Mercor Logo

Mercor

Software Engineer, Fullstack

Posted 16 Days Ago
In-Office
San Francisco, CA
200K-200K Annually
Senior level
In-Office
San Francisco, CA
200K-200K Annually
Senior level
As a Software Engineer, you'll architect and scale distributed systems, mentor junior engineers, and influence product decisions for AI development projects.
The summary above was generated by AI
About Mercor

Mercor is at the intersection of labor markets and AI research. 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 $1.5 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 new San Francisco headquarters.

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.

What You’ll Do

  • 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.

What We’re Looking For

  • 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.

Why Mercor

  • 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.

Benefits

  • 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

Top Skills

Python
HQ

Mercor San Francisco, California, USA Office

San Francisco, California , United States, 94105

Similar Jobs

Yesterday
Remote or Hybrid
Santa Clara, CA, USA
141K-239K Annually
Senior level
141K-239K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves building clean, scalable software, collaborating on product requirements, integrating AI into workflows, and ensuring code quality through testing and reviews.
Top Skills: JavaScriptJunitSeleniumTestng
Yesterday
Remote or Hybrid
San Diego, CA, USA
147K-258K Annually
Senior level
147K-258K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
In this role, you'll develop high-quality software, enhance products, implement features, contribute to code reviews, and integrate automated testing while collaborating with product teams to improve user experiences.
Top Skills: Ai Productivity ToolsCi/Cd PipelinesJavaScriptJunitSeleniumTestngUnix-Based Systems
3 Days Ago
In-Office
8 Locations
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Senior Software Engineer at Proto, you will architect and lead development for mining infrastructure, mentor engineers, and drive technical strategy.
Top Skills: AWSDockerGoGrafanaGrpcInfluxdbKafkaKubernetesMqttMySQLPrometheusProtocol BuffersRustTimescaledbTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account