Engineering Manager, Applied AI
AI summary of the role
Lead a team of 6–10 engineers within Mercor's Applied AI organization, building evaluation infrastructure, annotation products, and multimodal systems that directly improve frontier model quality.
What you’ll do
- Manage and grow a team of 6–10 engineers, coaching and developing high-potential talent
- Drive insights and methodology behind evaluation systems that benchmark and improve model performance
- Lead development of products that generate high-quality training data and improve human-in-the-loop workflows
- Own system design for complex AI systems and translate high-level AI goals into engineering roadmaps
What you’ll bring
- 6–10 years in engineering; 2–3+ years managing teams
- Strong background in building scalable systems
- Ability to lead in ambiguous environments with sound technical judgment
- Proven ability to coach engineers and drive execution
Technologies
evaluation infrastructure · annotation products · multimodal systems · human-in-the-loop · training data · model benchmarking · scalable systems
About Mercor
Marketplace matching domain experts (doctors, lawyers, scientists, engineers) with AI labs to generate post-training data, evaluations, and reinforcement learning signal.
Series C
Source and classification
Internal deployment & tooling · Evidence for this classification:
valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. About the Role We’re hiring Engineering Managers to lead teams within our Applied AI organization. Applied AI builds systems that directly improve model quality, including evaluation infrastructure, annotation products, and emerging multimodal capabilities. You’ll lead a team of engineers, partner with product and research, and help define how Mercor stays at the frontier of AI. You will also build partnerships with leading AI labs and directly contribute to improving the quality of frontier models through data, evaluation, and systems. This role requires high ownership and abstraction: setting direction, driving outcomes, and staying hands-on while leading. What You’ll Work On Build and scale teams Manage and grow a team of 6–10 engineers Coach and develop high-potential
More from the job description
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. About the Role We’re hiring Engineering Managers to lead teams within our Applied AI organization. Applied AI builds systems that directly improve model quality, including evaluation infrastructure, annotation products, and emerging multimodal capabilities. You’ll lead a team of engineers, partner with product and research, and help define how Mercor stays at the frontier of AI. You will a
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