We're looking for a seasoned Full Stack Developer to work with leading AI research teams, reviewing AI-generated code, stress-testing system designs, and building tools to improve AI model outputs. This is a flexible, remote contract role. The ideal candidate has 3-5+ years of full-stack experience, strong proficiency in multiple programming languages, and excellent written communication skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Full Stack Developer (AI Training)
About The Role
What if your years of full-stack experience could directly shape how AI writes, evaluates, and reasons about code for millions of developers worldwide? We're looking for seasoned Full Stack Developers to work with leading AI research teams — reviewing AI-generated code, stress-testing system designs, and helping build the tools that make AI smarter across the entire web stack.
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
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- 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
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- 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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