Human Feedback-Driven Code Generation for Python

About OpenTrain

OpenTrain is a centralized job board for AI-training and data-labeling work. We gather opportunities from many AI companies and labeling platforms so contributors can discover and apply to projects in one place.

Creating an OpenTrain account is free, and applying to projects typically takes only a few minutes.

About AI Training Work (RLHF for Code)

AI training work provides the human examples that teach models how to behave. Reinforcement Learning with Human Feedback (RLHF) collects developer judgments and corrections so language models generate more accurate, useful code.

In this project you’ll shape how models write Python by reviewing outputs, fixing bugs, and suggesting better implementations—work that directly improves code generation quality and safety.

The Role

Title: Human Feedback-Driven Code Generation for Python. Employer: OpenTrain AI. Employment type: Contractor. This is an entry-level project accepting contributors worldwide.

You will work through the SCALE AI labeling interface to review, correct, optimize, and rate auto-generated Python scripts, functions, and algorithms. The data you provide will be used to train LLMs to produce higher-quality Python code.

• Subject matter: Python code (COMPUTER_CODE_PROGRAMMING).
• Label types: COMPUTER_PROGRAMMING_CODING.
• Labeling platform: SCALE AI.
• Employment type: Contractor (remote, worldwide).
• Pay: $50 USD per hour (PAY_PER_HOUR).
• Experience level: Entry level.

What You'll Do

Perform careful reviews of LLM-generated Python code, identify errors and edge cases, and provide corrected code or improved implementations.

Annotate or rate code quality, explain fixes or suggested changes where requested, and follow provided labeling guidelines to ensure consistent feedback.

• Correct syntax, logic, and formatting issues in Python scripts.
• Optimize functions for clarity, performance, or idiomatic style as instructed.
• Provide concise rationale for corrections when required by the task.
• Mark examples that are unacceptable, unsafe, or out-of-scope per task instructions.

Requirements

This is an entry-level task that does not list formal prerequisites beyond working knowledge of Python. You must follow task instructions and labeling guidelines carefully.

No additional languages, certifications, or prior platform experience are required by the listing; familiarity with Python programming and basic debugging is expected.

• Comfortable reading and editing Python code (functions, scripts, algorithms).
• Attention to detail and ability to explain code changes clearly when prompted.
• Access to a reliable internet connection and a device capable of using SCALE AI's web interface.

Who Should Apply

Apply if you know Python and want a flexible, remote way to earn by improving AI code outputs. This role suits developers, students, or self-taught programmers looking for entry-level RLHF tasks.

Because the project is worldwide and contractor-based, it fits people seeking part-time, location-independent work on short annotation tasks.

• Entry-level Python programmers and hobbyist developers.
• People interested in shaping how AI writes code and in learning RLHF-style labeling.
• Remote workers seeking contractor assignments with clear, task-based work.

How It Works

After applying through OpenTrain you may be invited to join the project on SCALE AI. Tasks are completed in the SCALE AI interface according to provided guidelines; your responses become training data for LLMs.

OpenTrain aggregates the posting and simplifies application — creating an account is free and applications usually take only a few minutes.

• You will be paid per hour at the stated $50 USD/hr rate for approved work.
• Work is assigned and judged according to project guidelines on SCALE AI.
• This is contractor work; manage your own schedule and workload within project rules.

Application Notes

To apply, create or sign into your free OpenTrain account and follow the project application steps. Provide accurate information about your Python experience when prompted.

There are no additional required qualifications listed for this project beyond the ability to work with Python and follow labeling instructions.