Remote JavaScript Engineer — AI Code Review & QA

Outlier

Caracas

Remoto

VES 34.287.000 - 48.833.000

Tempo pieno

5 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Free access to leading LLMs
Flexible remote work
Competitive hourly rate up to $34 USD/
Additional incentive payments

Descrizione del lavoro

Outlier is hiring a QA Coder to audit AI-generated code and rate model responses. You will develop clear prompts to challenge AI models and contribute to improving code generation quality. Experience with live production code and strong English communication are essential.

Join a distributed team, with flexible remote work and competitive hourly pay. This freelance 1099 role offers incentives based on project needs and performance.

Competenze

  • Completed a Bachelor's degree or higher in Computer Science.
  • 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.

Mansioni

  • 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.
  • Write computer science questions: develop clear prompts that challenge AI models and push coding ability.

Conoscenze

English fluency (written and spoken)
Attention to detail

Formazione

Bachelor's degree in Computer Science

Descrizione del lavoro

Outlier is hiring a QA Coder to audit AI-generated code and rate model responses. You will develop clear prompts to challenge AI models and contribute to improving code generation quality. Experience with live production code and strong English communication are essential.

Join a distributed team, with flexible remote work and competitive hourly pay. This freelance 1099 role offers incentives based on project needs and performance.

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