Remote AI QA Coder — Review, Rate, & Craft Prompts

Outlier

Caracas

Remote

VES 34,287,000 - 48,833,000

Full time

5 days ago
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Job summary

Outlier invites experienced software engineers to join as QA Coders, reviewing AI-generated code and rating model responses to improve coding AI outcomes. You will also craft clear CS prompts to challenge AI models and contribute to training data sets.

The opportunity is remote, open to Latin America, and paid on a freelance 1099 basis. Ideal candidates have a Computer Science degree, production-grade software experience, and fluent English with strong attention to detail.

Qualifications

  • Completed a Bachelor's degree 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 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.
  • 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
Software engineering experience

Education

Bachelor's degree in Computer Science

Job description

Outlier invites experienced software engineers to join as QA Coders, reviewing AI-generated code and rating model responses to improve coding AI outcomes. You will also craft clear CS prompts to challenge AI models and contribute to training data sets.

The opportunity is remote, open to Latin America, and paid on a freelance 1099 basis. Ideal candidates have a Computer Science degree, production-grade software experience, and fluent English with strong attention to detail.

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