QA Coder: Train AI Code Gen (Remote, LatAm)

Outlier

Puebla de Zaragoza

Remote

MXN 512,000 - 871,000

Full time

2 days ago
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Job summary

Outlier is building a remote, globally distributed team of QA Coders to help train AI models on code generation. Join a flexible program designed for Latin America, with projects that involve reviewing AI-generated code, scoring model responses, and crafting prompts to push coding capabilities.

This 1099 contract role offers competitive pay up to $34 per hour, plus incentives based on project performance. Applicants from listed Latin American countries are welcome to apply.

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

English proficiency
Attention to detail
Production codebase experience

Education

Bachelor's degree in Computer Science

Job description

Outlier is building a remote, globally distributed team of QA Coders to help train AI models on code generation. Join a flexible program designed for Latin America, with projects that involve reviewing AI-generated code, scoring model responses, and crafting prompts to push coding capabilities.

This 1099 contract role offers competitive pay up to $34 per hour, plus incentives based on project performance. Applicants from listed Latin American countries are welcome to apply.

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