Product Engineer, Studio Platform

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

Studio is one of Mercor's highest-priority initiatives. It is the internal platform that powers every workflow our teams use to generate, manage, quality-review, and deliver data to the world's leading AI labs — and its quality directly shapes the frontier models that billions of people interact with.

As a Product Engineer on the Studio Platform team, you'll own the Studio user journeys end-to-end: the React frontend used daily by thousands of expert contributors and internal Strategic Project Leads, and the backend services powering data pipelines and delivery of outputs to customers. You'll also build and maintain the foundational layer that Mercor depends on to rapidly deploy new data types and task formats across the company. Four distinct stakeholders — AI labs, SPLs, expert contributors, and engineers— rely on what you build.

This is a role for someone who cares equally about engineering craft and product impact: shipping scalable, reliable systems and intuitive interfaces that make everyone who touches Studio faster and more effective.

You Will

• Own the Studio platform across the full stack — from contributor-facing and operator-facing React interfaces to the backend APIs and pipelines driving data ingestion, QA review, and AI lab delivery.

• Lead engineering best practices across the team, setting the bar for frontend architecture, component design, and performance, and establishing patterns that others can build on reliably.

• Build the foundational layer that other teams depend on to support new data types, task formats, and customer configurations quickly and without rework.

• Ship high-leverage product features that improve throughput and quality across our core data generation and delivery pipelines.

• Translate ambiguous requirements into well-scoped technical solutions through close collaboration with Applied AI researchers, product, design, and operations.

What We're Looking For

• 5+ years of fullstack engineering experience building and shipping production software.

• Bachelor’s Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, Computer Engineering, Information Systems or Statistic

• Deep proficiency in JavaScript/TypeScript (React + Next.js) and a strong grasp of frontend architecture, state management, and design patterns.

• Solid backend experience in Python and/or Node.js — experience designing and building relational databases, REST APIs, and async task infrastructure.

• Strong design sense and empathy for end-users; you hold a high bar for usability.

• Experience with complex, high-throughput systems — pipelines, large data volumes, or multi-tenant architectures.

• High ownership mindset; able to navigate ambiguity and drive projects from design through delivery.

• Strong communication skills and ability to articulate technical and product tradeoffs clearly.

Nice-to-Haves

• Experience building tooling for data labeling, annotation, or human-in-the-loop AI workflows.

• Background in design systems, developer-facing APIs, or internal platform engineering.

• Exposure to AI tools, LLM-powered products, or real-time data and visualization.

• Experience at top-tier tech companies or fast-scaling startups.

Why this role matters

• Every improvement to Studio impacts the quality and speed of data delivered to leading AI labs.

• The systems you build will be used daily by thousands of experts and operators.

• You'll help define how new evaluation environments, RL tasks, and data products are created at Mercor.

• Your work directly influences the training and evaluation of frontier AI models

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

Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.