Remote Full-Stack Engineer — AI Model QA

Outlier

Metropolitana

Remote

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

Full time

2 days ago
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Benefits offered by this job

Flexible remote work across LatAm
Free access to leading LLMs
Incentive-based earnings

Job summary

Outlier is building a remote QA coding program for Latin America, inviting experienced software engineers to help train AI models by reviewing AI-generated code, scoring model responses, and creating CS prompts. This is a freelance 1099 contract with earnings up to $34 USD/hr and additional mission-based incentives.

Ideal candidates hold a Bachelor's in Computer Science, have production code experience, and can express complex concepts in fluent 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
Software engineering mindset

Education

Bachelor's degree in Computer Science

Job description

Outlier is building a remote QA coding program for Latin America, inviting experienced software engineers to help train AI models by reviewing AI-generated code, scoring model responses, and creating CS prompts. This is a freelance 1099 contract with earnings up to $34 USD/hr and additional mission-based incentives.

Ideal candidates hold a Bachelor's in Computer Science, have production code experience, and can express complex concepts in fluent English.

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