Software Engineer, Fullstack

This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

About Mercor Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is used by all of the top 5 AI labs. We scaled from $1–$500M in revenue run rate in the last 17 months, making us the fastest growing company in the world.

Our growth is accelerating: 11% week-over-week in July, 18% in August, and 19% in September. The team is small, profitable, and growing as fast as we can hire exceptional people.

About The Role As a Software Engineer at Mercor, you’ll take end-to-end ownership of complex projects that power the workflows of the world’s leading AI companies. You’ll architect and scale distributed systems, mentor other engineers, and set technical direction for high-impact initiatives. This role goes beyond coding: you’ll help shape engineering culture, influence product decisions, and ensure our systems scale in lockstep with our hyper-growth.

At The End Of The Process, You’ll Be Team-matched To Where You Can Have The Most Impact, On One Of The Following

• Talent platform side – building next-generation tools that automate recruiting end-to-end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments.
• Applied AI/human data side – partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities.

• Design, build, and scale production-grade backend APIs, services, and infrastructure.
• Take ownership of system design and architecture decisions that impact core workflows.
• Mentor and support junior engineers through code reviews, pair programming, and design discussions.
• Partner with Product and Design to deliver features quickly without sacrificing quality or scalability.
• Anticipate technical bottlenecks, propose solutions, and drive initiatives that increase reliability.
• Contribute to the systems that enable OpenAI, Anthropic, Google, and others to train and evaluate their models.

• Strong coding fundamentals in Python (our primary backend), though interviews are language-agnostic.
• Deep understanding of distributed systems, scalability challenges, and system design.
• Experience shipping production systems at scale in high-growth or high-stakes environments.
• Ability to reason about trade-offs and make decisions balancing speed and reliability.
• Strong communication skills with an ability to align technical and business goals.
• Bias toward ownership, curiosity, and delivering simple solutions to complex problems.

• Impact:
  Your work powers how the world’s leading AI labs train and test their models.
• Learning:
  Get early insights into frontier model capabilities months before the market.
• Growth:
  Work on both infrastructure and research-adjacent projects with fast paths to ownership.

• Generous equity grant vested over 4 years
• A $20K relocation bonus (if moving to the Bay Area)
• A $10K housing bonus (if you live within 0.5 miles of our office)
• A $1K monthly stipend for meals
• Free Equinox membership
• Health insurance

Compensation Range: $130K - $500K

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Software Development

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Software Engineer, Fullstack, Early Career – San Francisco, CA, $-$