Code Expert Evaluator for AI Training (Python)

G2i Inc.; Porto Alegre; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A remote AI training company is seeking experts to review AI-generated responses and evaluate their technical accuracy. Applicants must have a BS, MS, or PhD in Computer Science and be experts in Python. The role requires strong analytical skills and the ability to explain programming concepts clearly. Competitive compensation is offered based on education and experience.

Qualificações

• Expert in Python with knowledge of algorithms and debugging.
• Ability to explain complex programming concepts clearly.
• Significant experience in fact-checking and using LLMs.

Responsabilidades

• Review AI-generated responses for accuracy and best practices.
• Provide expert feedback to improve AI code generation.

Conhecimentos

Python

Expert-level English proficiency

Analytical skills

Fact-checking

Experience with LLMs

Formação académica

BS, MS, or PhD in Computer Science

Ferramentas

C#

Java

SQL

C++

TypeScript

PHP

C

Go

Bash

PowerShell

Rust

R

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.