Mercor Research Fellowship – APEX
Mercor
Quick Facts
A word from Eli, founder of Rise Africa Scholars
MSc Information Security — Unicaf Scholar
While you wait for a fully funded opportunity, don’t put your education on hold. I completed my MSc through Unicaf — studying online from Nairobi while working full-time. The tuition discount made it genuinely affordable, and the degree is from an accredited UK university.
If you’re serious about advancing your career now, I’d encourage you to explore it. I only recommend what I’ve used myself.
About This Scholarship
The Mercor Research Fellowship is a competitive opportunity for researchers, economists, data scientists, and AI practitioners to design innovative benchmarks, evaluation methodologies, or economic studies that advance AI evaluation and understanding of AI’s impact on the global economy. Fellows receive up to $80,000 in funding, access to frontier AI models, dedicated compute resources, expert mentorship, and the opportunity to contribute to industry-leading AI benchmarking initiatives.
What This Scholarship Covers
- Stipend of $40,000 for 3-month fellowship or $80,000 for 6-month fellowship
- Unlimited API credits
- Dedicated GPU compute resources
- Budget for expert reviewers and human-data collection
- Weekly one-on-one mentorship with APEX research team members
- Access to Mercor's evaluation infrastructure
- Access to frontier AI model APIs
- Opportunities to work on real enterprise evaluation challenges
- Connections with researchers across academia and leading AI laboratories
- Potential consideration for full-time position with Mercor APEX research team
Who Can Apply
- 1 Strong interest in AI evaluation and measurement research
- 2 Background in economics, computer science, machine learning, statistics, social sciences, human-computer interaction, psychometrics, or related disciplines
- 3 Clearly defined benchmark, evaluation method, or economic research proposal
- 4 Ability to work independently in a fast-paced environment
- 5 Availability to commit at least 30 hours per week
- 6 Capacity to participate for three to six months
- 7 Additional experience in AI evaluation, reinforcement learning environments, software engineering, finance, law, medicine, or scientific research is an advantage