Full Stack Engineering Specialist - Freelance AI Trainer Project

Role overview Evaluate AI-generated software work across frontend and backend development, using your full stack experience to judge code quality and architectural choices. You’ll identify errors and weaknesses in model outputs and provide structured feedback that can improve prompts, evaluation methods, and engineering guidance.

Responsibilities - Review and annotate AI-generated code spanning the application stack. - Check outputs for logical and structural soundness, correctness, efficiency, and scalability. - Identify and document recurring mistakes or other quality issues. - Apply sound engineering practices when assessing frontend, backend, and data-layer choices. - Suggest refinements to prompts, evaluation methods, and development guidelines.

Requirements - Experience with both frontend and backend technologies. - Strong knowledge of languages such as JavaScript or TypeScript, Python, or Java. - Experience with frameworks such as React, Node.js, or Django. - Familiarity with SQL and/or NoSQL databases. - Clear communication, problem-solving skills, and attention to detail.

Nice to have - Experience with cloud services, CI/CD pipelines, or containerization tools such as Docker or Kubernetes.

Benefits and work setup - Remote contract work, with an advertised rate of $8–$65 per hour. The final rate depends on experience, expertise, and location and may differ from the range. - You provide a secure computer and stable internet. Health insurance and paid time off are not included.