Generalist – Project Sprint
$40 / hr
$40

Mercor is seeking detail-oriented generalists to support one of the world’s leading AI labs in advancing frontier research for a weekend-only project sprint, beginning 10/17/25.
This role involves real-world evaluation on a range of written tasks, where freelancers will review and evaluate responses for advanced language models.
This is a weekend-only project sprint, ideal for those who thrive in fast-paced, high-precision environments and want to contribute to frontier AI work on a flexible schedule.
Job Details:
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Conduct Model Testing and Grading: Run prompts through models and assess preliminary outputs.
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Support Benchmarking and Quality Assurance: Collaborate in QA review processes to ensure prompt tasks and rubrics meet rigor, maintaining consistency and reliability before integration into official benchmarks.
Role Highlights
- Flexible workload: 10–20 hours, with potential to increase to 40 hours.
Role Start Date
- This role will begin immediately and will end 10/19/25.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are weekly on Stripe or Wise based on services rendered.
- Please note: We are unable to support H1-B or STEM OPT candidates at this time.
About Mercor
Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.
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Posted 10 months ago
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