Mercor AI 研究基金资助
Mercor AI Research Fund Grants
关于Mercor
Mercor的使命是组织人类智能，为AI经济提供动力。我们是一家领先的AI数据公司，构建了人类专业知识与前沿模型之间的桥梁。平台上数百万个领域的专家每天获得超过400万美元的报酬，用于训练前沿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：帮助公司捕捉其最优秀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、运营人员和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研究基金拨款500万美元
目前行业面临的最大挑战之一是确定前沿AI是否足够强大，能够在现实环境中提供价值。一个模型可能在基准测试中表现良好，但在生产环境中仍会遇到困难。这就是为什么投资研究、现实评估和稳健验证至关重要。
Mercor承诺拨款500万美元用于资助AI研究。该拨款支持：
- Mercor平台专家的时间
- 研究人员的工作时间
- API积分
- 会议和活动的津贴
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
- 现实世界的评估：衡量基准性能是否能转化为在现实任务和工作流程中的可靠性能
- 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：开发更好的数据、奖励和
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 Research Fund 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 research, realistic evaluations, and robust verification is critical.
Mercor is committing $5 million to fund AI research. Award size and mix depend on the project. The grant supports:
- The time of experts from Mercor's platform
- Researcher hours
- API costs
- 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 researcher time, API costs, and event attendance
- Where useful to the 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
- Researchers at universities and non-profit research organizations, as well as public benefit corporations and small startups that do not sell AI training data. Awards are made to the researcher’s institution.
- People with a specific, well-scoped question: the grant is built around your proposal, not a generic research rotation
- Applicants based in the United States or the United Kingdom
- 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, released under an open license that permits commercial use.
Award terms
Selected grantees will sign Mercor’s research award agreement. Key terms include:
- Grantees keep ownership of their work and grant Mercor a non-exclusive license to use it, including commercially.
- Mercor may identify grantees and their institutions as award recipients, including by name and logo. Grantees may use Mercor’s logo with Mercor’s approval.
- For benchmark and evaluation projects, Mercor receives early access to the benchmark before public release and the exclusive right to build and host a private held-out test set, at Mercor’s cost.
- Grantees agree not to work with specified Mercor competitors on substantially similar benchmarks or evaluations during the award and for 12 months afterward.
- Grantees are free to publish their findings. Mercor reviews drafts in advance only to remove its confidential information.
- Awards are subject to tax documentation, sanctions screening, and periodic progress reports.
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. Please do not include confidential or proprietary information in your Expression of Interest. Submitting an Expression of Interest does not obligate Mercor to make an award.