Remote AI QA Engineer - Train Models & Improve Code

Outlier

Buenos Aires

Remote

ARS 59,527,000 - 84,780,000

Full time

2 days ago
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Benefits offered by this job

Flexible location
Free access to AI tooling
Up to 40 hrs/week

Job summary

Outlier is seeking QA Coders to review AI-generated code and rate model responses, helping to improve code generation accuracy and instruction following. This flexible, freelance role welcomes applicants across Latin America and beyond, with up to 40 hours per week and a supportive onboarding process.

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

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

Production codebase experience
Excellent English
Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking QA Coders to review AI-generated code and rate model responses, helping to improve code generation accuracy and instruction following. This flexible, freelance role welcomes applicants across Latin America and beyond, with up to 40 hours per week and a supportive onboarding process.

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

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