Remote AI QA Engineer: Code Review & Prompts

Outlier

Cancún

Remote

MXN 718,000 - 1,023,000

Part time

45 hours ago
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Job summary

Outlier is seeking a QA Coder for a remote program open to Latin America. You will review AI-generated code and flag issues, rate model responses, and craft clear computer science prompts that push AI systems to improve code generation.

Ideal candidates hold a Bachelor's degree in Computer Science, have software engineering experience contributing to production code, and communicate complex concepts fluently in English with meticulous attention to detail.

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

Attention to detail
English fluency
Production code experience

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking a QA Coder for a remote program open to Latin America. You will review AI-generated code and flag issues, rate model responses, and craft clear computer science prompts that push AI systems to improve code generation.

Ideal candidates hold a Bachelor's degree in Computer Science, have software engineering experience contributing to production code, and communicate complex concepts fluently in English with meticulous attention to detail.

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