Mercor's 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 can't be captured in code alone. Today, more than 30,000 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. 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 RoleAs a Member of Technical Staff on the Talent Experience team, you'll build the systems that evaluate the skills and expertise of the world's top talent at scale.
Assessment is at the core of how Mercor works: every expert in our network is vetted, matched, and continuously evaluated through our assessment platform. You'll own backend-heavy, full-stack work across this platform—designing evaluation pipelines, building the services that power AI-assisted interviews and skill verification, and shipping the product surfaces that tens of thousands of candidates and experts interact with every day.
You'll work directly with the Assessment product lead on roadmap and execution, with significant ownership from day one. This is a high-leverage role: improvements to assessment quality and throughput compound across everything Mercor does.
Design, build, and ship backend services and APIs that power Mercor's assessment platform at scale.
Own features end-to-end—from product discussions and technical design to implementation, testing, and release.
Build evaluation pipelines and data models that combine human judgment with AI-powered scoring.
Contribute across the stack, including the candidate- and expert-facing product surfaces of assessment flows.
Partner closely with Product, AI, and Data teams to translate assessment research into production systems.
Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.
Improve the performance, reliability, and observability of assessment infrastructure.
Solve real customer problems and continuously improve candidate and expert experience.
3+ years of professional software engineering experience building production systems.
Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases.
Comfortable working across the stack, including modern frontend frameworks (e.g. React/TypeScript) when the product needs it.
Experience building or integrating LLM-powered features in production is a strong plus.
Comfortable building products using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) to accelerate software development.
Strong software engineering fundamentals, including testing, debugging, and performance optimization.
Excellent product intuition—you enjoy building products that people actually use.
Comfortable working in fast-moving environments with evolving priorities.
High ownership, curiosity, and a bias toward shipping.
Impact: Build the evaluation systems that decide how tens of thousands of AI experts are matched to the world's most important AI work.
Ownership: Join a small, high-velocity engineering team where you'll own features end-to-end and shape the assessment roadmap from day one.
Learning: Work alongside world-class engineers, product leaders, and AI researchers building products at the frontier of AI.
Growth: Rapid career progression with opportunities to expand ownership as the assessment platform and engineering organization scale.
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
Skills Required
- 3+ years professional software engineering experience building production systems
- Strong backend fundamentals: API design, data modeling, distributed systems, relational databases
- Experience across the stack, including modern frontend frameworks (React, TypeScript)
- Experience building or integrating LLM-powered features in production
- Comfortable using modern AI development/coding tools (e.g., Cursor, Claude Code, GitHub Copilot, Codex)
- Strong software engineering fundamentals: testing, debugging, performance optimization
- Excellent product intuition and ability to own features end-to-end in fast-moving environments
Mercor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mercor and has not been reviewed or approved by Mercor.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, with clear hourly ranges and an hourly/pay‑per‑task mix designed to align rates with expertise. The structure emphasizes transparent, appropriate pay levels and guarantees payment for legitimate logged time.
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Strong & Reliable Incentives — Payments are processed on a predictable weekly cadence via Stripe/Wise, and some tracks offer additional weekly bonus incentives for top performers. This combination of regular payouts and performance bonuses supports dependable earnings when projects are active.
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Equity Value & Accessibility — Select full‑time roles include generous equity grants alongside cash perks such as relocation and housing bonuses. These elements increase total compensation for those positions.
Mercor Insights
What We Do
We use AI to understand human ability and match talent with the opportunities they're best suited for.









