Remote Java QA Engineer for AI Code Training

Outlier

Valparaíso

Remote

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

Part time

44 hours ago
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Benefits offered by this job

Flexible remote work
Free access to leading LLMs
Incentive payments

Job summary

Outlier offers a structured, fully remote program for LatAm software engineers to help train AI models in code generation and debugging. The program is open to applicants across Latin America, with pay to $34 USD/hr plus incentives.

You will review AI-generated code, rate model outputs, and craft challenging CS prompts while working remotely from anywhere. Ideal candidates hold a Bachelor's in CS, have live production code experience, and communicate fluently in English.

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 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 and flag errors, inconsistencies, or quality issues using structured guidelines.
  • Rate and rank model responses across key dimensions — accuracy, instruction following, and presentation.
  • Write computer science questions: develop clear, well-structured prompts that challenge AI models and push coding ability.

Skills

Attention to detail
Written and spoken English
Software collaboration

Education

Bachelor's degree in Computer Science

Tools

Production codebase

Job description

Outlier offers a structured, fully remote program for LatAm software engineers to help train AI models in code generation and debugging. The program is open to applicants across Latin America, with pay to $34 USD/hr plus incentives.

You will review AI-generated code, rate model outputs, and craft challenging CS prompts while working remotely from anywhere. Ideal candidates hold a Bachelor's in CS, have live production code experience, and communicate fluently in English.

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