Software Engineer, Applied AI- Evals

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’s evals platform helps frontier labs and enterprises understand how their models perform on real work. Labs use it to decide what to train next, and enterprises use it to decide which models and agents to trust. It runs evals at scale, grades every result and explains why a model fails. The team also runs APEX, Mercor's family of benchmarks built with domain experts to measure how well frontier models do professional work in fields like law, finance and consulting. Its public leaderboard ranks the latest models, and its results appear in model cards across the industry.

As a Software Engineer on the Evals product team, you will build the scorecards, failure reports and dataset views that help customers turn eval runs into decisions. You will solve hard problems in scale, grading accuracy and reproducibility, while keeping the product simple to use.

This role grows with the platform, from evals into post-training and new product areas. You will help turn the failures we find into data that improves models.

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• Bachelor's Degree in Computer Science or a related field

• Strong full-stack skills in a modern backend language (Python, Go or TypeScript) and a frontend framework such as React

• A track record of owning product features end to end, from idea to production

• Strong product sense that starts from what the user needs

• Experience building data-heavy products: data models, APIs and views over large volumes of results

• Excellent written and verbal communication with engineers, researchers and customers

• Comfort with ambiguity and a habit of shipping iteratively

• Experience with LLM evals, benchmarks or AI developer tools is a plus

• Startup experience or experience building B2B developer products is a plus