Join Alignerr as a Senior Full Stack Engineer to evaluate AI-generated code, design tooling, and review system architectures. This remote, flexible contract role requires 3-5+ years of full-stack experience and a strong grasp of system design principles. You'll work independently and asynchronously to make a direct impact on AI code understanding and generation.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
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
- 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
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- 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
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- 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
- 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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