Alignerr RL Task Implementation

**Project Title:** Create an Alignerr RL Task from Template Repository

I'm looking for an experienced Python/AI developer who has worked with Docker, GitHub, and machine learning environments.

### Project Requirements

* Set up the provided Alignerr RL task template repository.
* Create a new task under the `problems/` directory using the appropriate starter template.
* Configure task metadata and Docker environment.
* Implement `compute_score.py` for deterministic scoring/rubric.
* Create the required solution and task files.
* Validate the task using the provided harness.
* Generate the required `build_proof.json` and other validation artifacts.
* Ensure the project passes all local validation checks and is ready for GitHub PR submission.

### Skills Required

* Python
* Docker
* Git/GitHub
* Machine Learning / AI
* Ability to understand and follow technical documentation

I will provide the complete repository and documentation. I need someone who can handle the setup, implementation, validation, and deliver a fully working task ready for submission.