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OpenTrain AI

C Programmers - AI Training Data - Long-term Project

OpenTrain AI · Remote · Worldwide · Posted Jun 9, 2026

Apply for this job Hourly · $8.85/hr

About OpenTrain

OpenTrain is a central job board for data-labeling and AI-training work, aggregating opportunities from many AI companies and labeling platforms so you can find this type of work in one place.

Creating an OpenTrain account is free, and applying for roles typically takes only a few minutes.

About AI Training Work (C-focused)

AI training is the human process that teaches models how to write, understand, and fix code by providing high-quality examples and corrections. In coding projects, contributors create target programs, rate or fix AI outputs, and assemble datasets that models learn from.

This project focuses on C code: generating concise examples, debugging AI-generated snippets, and producing clear, reproducible training data that helps models produce correct, optimized C programs.

The Role

We are hiring C developers to contribute to a long-term AI training project. You'll generate C code snippets and short programs from prompts, debug and improve AI-generated C, and produce precise labeled examples used to train models.

This is a remote, contract, part-time role for 6 or more months with a flexible schedule. Expected weekly commitment is 20–40 hours. Pay is hourly at USD 8.85 per hour. After you submit your proposal, you will receive a C coding assessment to complete as part of the evaluation.

  • Duration: 6+ months
  • Time commitment: 20–40 hours per week (flexible schedule)
  • Employment type: Contractor, Part-time
  • Pay: USD 8.85 per hour (pay-per-hour)

What You'll Do

Day-to-day tasks center on producing high-quality C examples and corrections that become training data for AI systems.

  • Write C code snippets and short programs to match specific prompts and requirements.
  • Review and debug AI-generated C code, correcting logic, syntax, memory management, and edge cases.
  • Optimize and refactor small programs to meet target constraints (clarity, performance, correctness).
  • Annotate and document examples so they are reproducible and unambiguous for model learning.
  • Follow labeling guidelines and quality standards to ensure datasets are consistent and reliable.

Requirements

Candidates must meet the stated educational, experience, and logistics requirements to be considered.

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • At least 2 years of professional software development experience with a strong focus on C.
  • Proven ability to develop, troubleshoot, and optimize C code.
  • Excellent problem-solving skills and strong attention to detail.
  • Effective communication skills in English to collaborate with a remote team.
  • Stable internet connection and reliable electricity to ensure consistent remote work.
  • Ability to commit 20–40 hours per week for a duration of at least 6 months.
  • Prior experience in AI data labeling or training is preferred but not required.
  • Experience level listed for this role: Entry level (per job posting data).

How the Hiring Process Works

To apply, submit your proposal through the OpenTrain listing. After submission you will receive a C coding assessment to complete; successful completion is required for further consideration.

We will review proposals and assessment results, then contact selected candidates with next steps and onboarding details.

  • Submit proposal via OpenTrain
  • Complete the emailed C coding assessment
  • Assessment and application reviewed; selected applicants contacted

Who Should Apply

This role is a fit for developers who are comfortable writing and debugging C and who want to contribute directly to datasets that teach AI systems to code. It suits people who need remote, flexible part-time work and can reliably commit 20–40 hours weekly for an extended project.

  • C developers with 2+ years’ experience and a relevant degree.
  • Remote-friendly contributors who have stable internet and power.
  • People who enjoy clear technical tasks: writing examples, fixing bugs, and documenting solutions.