Cloud Engineer: AI QA & Model Training (Remote)

Outlier

Caguas (PR)

Remote

USD 39,000 - 55,000

Part time

20 hours ago
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Job summary

Outlier is seeking a QA Coder to help train AI models by auditing AI-generated code and providing structured feedback. This is a freelance, 1099 opportunity with flexible hours and remote work from anywhere.

Earn up to $34 USD per hour, with additional incentives based on project performance. As a QA Coder, you will review code, rate model responses on accuracy and instruction following, and write clear computer science prompts to challenge AI systems.

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 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
Live production codebase experience

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking a QA Coder to help train AI models by auditing AI-generated code and providing structured feedback. This is a freelance, 1099 opportunity with flexible hours and remote work from anywhere.

Earn up to $34 USD per hour, with additional incentives based on project performance. As a QA Coder, you will review code, rate model responses on accuracy and instruction following, and write clear computer science prompts to challenge AI systems.

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