Software Engineer Intern
MercorAdded 1h ago
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What you'll do
- Develop and deploy backend infrastructure supporting AI companies' essential operations
- Take full responsibility for projects from conception through production launch
- Contribute code meeting production standards while connecting technical choices to business goals
- Contribute to either recruiting automation tools or datasets for frontier AI model training
What they're looking for
- Currently enrolled in Computer Science or equivalent program, graduating 2026–2028
- Proficiency with Python, Go, or JavaScript
- Solid grasp of core computer science fundamentals and system architecture
- Experience with REST services, relational and non-relational databases, and cloud infrastructure
- Genuine interest in AI development and early-stage companies; comfortable in office settings
Pay and perks
- $1.5K monthly food allowance
- Complimentary Equinox gym access
- Guidance from senior technical staff
- Possible conversion to permanent role
About Mercor
Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
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 Role
As a Software Engineer Intern at Mercor, you'll join a small, product-driven engineering team building modern backend systems that power critical workflows for some of the most advanced AI companies in the world. You'll own projects end-to-end, designing, building, and shipping production systems that directly impact customers. From day one you'll write production-grade code, reason about systems holistically, and make decisions that tie directly to business outcomes. You'll work closely with product and design, moving fast while upholding a high bar for code quality, scalability, and simplicity.
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 We're Looking For
- Pursuing a degree in Computer Science or a related field (graduating 2026–2028).
- Strong programming skills in Python, Go, or JavaScript.
- Understanding of data structures, algorithms, and distributed systems
- Familiarity with APIs, SQL/NoSQL databases, and cloud platforms
- Curiosity and passion for AI and startups
- Excited to work in person and thrive in a fast-paced environment
Why Mercor
Impact: Your work powers how AI labs train and deploy their models
Learning: Get early exposure to frontier AI research and engineering
Growth: Work with a high-velocity team where interns ship to production
Benefits
- Mentorship from experienced engineers.
- Work on real, high-impact projects.
- $1.5K monthly stipend for meals
- Free Equinox membership
- Team events and offsites.
- Potential full-time return offer.
From Mercor's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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