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Software Engineer, Applied AI

MercorSan Francisco
Full-timeMid Level
$130k - $500k
per year
👁️ 0 views📝 0 applicationsPosted 4/21/2026Expires 10/6/2026
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Job Description

About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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

As a Software Engineer on Applied AI , you’ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery. This is a high-ownership, deeply technical role.

You’ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production.

You’ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor’s internal teams to ship high-impact applied AI solutions.

What You’ll Do Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs Build and operate scalable data pipelines for post-training workflows and model evaluations Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions Prototype new data types, benchmarks, and evaluation frameworks Lead technical discus

Required Skills

Problem SolvingPrototypingPythonRequirements GatheringRustStatistical AnalysisStatistics

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