Grants Manager

Job not on LinkedIn

🕒 September 22

🌐 United States, Mexico, +1 more countries – Remote

🇺🇸 United States – Remote 🇲🇽 Mexico – Remote 🇬🇧 United Kingdom – Remote

💵 $5M / year

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👔 Manager

👻 Ghost score 7%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mercor

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Fund AI capabilities research through a $5 million grant program • Support research measuring whether benchmark performance translates to reliable performance on realistic tasks and workflows • Support development of high-fidelity, interactive environments capturing real-world work complexity • Evaluate and improve models’ ability to plan, execute, and adapt across extended workflows • Advance agentic capabilities including tool use, coordination, memory, and autonomous execution • Improve performance on complex, ambiguous, or underspecified tasks • Develop better data, rewards, and training methods for post-training • Create robust measures of capability, reliability, and real-world utility • Enable access to Mercor experts for human grading and annotation • Enable access to internal evaluation infrastructure subject to review • Connect grantees with researchers across frontier labs and academia

🎯 Requirements

• Academic groups, independent researchers, and non-profit organizations may apply • A specific, well-scoped research question • Proposal focused on real-world evaluations, environments, long-horizon tasks, agentic capabilities, reasoning and problem-solving, post-training, or evaluation methodology • One- or two-page Expression of Interest • Expression of Interest must include team, background, and research accomplishments • Expression of Interest must include the proposed research project • Expression of Interest must include project outputs, impact, timelines, and resource requirements • Grantees are expected to publish a paper, open dataset, public methodology, or field-usable tool

🏖️ Benefits

• Funding for autonomous frontier-work • Access to Mercor's expert network for human grading and annotation • Access to Mercor's internal evaluation infrastructure, subject to review • Introductions to Mercor's network of researchers across frontier labs and academia • Support for researcher hours • API credits • Stipends for event and conference attendance

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