AI QA Coder: Review & Train Code Models (Remote)

Outlier

Rosario

Remote

ARS 59,527,000 - 84,780,000

Full time

2 days ago
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Job summary

Outlier invites experienced software engineers to join a remote QA coder program that helps train AI models on code generation, debugging, and evaluation. You will review AI-generated code, rate model responses on key dimensions, and craft clear CS prompts.

This is a freelance 1099 contract in LatAm, with flexible hours and performance-based incentives. Applicants from Argentina and other Latin American countries are welcome; strong English, attention to detail, and production-code experience

Qualifications

  • Bachelor's degree 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 fluency
Live production code experience
Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier invites experienced software engineers to join a remote QA coder program that helps train AI models on code generation, debugging, and evaluation. You will review AI-generated code, rate model responses on key dimensions, and craft clear CS prompts.

This is a freelance 1099 contract in LatAm, with flexible hours and performance-based incentives. Applicants from Argentina and other Latin American countries are welcome; strong English, attention to detail, and production-code experience

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