Remote Python Software Engineer — AI Code QA & Review

Outlier

Puebla de Zaragoza

Remote

MXN 718,000 - 1,023,000

Full time

2 days ago
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Job summary

Outlier is building a remote program for LatAm's best software engineers to train AI models through hands-on coding tasks. As a QA Coder, you will review AI-generated code, rate model responses, and write computer science prompts. No AI experience required, just strong CS background and English proficiency.

Work from anywhere in Latin America as a freelance 1099 contractor. Earn up to $34 USD/hr, with additional incentives based on project performance.

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

Software engineering
English proficiency
Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is building a remote program for LatAm's best software engineers to train AI models through hands-on coding tasks. As a QA Coder, you will review AI-generated code, rate model responses, and write computer science prompts. No AI experience required, just strong CS background and English proficiency.

Work from anywhere in Latin America as a freelance 1099 contractor. Earn up to $34 USD/hr, with additional incentives based on project performance.

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