Research Operations, Code

ABOUT MERCOR

Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.

We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.

Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.

Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.

ABOUT THE ROLE

In the Research Operations role at Mercor, you will work at the intersection of engineering and applied AI research. This role will own multi-million-dollar data programs end to end with responsibilities to:

• Reason about opportunities for frontier coding models, and translate that into the data that will make it stronger.
• Shape how data gets produced, including human-expert workflows, synthetic generation pipelines, and model-in-the-loop systems.
• Turn designs into scaled, high-quality data pipelines and own deliveries to customers.
• Build deep relationships with lab researchers and become the person they trust to tell them what data they actually need.

WHAT WE'RE LOOKING FOR

• Bachelor’s degree in Computer Science, a STEM field, or an equivalent technical discipline.
• At least two years of experience in software development or a forward deployed engineering role.
• A track record of running complex, high-stakes projects end to end, and genuine energy for large-scale execution and gritty process optimization under pressure.
• Strong analytical and communication skills; comfortable owning high-profile relationships with technical customers.

NICE TO HAVE

• Experience designing scalable data or automation pipelines
• Research fluency: connecting model/benchmark literature to what data would move a frontier model; having created a benchmark or published analysis of model behavior.
• Backgrounds that often fit: data scientists, software engineers, or forward deployed engineers who love operating, technical PMs, research engineers, or strong generalist operators with real technical range. Backgrounds from consulting, finance, or high-growth startups can work if paired with real technical fluency.

BENEFITS

• 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