Full Stack Developer
Alignerr
full-remoteseniorcontractfullstack Seattle, WA 14 days ago via LinkedIn
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Full-Stack DevelopmentJavaScriptTypeScriptPythonRustReactVue.jsNode.jsSystem DesignAI Model Evaluation
About the role
Role overview
Full Stack Developer (AI Training) to help AI research teams by reviewing AI-generated code, stress-testing designs, and building tooling that improves AI quality across the full web stack. This is a fully remote, flexible hourly contract.
Responsibilities
- Evaluate AI-generated code across the full stack (frontend + backend)
- Identify bugs, architectural weaknesses, and performance bottlenecks in AI-produced code and designs
- Design and build full-stack tooling for AI data annotation and quality control workflows
- Review system architectures and provide feedback on scalability, reliability, and efficiency
- Write clear, structured technical feedback to improve AI model outputs
- Work independently and asynchronously on your own schedule
Requirements
- 3–5+ years of professional full-stack development experience shipping production-grade code
- Strong proficiency in JavaScript/TypeScript, Python, and Rust
- Comfortable across frontend and backend layers (no hand-holding required)
- Strong code quality and engineering best practices; excellent system design instincts
- Excellent written communication for explaining complex technical decisions
Nice to have
- Master’s or PhD in Computer Science or related technical field
- Experience with distributed systems, microservices, or high-scale infrastructure
- Background in developer tooling, CI/CD pipelines, or platform engineering
- Familiarity with AI/ML workflows, model evaluation, or data annotation pipelines
- Experience with code review, technical writing, or engineering mentorship
Logistics
- Fully remote, asynchronous
- 10–40 hours/week hourly contract
About Alignerr
Alignerr works with AI research teams to improve how AI systems generate, evaluate, and reason about code. The company supports AI training and quality workflows across the web stack, combining engineering expertise with data annotation and model evaluation practices.
Scraped 4/28/2026