Software Engineer – AI Model Evaluation

**Software Engineer – AI Model Evaluation (Technical Advisor)** Remote (United States) \| W2 Contract \| $150/hour \| 6\-Month Contract (Possibility of Extension) **Shape the Future of AI — From the Inside** Our client is a leading AI safety and research company dedicated to building AI systems that are reliable, beneficial, and genuinely understandable. Right now, they're focused on a critical question: how well do today's most advanced coding agents actually perform on real, production\-grade software engineering work? This is your opportunity to help answer that question directly, working alongside one of the most respected names in AI research. As a Software Engineer – Technical Advisor, you won't be writing product code from scratch. Instead, you'll serve as a high\-bar technical authority — reviewing model\-generated pull requests, dissecting full agent session logs, and building rigorous test problems that expose exactly where and why frontier AI models succeed or fail at real engineering tasks. This role demands sharp code review instincts, deep production experience, and the ability to put rigorous technical reasoning into writing. **What You'll Do** * Audit model\-generated pull requests against real production repositories, documenting every issue with severity ratings and detailed technical rationale * Evaluate full coding\-agent session logs to determine what the model investigated, verified, assumed, or missed * Design and build container\-based (Docker) technical benchmarks used to test AI models * Write clear, original technical rationales explaining why code fails — all written work must be self\-authored, without AI writing tools * Collaborate asynchronously with AI researchers to share findings and help refine evaluation criteria **What You Bring** * 8\+ years of production engineering experience (exceptions considered only for truly exceptional profiles) * Background as a Senior, Staff, or Principal Software Engineer, Tech Lead, or Open\-Source Maintainer * Experience working in production codebases with a strict code review culture — startup, big tech, or open source * Polyglot adaptability: strong Python and TypeScript experience is common, but comfort picking up unfamiliar languages weekly is a must * Solid command of Docker, git, and CLI to reproduce, isolate, and debug issues locally * Cross\-layer fluency across backend, frontend, APIs, data, testing, or developer tooling * Excellent written communication — able to clearly explain *why* code fails, not just how to fix it **This Role Is Not a Fit If You...** * Are an Engineering Manager or Director who no longer writes or reviews code regularly * Have experience limited to low\-code, no\-code, or single\-framework MVPs without production code review exposure * Work primarily as a QA tester or non\-technical prompt engineer * Lack hands\-on Docker and terminal/CLI experience * Are unwilling to complete a CodeSignal screening or write original, self\-authored tec