Software Engineer, AI Data & Evaluation

Mercors 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 cant be captured in code alone. Today more than 30000 experts in our network collectively earn over $3 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. Youll 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.

As a Senior Software Engineer (AI Data & Evaluation) at Mercor you will be at the core of building the data infrastructure and evaluation systems that power the next generation of frontier AI models. Our teams mission is to develop high-quality data types that push frontier models forward and drive the AI industry ahead.

Software Engineers on this team are builders and innovators first. You will design and develop the evaluation methods and flywheels that drive continuous model improvement engineer synthetic data pipelines and environments that generate high-signal training data at scale and build the operational automation that keeps it all running with precision and efficiency. This role demands a product- and impact-oriented mindset a bias toward shipping and the ability to thrive at the intersection of data engineering systems design and applied AI research.

• Innovate and develop evaluation methodologies and flywheels that continuously improve data quality and model performance at scale.

• Design and build synthetic data generation systems and simulation environments that produce high-signal high-diversity training data for frontier AI models.

• Architect and ship operational automation systems that maximize throughput efficiency and quality across the end-to-end data pipeline.

• Collaborate cross-functionally with Operations Research and Product to translate evolving model needs into robust scalable engineering solutions.

• Own end-to-end delivery of critical systems from prototyping novel ideas to scaling production infrastructure.

• Strong software engineering skills with a proven track record shipping production systems end-to-end.

• Deep interest in and experience with AI/ML data pipelines evaluation frameworks or training data systems.

• Systems thinking: ability to design for scalability quality and operational reliability simultaneously.

• Comfort operating with ownership and pragmatism in fast-moving ambiguous environments.

• Effective communication and collaboration with engineering research and operations teams.

• Experience with synthetic data generation reinforcement learning environments or large-scale data quality systems is highly valued.

• Impact: Your work directly shapes the quality of data powering the worlds leading AI labs frontier models.

• Learning: Get early first-hand exposure to cutting-edge model capabilities months before they reach the market.

• Growth: Work at the intersection of data engineering and AI research with fast paths to ownership and leadership.

• Bi-annual performance bonus structure

• Generous equity grant vested over 4 years

• Up to $15k Relocation bonus

• $10K proximity bonus (if you live within 0.5 miles of our office)

• $1.5K monthly stipend for meals

• Free Equinox membership

• $200 monthly laundry reimbursement

• $200 monthly personal wellness reimbursement

• Health Dental Vision insurance

Required Experience:

IC