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Internship

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Prime Intellect

Prime Intellect builds the 'Open Superintelligence Stack' — an integrated compute, training, inference, and sandbox platform that lets companies train, deploy, and continuously improve their own AI models and agents. It serves AI startups, 'neolabs', and enterprises (over 6,000 customers, including Ramp and Zapier) that want to own their model optimization loop rather than rely solely on closed frontier labs.

Maintainer signals as of 8/20/2026

San Francisco, USA
About Prime Intellect

Prime Intellect is a San Francisco-based AI infrastructure company building what it calls the Open Superintelligence Stack: a full-stack platform spanning GPU compute (on-demand and reserved clusters), large-scale reinforcement learning training ('Lab'), an Environments Hub with 2,500+ community RL environments, hosted evaluations, sandboxed code execution, and dedicated/serverless model inference with native LoRA support. The company maintains open-source libraries (verifiers and prime-rl) used to build and train RL environments, and publishes frontier open research such as the INTELLECT and SYNTHETIC model/dataset series. Prime Intellect works with AI startups, enterprises, and 'neolab' customers such as Ramp and Zapier, helping them turn production traces and evaluations into custom-trained, post-trained agent models that outperform closed frontier models on specific workflows at lower cost and latency. The company has raised over $150M in total funding, including a $130M Series A led by Radical Ventures with participation from NVIDIA Ventures, Intel Capital, and Dell Technologies Capital, and reports over $100M in annualized revenue.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will work on open-ended problems involving open, distributed AI. You may contribute through AI, systems, distributed compute, cryptography, or another technical area, drawing on your ability to learn quickly, execute effectively, and think deeply. You should describe what excites you, what you have built, and how you would accelerate decentralized AGI.

Requirements

  • Experience building real systems
  • Open-source contribution experience
  • Depth across technical domains
  • Ability to learn quickly
  • Ability to execute effectively
  • Deep thinking

Responsibilities

  • Work on open-ended technical problems
  • Contribute to open distributed AI
  • Apply expertise in AI, systems, distributed compute, cryptography, or another technical domain
  • Describe an impressive system or project you have built
  • Explain how you would accelerate decentralized AGI