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Code Expert Evaluator for AI Training (Python)

G2i Inc.

Campinas

Teletrabalho

BRL 80.000 - 120.000

Tempo parcial

Ontem
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Resumo da oferta

A technology company in Brazil is seeking experts to review AI-generated responses and provide feedback to train AI systems. Candidates should hold at least a BS in Computer Science, be proficient in Python, and have strong analytical skills. Experience with large language models and programming concepts is crucial. This flexible, remote role offers competitive compensation based on experience and education.

Serviços

Flexible work hours
Weekly payment upon approval

Qualificações

  • Expert in Python with strong debugging practices.
  • Fluent in English with excellent writing skills.
  • Significant experience using large language models.

Responsabilidades

  • Review AI-generated responses for technical accuracy.
  • Evaluate coding practices and provide expert feedback.
  • Train AI systems to write better code.

Conhecimentos

Python
Fact-checking
Analytical skills
Structured thinking
Expert-level English

Formação académica

BS, MS, or PhD in Computer Science

Ferramentas

Large language models (LLMs)
Descrição da oferta de emprego
About the Company

G2i connects subject‑matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact‑checking, and content review. We partner with leading AI teams, and all contributions are paid weekly upon approval, ensuring consistent, reliable compensation.

Project info

This project involves reviewing AI‑generated responses, evaluating technical accuracy and best practices, and providing expert feedback that trains AI systems to write better code. You'll work with various programming languages and coding challenges, ensuring AI outputs are functional, efficient, and follow industry standards.

Compensation

Compensation is competitive and varies based on education level, institution, and prior experience.

Hiring Profile
  • BS, MS, or PhD with a significant focus on Computer Science (Required).
  • Expert in Python, with a firm grasp of algorithms, data structures, and debugging practices.
  • Expert-level English proficiency with excellent writing skills.
  • Expert at fact‑checking information using public sources across multiple domains.
  • Significant experience using large language models (LLMs).
  • Strong analytical and structured thinking skills.
  • Ability to explain complex programming concepts clearly and accurately.
  • Prior experience with RLHF annotation (preferred).
  • Prior Software Engineering work experience (strongly preferred).
  • Expertise in additional programming languages (nice to have): C#, Java, SQL, C++, TypeScript, PHP, C, Go, Bash, PowerShell, Rust, R.
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