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Alignerr Linkedin · Posted 28d ago

Full Stack Engineer

Seattle, Washington, United States

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Full Stack Engineer (AI Training)

About The Role

What if your full-stack expertise could directly shape how AI writes and understands code for millions of developers around the world? We're looking for experienced Full Stack Engineers to evaluate AI-generated code, review system designs, and help train the next generation of AI models — across the entire web stack.

This is a fully remote, flexible contract role built for senior engineers who want to do something meaningfully different with their skills. You'll work alongside world-leading AI research labs, applying your real-world engineering experience to make AI smarter, safer, and more technically rigorous.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Evaluate AI-generated code across the full stack — frontend (React, Vue) and backend (Node, Python, C#) — for correctness, efficiency, and best practices
  • Design and build full-stack tooling to support AI data annotation and quality control workflows
  • Review complex system architectures and provide detailed, actionable feedback on scalability and performance
  • Identify subtle bugs, edge cases, and architectural weaknesses in AI-produced code
  • Document your evaluations clearly and consistently using structured formats
  • Work independently and asynchronously — on your own schedule

Who You Are

  • 3–5+ years of professional full-stack engineering experience writing production-grade code
  • Proficient across the stack — JavaScript/TypeScript, Python, and ideally Rust
  • Strong grasp of system design principles, performance trade-offs, and scalable architecture
  • Exceptionally clear written communicator — you can explain complex technical decisions concisely
  • Master's or PhD in Computer Science or a related technical field from a reputable university
  • Self-directed and reliable when working independently without close supervision

Nice to Have

  • Experience with distributed systems, developer tooling, or AI/ML workflows
  • Familiarity with AI model evaluation or data annotation pipelines
  • Background in open-source development, technical writing, or code review at scale

Why Join Us

  • Work on cutting-edge AI projects alongside the world's leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, technically rigorous work
  • Make a direct, tangible impact on how AI understands and generates code at scale
  • Potential for ongoing work and contract extension as new projects launch
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