
51 - 200 employees
Founded 2023
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Mercor is a San Francisco-based online platform that connects companies with remote, paid AI and human-data workers for tasks like annotation, captioning, evaluation, and specialized consulting. The service operates as a marketplace offering role listings, daily payouts, and tools for managing data pipelines, incentives, and hiring workflows focused on AI productivity and research. Mercor targets businesses needing scalable human-in-the-loop data and AI-related talent, while providing candidates with gig-style opportunities and resources.
🔥 14 minutes ago
🏄 California – Remote
💵 $40k - $80k / year
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
🧬 Research Scientist
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51 - 200 employees
Founded 2023
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Mercor is a San Francisco-based online platform that connects companies with remote, paid AI and human-data workers for tasks like annotation, captioning, evaluation, and specialized consulting. The service operates as a marketplace offering role listings, daily payouts, and tools for managing data pipelines, incentives, and hiring workflows focused on AI productivity and research. Mercor targets businesses needing scalable human-in-the-loop data and AI-related talent, while providing candidates with gig-style opportunities and resources.
• Propose and scope a new benchmark or evaluation technique in an under-covered APEX domain or a meaningfully harder version of an existing one • Design task specifications and grading rubrics with Mercor’s vetted domain experts • Build and validate benchmarks through task pilots, scoring calibration, and stress-testing for contamination and gameable shortcuts • Run frontier models against benchmarks and analyze failure modes • Publish results as a paper, open dataset, APEX leaderboard, or methodology adopted internally • Partner with Mercor’s research and engineering teams to incorporate findings into APEX’s public benchmark family • Work directly with the APEX research team and access enterprise evaluation problems from Fortune 500 and frontier-lab partners
• Genuine interest in evaluation as a research discipline • Background in CS, ML, statistics, or an adjacent field such as measurement, psychometrics, HCI, or social science • Specific, well-scoped idea for a benchmark or evaluation technique to build • Comfortable working in a startup environment with fast iteration and less hand-holding than an academic lab • Able to commit at least 20 hours/week for the duration of the fellowship • Minimum commitment of 30 hours/week; full-time preferred • Bonus: experience with agentic evaluation, RL environments, or domain expertise in law, finance, medicine, or a scientific field • Must submit a specific benchmark or evaluation-methodology proposal
• Unlimited API credits • Dedicated budget for GPU compute • Paid expert/human-data time • Weekly 1:1 mentorship with a member of the APEX research team • Regular access to the broader research organization • Access to frontier model APIs • Access to Mercor’s internal evaluation infrastructure • Access to real enterprise evaluation problems from Mercor’s customers, where appropriate • Optional desk in Mercor’s San Francisco office • Introductions to Mercor’s network of researchers across frontier labs and academia • Standout fellows considered for a full-time offer on the APEX research team at the end of the fellowship
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