Code Expert Evaluator for AI Training (Python)

G2i Inc.; Richmond; Remote; CAD 60,000 - 80,000; Full time

Job summary

A remote AI training company is seeking professionals to review AI-generated code responses, ensure technical accuracy, and provide feedback. The candidate must have a degree in Computer Science and expertise in Python, alongside skills in fact-checking and analytical thinking. Additional programming language knowledge is a plus. This role offers flexible work arrangements in Richmond, Nova Scotia.

Benefits

Flexible work hours

Weekly compensation upon approval

Qualifications

• Expert in Python with knowledge of algorithms and debugging.
• Strong analytical skills and structured thinking.
• Ability to explain complex programming concepts.

Responsibilities

• Review AI-generated responses for accuracy.
• Provide expert feedback for AI training.
• Ensure code outputs are functional and efficient.

Skills

Python

Fact-checking

Analytical skills

Communication

Education

BS, MS, or PhD in Computer Science

Tools

Large language models (LLMs)

C#

Java

SQL

C++

TypeScript

PHP

C

Go

Bash

PowerShell

Rust

R

Job description

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.