Remote Python Developer for AI QA & Model Training

Outlier

Rosario

Remote

ARS 42,443,000 - 72,153,000

Full time

2 days ago
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Benefits offered by this job

Free access to leading LLMs

Job summary

Outlier is seeking a QA Coder to audit AI-generated code and ensure quality, while ranking model responses for accuracy and instruction adherence. You will craft clear CS prompts to challenge AI models and help improve code generation.

This is a freelance, 1099 opportunity with flexible, remote work across eligible Latin American countries. Applicants should hold a Bachelor's degree in Computer Science and demonstrate experience contributing to production codebases.

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 tech 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
Production codebase experience
English fluency (written & spoken)
Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking a QA Coder to audit AI-generated code and ensure quality, while ranking model responses for accuracy and instruction adherence. You will craft clear CS prompts to challenge AI models and help improve code generation.

This is a freelance, 1099 opportunity with flexible, remote work across eligible Latin American countries. Applicants should hold a Bachelor's degree in Computer Science and demonstrate experience contributing to production codebases.

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