Remote QA Coder for AI Code Training

Outlier

La Serena

Remote

CLP 38,488,000 - 54,816,000

Full time

14 hours ago
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Benefits offered by this job

Competitive hourly rate
Missions incentives
Free access to leading LLMs

Job summary

Outlier invites you to join a remote program where you apply your software engineering skills to train AI models in code generation. You’ll review AI-produced code, rate model responses for accuracy and instruction adherence, and craft strong CS prompts. This 1099 contract offers flexible LATAM-wide participation with competitive pay and incentives.

Apply from Argentina, Brazil, Chile, and more. Ideal candidates hold a CS degree, have production codebase experience, and communicate in English

Qualifications

  • Software engineering experience contributing to a live production codebase.
  • 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 experience
English fluency
Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier invites you to join a remote program where you apply your software engineering skills to train AI models in code generation. You’ll review AI-produced code, rate model responses for accuracy and instruction adherence, and craft strong CS prompts. This 1099 contract offers flexible LATAM-wide participation with competitive pay and incentives.

Apply from Argentina, Brazil, Chile, and more. Ideal candidates hold a CS degree, have production codebase experience, and communicate in English

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