Rust AI Data Training Reviewer

You will review AI-generated Rust code and technical explanations, then provide clear feedback that helps improve AI models. The work includes writing strong Rust solutions, checking technical claims, and comparing multiple responses for correctness and clarity.

• Review Rust code for correctness, idiomatic style, and safe programming practices.
• Find problems with ownership, borrowing, lifetimes, concurrency, memory safety, and algorithmic reasoning.
• Evaluate step-by-step reasoning, safety, and whether responses follow the prompt.
• Write Rust solutions and precise technical explanations when needed.
• Rate and compare AI responses based on accuracy and clarity.

What It Pays And Takes

This is a remote, part-time contract role for an intermediate Rust developer. English is required, and the role is open only to contractors in the listed countries.

• Pay: $60 USD per hour.
• Time: 20 or more hours per week.
• Work arrangement: Remote contract, part time.
• Location: Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, the United States, Timor-Leste, or Vietnam.
• Language: English.
• Experience: 1 to 2 or more years of professional Rust development in backend, command-line, or systems work.
• Education: Bachelor’s degree in Computer Science or a closely related technical field.
• Skills: Strong knowledge of ownership, borrowing, lifetimes, memory safety, traits, generics, pattern matching, and error handling.
• Writing: Excellent English skills and the ability to give precise, structured technical explanations.
• Preferred background: AI data training, large-scale code review, LLMs, Tokio, Actix, Serde, async Rust, competitive programming, or Rust open-source contributions.
• Helpful strengths: Careful attention to performance, concurrency, and correctness.

How It Works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI Training Work

AI training work uses human judgment to help improve artificial intelligence systems. Reviewers inspect code, text, or other model outputs and give detailed feedback so models can produce more accurate and useful results. Experienced specialists are needed when the work depends on technical knowledge such as Rust programming.