You will own full-stack development across React, Node.js, and Web3 integrations while scaling data-intensive systems. You will also design infrastructure for real-time market data and collaborate on technical architecture for decentralized applications.
Join the G2i talent pool to be matched with projects involving AI labs and fast-growing companies. Work on diverse tasks ranging from model evaluations and RL environments to training data for frontier models.
Evaluate the quality and reasoning of AI-generated coding interactions to ensure they reflect strong engineering judgment. Provide clear, opinionated feedback on model performance and help define standards for AI-assisted development.
Evaluate AI-generated coding interactions to assess the quality, reasoning, and engineering judgment of modern coding agents. Provide clear, opinionated written feedback and video explanations to help define high-quality engineering standards.
Evaluate AI coding agents’ interactions end-to-end, judging the usefulness, high-level correctness, reasoning, explanations, and engineering judgment reflected in their responses. Provide clear, opinionated feedback on response quality and help define what excellent interactions with AI development tools should look like.
Evaluate the quality of AI-generated coding interactions to ensure they reflect strong engineering judgment and reasoning. Provide clear, opinionated written and video feedback to help define high standards for AI-assisted development.
Evaluate AI-generated coding interactions to assess the quality of reasoning, engineering judgment, and overall helpfulness. Provide clear, opinionated written and video feedback to help define high-quality standards for AI coding agents.
Evaluate AI-generated coding interactions to assess the quality, reasoning, and engineering judgment of modern coding agents. Provide clear, opinionated written feedback and video walkthroughs to help define high-quality AI-assisted development standards.
Evaluate the quality, reasoning, and engineering judgment of AI-generated coding interactions. Provide clear, opinionated written and video feedback to help define high-quality standards for AI coding agents.
Evaluate AI-generated coding interactions to assess the quality, reasoning, and engineering judgment of modern coding agents. Provide clear, opinionated written and video feedback to help define high-quality standards for AI-assisted development.
The recruiter will manage high-volume screening calls and move candidates through a fast-paced hiring process for frontier AI lab projects. They are responsible for activating the bench, sourcing talent, and hitting tight hiring targets to meet project demands.
Develop and maintain software applications using Elixir while collaborating with the engineering team to deliver product features. Investigate bugs, improve application performance, and participate in code reviews to ensure high-quality, maintainable code.
You will own the product roadmap for a document intelligence platform, translating complex business and technical needs into clear, testable requirements. You will collaborate across data science, engineering, and UX teams to ensure high-quality, measurable AI outcomes for government clients.
Evaluate AI-generated coding interactions to assess the quality, reasoning, and engineering judgment of modern coding agents. Provide clear, opinionated written feedback and video explanations to help define high-quality engineering standards.
Manage and optimize CI/CD pipelines, build systems, and deployment workflows for mobile and web applications. Troubleshoot build failures, resolve React Native bugs, and contribute UI updates as needed.
You will build and operate production-grade LLM agent systems, focusing on orchestration, tool-calling, and retrieval pipelines. Additionally, you will develop repeatable evaluation frameworks to measure agent performance and ensure system reliability.
The Head of Physical AI will lead the research and engineering function, defining the technical roadmap and personally contributing to model design and evaluation. This player-coach role involves building a high-performing team while ensuring the successful deployment of AI models onto physical robotic systems.
The Senior DevOps Engineer will build, operate, and improve infrastructure for FedRAMP-authorized environments using public cloud and Kubernetes. They will also design CI/CD pipelines, manage infrastructure as code, and ensure system reliability and compliance.
