Alignerr is seeking experienced Full Stack Engineers to evaluate AI-generated code and help train the next generation of AI models. This role involves reviewing system designs and building tooling to support AI data annotation and quality control workflows.
Responsibilities:
- 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
Requirements:
- 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
- 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