Full Stack Engineer

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

• Commitment : 10–40 hours/week

• 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

• Work independently and asynchronously — on your own schedule

• 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

• Self-directed and reliable when working independently without close supervision

• 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

• Background in open-source development, technical writing, or code review at scale

• 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