QA Coder for AI Code Gen — Remote & Flexible

Outlier

Santiago de Querétaro

Remote

MXN 718,000 - 1,023,000

Full time

42 hours ago
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Benefits offered by this job

Up to $34/hr pay
LLM access
Flexible hours

Job summary

Outlier offers a remote, structured program where experienced software engineers help train AI models to generate, debug, and evaluate code for LatAm. The work involves reviewing AI-produced code, rating model responses, and crafting computer science questions to push model capabilities.

Roles are freelance, 1099 contract opportunities across Latin America. Qualified applicants have a CS degree, production code experience, and strong English.

Qualifications

  • Completed a Bachelor's degree or higher in Computer Science from a selective institution.
  • Software engineering experience contributing to a live production codebase ideally for a technology company.
  • Ability to articulate complex concepts fluently in written and spoken English.
  • Excellent attention to detail, including grammar, punctuation, and style guidelines.

Responsibilities

  • Review AI-generated code: Read through code produced by AI models and flag errors, inconsistencies, or quality issues using structured guidelines.
  • Rate and rank model responses: Score responses across key dimensions — accuracy, instruction following, and presentation — to help improve model output.
  • Write computer science questions: Develop clear, well-structured prompts that challenge AI models and push the boundaries of their coding ability.

Skills

Bachelor's degree in CS
Live production codebase experience
English fluency
Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier offers a remote, structured program where experienced software engineers help train AI models to generate, debug, and evaluate code for LatAm. The work involves reviewing AI-produced code, rating model responses, and crafting computer science questions to push model capabilities.

Roles are freelance, 1099 contract opportunities across Latin America. Qualified applicants have a CS degree, production code experience, and strong English.

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