RLHF Python Code Review and Correction

About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. Creating an OpenTrain account is free; contributors discover projects, build a profile, and apply quickly to flexible, remote work.

OpenTrain AI is the hiring organization for this project. We connect you to hands-on tasks that directly improve how large language models write and understand code.

Why AI Training Matters

AI training (data labeling and human feedback) is the human side of building machine intelligence. People prepare and correct examples that models learn from — everything from cleaning up text to reviewing code — and this work controls how models behave in the real world.

These roles are often remote, flexible, and accessible: many projects need only attention to detail and subject-matter familiarity rather than formal experience. Contributors get to influence cutting-edge AI tools used by developers worldwide.

The Role — RLHF Python Code Review

This project collects Reinforcement Learning from Human Feedback (RLHF) data to improve Python code generation. As a contractor, you will review, correct, and optimize auto-generated Python scripts, functions, and algorithms so models learn better coding standards and problem-solving strategies.

Tasks are focused on code quality, correctness, efficiency, and clarity; your feedback becomes labeled training data used to improve future LLM code outputs.

What You'll Do

• Read and evaluate auto-generated Python code for correctness and clarity.
• Fix bugs, improve logic, and refactor code to follow clearer, more efficient patterns.
• Add or suggest test cases, edge-case handling, and clearer variable names or comments when appropriate.
• Mark errors, rank alternative outputs, and provide concise corrective feedback usable as training labels.
• Follow labeling guidelines in the provided tool to ensure consistent, high-quality annotations.

Requirements

Experience level: Entry level. This role fits contributors who are comfortable reading and editing Python code and who want to learn how human feedback shapes model output.

• Subject matter: Python code — familiarity with Python syntax, common libraries, and basic algorithms is expected.
• Attention to detail and ability to give clear, actionable corrections and explanations.
• No additional formal qualifications are required; specific project guidelines will be provided.

Compensation & Logistics

Pay: $50 USD per hour (paid per hour). Employment type: contractor. Work is 100% remote and open worldwide unless otherwise restricted.

Labeling software: SCALE_AI will be used for annotation and feedback submission. Time commitment is task-based and typically flexible — many contributors choose hours that fit their schedule.

• Data type: computer code / programming; label type: computer programming / coding.
• All work is collected to train LLMs for better Python code generation and quality.

How to Apply

Create a free OpenTrain account, complete your profile, and apply to this contract role. Successful applicants will receive project-specific instructions and access to the SCALE_AI labeling environment.

We provide clear guidelines and examples so entry-level contributors can start contributing quickly and build experience in RLHF for code generation.