varies by project (1–3 months typical)
  • Commitment: Flexible and part-time (~10–20 hours/week, with potential to increase)
  • Schedule: Fully remote and asynchronous

4. Compensation & Contract

  • Paid opportunities across multiple projects, typically $30–$100 USD/hour, depending on domain expertise and task complexity
  • Independent contractor arrangement
  • Daily payments via Stripe Connect

5. Application & Qualification Process

  1. Submit Application: Upload your resume or professional summary
  2. Qualifying Assessment: Complete a short, unpaid work trial introducing a core data type and task format used in Mercor projects
  3. Ongoing Opportunities: Candidates who perform well will be considered for future paid work across AI evaluation, training, and research collaborations