Remote JS QA Coder — Help Train AI Models

Outlier

Cartagena de Indias

Remote

COP 121,921,000 - 173,645,000

Part time

2 days ago
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Benefits offered by this job

Remote work from anywhere
Free access to leading LLMs
Incentives program
Competitive pay up to $34/hr

Job summary

Outlier is offering a remote, flexible program for experienced software engineers to help train AI models by reviewing and rating AI-generated code and crafting strong prompts. You can work from anywhere in Latin America, with compensation up to $34 USD per hour plus an incentives program that rewards missions and top performance.

Ideal candidates hold a Bachelor's degree in Computer Science, have production code experience, and communicate clearly 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: 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
Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is offering a remote, flexible program for experienced software engineers to help train AI models by reviewing and rating AI-generated code and crafting strong prompts. You can work from anywhere in Latin America, with compensation up to $34 USD per hour plus an incentives program that rewards missions and top performance.

Ideal candidates hold a Bachelor's degree in Computer Science, have production code experience, and communicate clearly in English.

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