Remote LLM QA Engineer: Train AI Code

Outlier

León

A distancia

MXN 512.000 - 871.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Outlier offers a fully remote QA coder program for software engineers who want to help train AI models. You’ll work freelance from anywhere in Latin America, reviewing AI-generated code, flagging issues, and rating model responses to improve accuracy and quality.

Responsibilities include writing clear computer science prompts and contributing to live production code discussions. Ideal candidates hold a CS degree, have production coding experience, and communicate fluently in English.

Formación

  • Completed a Bachelor's degree or higher 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.

Responsabilidades

  • 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.

Conocimientos

Live production codebase experience
Written English fluency
Spoken English fluency
Attention to detail

Educación

Bachelor's degree in Computer Science

Descripción del empleo

Outlier offers a fully remote QA coder program for software engineers who want to help train AI models. You’ll work freelance from anywhere in Latin America, reviewing AI-generated code, flagging issues, and rating model responses to improve accuracy and quality.

Responsibilities include writing clear computer science prompts and contributing to live production code discussions. Ideal candidates hold a CS degree, have production coding experience, and communicate fluently in English.

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