Software Engineer, Applied AI- Evals

mercor.com; San Francisco (CA); Presencial; USD 150.000 - 200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bi-annual performance bonus

Equity grant vesting over 4 years

Relocation bonus up to $15k

Housing bonus up to $10K (within 0.5mi

Meal stipend $1.5K monthly

Equinox membership

Laundry reimbursement $200 monthly

Wellness reimbursement $200 monthly

Health, Dental, Vision insurance

Descripción de la vacante

Mercor in San Francisco is hiring a Software Engineer for the Evals product team. You will build scorecards, failure reports and dataset views to help customers turn eval runs into actionable decisions. You will address scale, grading accuracy and reproducibility while keeping the product simple to use.

The role grows with the platform, expanding from evals into post-training and new product areas. You will transform failures into data that improves models and drive impactful outcomes for

Formación

• BA/BS in Computer Science or related field.
• Strong full-stack skills in a modern backend language (Python, Go or TypeScript).
• Frontend experience with React or similar.
• Track record of owning product features end-to-end, from idea to production.
• Strong product sense and user-focused thinking.
• Experience building data-heavy products: data models, APIs and views over large results.
• Excellent written and verbal communication with engineers, researchers and customers.
• Comfort with ambiguity and a habit of shipping iteratively.
• Experience with LLM evals, benchmarks or AI developer tools is a plus.
• Startup experience or experience building B2B developer products is a plus.

Responsabilidades

• Build the product customers use to evaluate models: Ship APIs, data models and UI for running evals, comparing models and sharing scores.
• Own APEX launches: Run new frontier models on APEX and publish correct, defensible results to the public leaderboard.
• Explain why models fail: Build failure analysis tied to exact steps that went wrong.
• Make benchmarks easy to find and manage: Build dataset views, registries and versioning.
• Take customers from first login to self-serve: Build onboarding, roles, key management and usage views.
• Work directly with customers: Join pilots with labs and enterprises and translate needs into the roadmap.

Conocimientos

Full-stack skills

Backend languages (Python/Go/TypeScrip

Frontend: React

Own product features end-to-end

Product sense

Data-heavy products

Communication

Shipping iteratively

LLM evals / AI tools (plus)

Startup/B2B product experience (plus)

Educación

Bachelor's Degree in Computer Science or related field

Herramientas

Python

Go

TypeScript

React

Descripción del empleo

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

Mercor’s evals platform helps frontier labs and enterprises understand how their models perform on real work. Labs use it to decide what to train next, and enterprises use it to decide which models and agents to trust. It runs evals at scale, grades every result and explains why a model fails. The team also runs APEX, Mercor's family of benchmarks built with domain experts to measure how well frontier models do professional work in fields like law, finance and consulting. Its public leaderboard ranks the latest models, and its results appear in model cards across the industry.

As a Software Engineer on the Evals product team, you will build the scorecards, failure reports and dataset views that help customers turn eval runs into decisions. You will solve hard problems in scale, grading accuracy and reproducibility, while keeping the product simple to use.

This role grows with the platform, from evals into post-training and new product areas. You will help turn the failures we find into data that improves models.

What You'll Do

• Build the product customers use to evaluate models: Ship the APIs, data models and UI that help customers run evals, compare models and share scores.
• Own APEX launches: Run every new frontier model on APEX and publish correct, defensible results to the public leaderboard.
• Explain why models fail: Build failure analysis that helps customers see where their models fail, with each pattern linked to the exact steps that went wrong.
• Make benchmarks easy to find and manage: Build dataset views, registries and versioning that help customers find the right benchmark or bring their own.
• Take customers from first login to self-serve: Build onboarding, roles, key management and usage views that help new teams run evals on their own.
• Work directly with customers: Join pilots with labs and enterprises and turn what they need into the roadmap.

What We Are Looking For

• Bachelor's Degree in Computer Science or a related field
• Strong full-stack skills in a modern backend language (Python, Go or TypeScript) and a frontend framework such as React
• A track record of owning product features end to end, from idea to production
• Strong product sense that starts from what the user needs
• Experience building data-heavy products: data models, APIs and views over large volumes of results
• Excellent written and verbal communication with engineers, researchers and customers
• Comfort with ambiguity and a habit of shipping iteratively
• Experience with LLM evals, benchmarks or AI developer tools is a plus
• Startup experience or experience building B2B developer products is a plus

BENEFITS

• Bi-annual performance bonus structure
• Generous equity grant vested over 4 years
• Up to $15k Relocation bonus
• $10K housing 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.