Remote LATAM QA Coder for AI Model Training

Outlier

Carolina (PR)

Remote

USD 28,000 - 47,000

Part time

16 hours ago
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Benefits offered by this job

Remote contract work
Incentive payments
Access to leading LLMs

Job summary

Outlier offers a remote program for Latin America's best software engineers to help train AI models by reviewing and ranking code. You will flag issues, evaluate model responses, and craft prompts to push coding capabilities.

This is a 1099 contract opportunity, with remote work from multiple Latin American countries. Core pay is up to $34 USD/hr, plus incentives based on project performance and access to leading LLMs.

Qualifications

  • Completed a Bachelor's degree in Computer Science from a selective institution.
  • Software engineering experience contributing to a live production codebase.
  • 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

Software engineering
English proficiency
Attention to detail
Code review

Education

Bachelor's degree in Computer Science

Job description

Outlier offers a remote program for Latin America's best software engineers to help train AI models by reviewing and ranking code. You will flag issues, evaluate model responses, and craft prompts to push coding capabilities.

This is a 1099 contract opportunity, with remote work from multiple Latin American countries. Core pay is up to $34 USD/hr, plus incentives based on project performance and access to leading LLMs.

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