Mercor AI能力基金资助
Mercor AI Capabilities Fund Grants
Mercor 的使命是组织人类智能，为人工智能经济提供动力。我们是一家领先的 AI 数据公司，构建了连接人类专业知识和前沿模型的层。平台上有数百万领域专家，每天获得超过 400 万美元的报酬来训练前沿 AI 模型。Mercor 的 APEX 基准系列衡量 AI 在现实世界中对专业工作的实际影响。Mercor Enterprise 将同样的基础设施带给财富 500 强公司：帮助公司捕捉其最佳员工的实际工作方式，并将这种专业知识直接转化为代理。
Mercor 正在创造一种新的工作类别，其中专业知识推动 AI 的进步。实现这一目标需要一个雄心勃勃、快节奏且 deeply committed 的团队。你将与研究人员、运营人员以及处于塑造重新定义社会的系统最前沿的 AI 公司合作。Mercor 是一家盈利的 C 轮融资公司，估值达 100 亿美元。我们在旧金山、纽约或伦敦的办公室每周五天现场办公。
Mercor AI 能力研究资助计划 500 万美元
目前行业面临的最大挑战之一是确定前沿 AI 是否足以在现实场景中提供价值。一个模型可能在基准测试中表现良好，但在生产环境中仍然困难重重。这就是为什么投资能力研究、现实评估和稳健验证至关重要。
Mercor 承诺投入 500 万美元资助 AI 能力研究。该资助支持：
- Mercor 平台专家的时间
- 研究人员的工作时间
- API 积分
- 参加活动和会议的津贴
这与 Mercor 研究奖学金不同，后者资助个人专家（申请 HERE https://www.mercor.com/careers/a0a98be0-d856-4129-b500-c0a3e412ef01/），以及我们的 500 万美元安全资金奖项（申请 HERE https://jobs.ashbyhq.com/mercor/1d59ce50-4207-4d95-b7fd-5a01e90b0897）。
我们正在寻找
- 现实场景评估：衡量基准性能是否能转化为现实任务和流程中的可靠性能
- 环境：构建高保真、交互式环境，以捕捉现实世界工作的复杂性
- 长期任务：评估并改进模型在扩展工作流程中规划、执行和适应的能力
- 代理能力：工具使用、协调、记忆和自主执行
- 推理和问题解决：提高在复杂、模糊或未明确任务中的表现
- 训练后：开发
查看英文原文
ABOUT MERCOR
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.
Mercor AI Capability Research Grants $5M
One of the biggest challenges facing the industry today is determining whether frontier AI is capable enough to deliver value in real-world settings. A model can perform well on benchmarks and still struggle in production. That’s why investing in capabilities research, realistic evaluations, and robust verification is critical.
Mercor is committing $5 million to fund AI capabilities research. The grant supports:
- The time of experts from Mercor's platform
- Researcher hours
- API credits
- Stipends for event and conference attendance
This is separate from the Mercor Research Fellowship, which funds individual experts (apply HERE https://www.mercor.com/careers/a0a98be0-d856-4129-b500-c0a3e412ef01/) and our $5m of safety funding awards (apply HERE https://jobs.ashbyhq.com/mercor/1d59ce50-4207-4d95-b7fd-5a01e90b0897).
What we're looking for
- Real-world evaluations: measuring whether benchmark performance translates into reliable performance on realistic tasks and workflows
- Environments: building high-fidelity, interactive environments that capture the complexity of real-world work
- Long-horizon tasks: evaluating and improving models’ ability to plan, execute, and adapt across extended workflows
- Agentic capabilities: tool use, coordination, memory, and autonomous execution
- Reasoning and problem-solving: improving performance on complex, ambiguous, or underspecified tasks
- Post-training: developing better data, rewards, and training methods to improve model capabilities
- Evaluation methodology: creating more robust measures of capability, reliability, and real-world utility
Why us
- Funding for autonomous frontier-work.
- Access to Mercor's expert network for human grading and annotation: lawyers, accountants, engineers, scientists, clinicians
- Access to Mercor's internal evaluation infrastructure, subject to review
- Introductions to Mercor's network of researchers across frontier labs and academia
WHO SHOULD APPLY
- Academic groups, independent researchers, and non-profit organizations
- People with a specific, well-scoped question: the grant is built around your proposal, not a generic research rotation
- Bonus: researchers with experience with agentic evaluation, RL environments, and post-training.
We expect grantees to publish – such as a paper, an open dataset, a public methodology, or a tool the field can use.
How to apply
Submit an Expression of Interest. We expect to see a one- or two-page document. It should contain at least a section on your team, background, and research accomplishments; a section on your proposed research project; and a section on the outputs and impact of the project, with directionally correct timelines and resource requirements.