Remote AI QA Coder — Earn $34/hr + Flexible Hours

Outlier

Barquisimeto

Remote

VES 34,287,000 - 48,833,000

Full time

5 days ago
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Benefits offered by this job

Free access to leading LLMs

Job summary

Outlier is seeking a QA Coder to join our distributed team and help train AI models by reviewing AI-generated code and providing structured feedback. You will rate model responses, write clear CS questions, and contribute to high-quality data used to improve AI systems.

The role emphasizes strong English communication, meticulous attention to detail, and practical software engineering experience with live production code. Remote collaboration is supported for eligible applicants worldwide.

Qualifications

  • Bachelor's degree or higher in Computer Science from a selective institution.
  • Software engineering experience contributing to a live production codebase, ideally for a tech 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 and flag errors, inconsistencies, or quality issues using structured guidelines.
  • Rate and rank model responses across key dimensions: accuracy, instruction following, and presentation to improve outputs.
  • Write CS questions: develop clear, well-structured prompts that challenge AI models and push coding boundaries.

Skills

Production code
English proficiency
Attention to detail
Software engineering

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking a QA Coder to join our distributed team and help train AI models by reviewing AI-generated code and providing structured feedback. You will rate model responses, write clear CS questions, and contribute to high-quality data used to improve AI systems.

The role emphasizes strong English communication, meticulous attention to detail, and practical software engineering experience with live production code. Remote collaboration is supported for eligible applicants worldwide.

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