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Software Engineer, Applied AI

MercorNew York City
Full-time3-7
$130k - $500k
per year
👁️ 0 views📝 0 applicationsPosted 9/4/2026Expires 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'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

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

Required Skills

PythonData PipelinesScalable Systems DesignFrontier AI ResearchModel EvaluationSynthetic Data GenerationData Quality AssuranceCloud InfrastructureEnd-to-End System OwnershipPost-Training WorkflowsAPI DevelopmentDistributed SystemsHigh-Performance ComputingMachine Learning Operations (MLOps)SQLData EngineeringAgile DevelopmentSoftware DeploymentProduction SystemsResearch CollaborationFrontend Development (if applicable)Advanced Data StructuresAlgorithms OptimizationAI Model Integration

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