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Mercor

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🔥 Funding within the last year

💰 $350M Series C - Mercor on 2025-10

Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.

📋 Description

• Create challenging computational scientific and engineering problems for AI benchmark evaluation • Design original, graduate-level problems based on real scientific workflows • Develop problems involving simulations, result interpretation, experiment design, and information discovery from data • Create tasks requiring specialized scientific software and complex multi-step workflows • Design strategic query or experiment sequences to uncover hidden information from partial results • Test each problem against state-of-the-art AI models • Refine problems until they reach the target difficulty • Write problem setups, oracle functions, and solution validators • Work independently and incorporate feedback into problem designs • Collaborate with leading researchers on projects training and enhancing AI systems

🎯 Requirements

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience) • Proven proficiency with at least one listed scientific software library, demonstrated through research publications, open-source contributions, or professional work • Strong Python skills for writing problem setups, oracle functions, and solution validators • Ability to work independently and refine problem designs based on feedback • Comfortable working in a Linux/terminal environment with remote compute sandboxes • Available for at least 15–20 hours per week • Real hands-on experience using domain-specific computational tools, not just theoretical knowledge • Experience writing code with scientific libraries to solve actual research problems • Understanding of tool limitations, edge cases, and sources of genuine problem difficulty • Nice to have: experience across multiple listed domains or tools • Nice to have: familiarity with benchmark or evaluation design • Nice to have: background in scientific teaching or exam/problem-set design • Nice to have: experience with computational reproducibility and containerized environments • Must be unable to require H1-B or STEM OPT sponsorship; Mercor cannot support H1-B or STEM OPT candidates

🏖️ Benefits

• Fully remote role • Flexible own schedule • Weekly payments via Stripe or Wise based on services rendered • Projects may be extended, shortened, or concluded early depending on needs and performance • Competitive pay • Collaboration with leading researchers • Opportunity to help shape the next generation of AI systems • Reasonable accommodations upon request • Up to $400 for each successful referral • No limit on referrals