Code Expert Evaluator for AI Training (Python)
Role Overview
This senior-level role involves reviewing AI-generated code responses to evaluate technical accuracy and best practices, providing expert feedback to train AI systems. You'll work independently on various programming languages and coding challenges, ensuring outputs are functional and efficient, with a focus on improving AI coding capabilities. The impact includes directly contributing to the development of better AI models through structured evaluation and feedback.
Perks & Benefits
The job offers fully remote work with flexible hours, likely accommodating various time zones, and provides weekly paid compensation upon approval for reliable income. Career growth opportunities may include re-evaluation for different projects based on performance, and the culture emphasizes collaboration with leading AI teams in a dynamic, tech-focused environment.
Full 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.
Compensation
Hourly rates are personalized based on your experience level, educational background, location, and industry expertise. You’ll see your specific rate in your contract offer before signing. Rates for technical roles can vary significantly based on these factors and can be re-evaluated for different projects based on your performance and experience.
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