**Project/Opportunity Details**:
A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch).
This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment.
A contributor's job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in the golden patch and notes on GitHub.
**Accepted Locations**
**Loom Video**
We have created an Loom video that we highly recommend you watch!
Check it out here: Loom Video
**Overview**
Join our expert annotation team to create training data for the world's most advanced AI models.
No previous AI experience is necessary.
You'll get your foot in the door with one of the most prominent players in the AI/LLM space tod...