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Software Engineer for Code Evaluation for AI Training (Python)
Job summary
A remote AI training company seeks experts to review AI-generated responses for technical accuracy. Ideal candidates will hold a Computer Science degree and have strong experience in Python, along with excellent analytical skills. Responsibilities include evaluating various programming languages and providing feedback to enhance AI systems. Exceptional English writing proficiency is a must, as is experience with large language models and prior software engineering work.
Qualifications
- Significant experience using large language models (LLMs).
- Proficient with algorithms, data structures, and debugging practices.
- Prior experience with RLHF annotation (preferred).
- Prior Software Engineering work experience is strongly preferred.
Responsibilities
- Review and evaluate AI-generated responses for technical accuracy.
- Provide expert feedback to improve AI systems.
- Work with various programming languages and coding challenges.
Skills
Education
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.
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 is competitive and varies based on education level, institution, and prior experience.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.