Full Stack Developer
Indexed description
This is a fully remote, flexible contract role built for experienced engineers who want to do meaningful, high-impact work on their own schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate AI-generated code across the full stack — from frontend interfaces (React, Vue) to backend logic (Node.js, Python, C#)
- Identify bugs, architectural weaknesses, and performance bottlenecks in AI-produced code and designs
- Design and build full-stack tooling to support AI data annotation and quality control workflows
- Review complex system architectures and provide expert feedback on scalability, reliability, and efficiency
- Write clear, structured technical feedback that helps improve AI model outputs
- Work independently and asynchronously — fully on your own schedule
- 3–5+ years of professional full-stack development experience shipping production-grade code
- Strong proficiency across JavaScript/TypeScript, Python, and Rust
- Comfortable working across both frontend and backend layers without hand-holding
- Sharp eye for code quality, system design, and engineering best practices
- Excellent written communicator — you can explain complex technical decisions clearly and precisely
- Master's or PhD in Computer Science or a related technical field from a reputable institution
- 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
- Prior experience in code review, technical writing, or engineering mentorship
- Work directly with world-leading AI research labs on cutting-edge model development
- Fully remote and async — work when and how it suits you
- Freelance autonomy with the satisfaction of structured, high-impact technical work
- Make a tangible difference in how AI understands, writes, and evaluates code at scale
- Ongoing contract potential as new AI training projects continue to launch
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