Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code) for a new benchmark in scientific computing. You will craft original, executable research problems that frontier models currently struggle to solve.
Domains require depth in at least two subfields with a coding focus; Python or R for scientific computing is essential. The role involves sourcing material, writing prompts, and building robust grading criteria for model evaluation.
AI Benchmark Architect for Scientific Computing in Ottawa employer: Mercor
Mercor is an exceptional employer that fosters a dynamic and innovative work culture, connecting top-tier talent with leading AI research labs. With the flexibility of remote work, employees enjoy a supportive environment that encourages professional growth and collaboration across diverse teams. The competitive compensation and the opportunity to engage in high-impact projects make Mercor a rewarding place for legal experts looking to make a meaningful contribution.
