LLM QA Engineer — Remote, Flexible Work, Up to $34/hr

Outlier

Rosario

Remote

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

Part time

3 days ago
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Benefits offered by this job

Free access to leading LLMs
Flexible remote work

Job summary

Outlier is seeking QA Coders to join a remote, flexible organization that pays per hour for auditing AI-generated code and rating model responses. earn up to $34 USD per hour, with potential extra incentives based on project performance and surge pricing.

You will work with experienced software engineers and contribute to live production codebases while gaining hands-on AI development exposure. Qualified applicants hold a Bachelor's degree in Computer Science, have production code experience,

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

Written English
Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking QA Coders to join a remote, flexible organization that pays per hour for auditing AI-generated code and rating model responses. earn up to $34 USD per hour, with potential extra incentives based on project performance and surge pricing.

You will work with experienced software engineers and contribute to live production codebases while gaining hands-on AI development exposure. Qualified applicants hold a Bachelor's degree in Computer Science, have production code experience,

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