Remote AI Code QA Engineer — Train Models to Improve Code

Outlier

Santiago de Querétaro

À distance

MXN 512 000 - 871 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Free access to leading LLMs
Remote work flexibility

Résumé du poste

Outlier invites experienced software engineers to join a structured remote program that trains AI models to excel in code generation. You will review AI-produced code, rate model responses on accuracy and instruction following, and craft clear CS prompts to push coding capabilities.

Ideal candidates hold a CS degree, have production-code experience, and communicate fluently in English. This is a remote, international program with opportunities for incentives and ongoing skill development.

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.

Responsabilités

  • 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.

Connaissances

English fluency
Attention to detail
Software engineering experience

Formation

Bachelor’s degree in Computer Science

Description du poste

Outlier invites experienced software engineers to join a structured remote program that trains AI models to excel in code generation. You will review AI-produced code, rate model responses on accuracy and instruction following, and craft clear CS prompts to push coding capabilities.

Ideal candidates hold a CS degree, have production-code experience, and communicate fluently in English. This is a remote, international program with opportunities for incentives and ongoing skill development.

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