AI/ML Software Engineer (RL Environments) (Contract)
Remote contractor role designing and building reinforcement-learning training environments for LLM agents: creating diverse, challenging ML tasks to test and improve language models and iterating quickly on customer feedback. Core requirements are strong Python and hands-on ML/LLM experience.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- Strong machine learning background (coursework, work experience, or personal projects)
- Python fluency — writes clean, efficient Python code regularly
- Heavy daily LLM user who understands current model capabilities and failure modes
- Self-directed and creative — can generate novel ML task ideas without constant guidance
- High responsibility and integrity — consistent quality work and deadlines
- Minimum 3 hours of availability overlap with PST business hours (9am-5pm)
- 40 hours per week time commitment
Full description
About the Role
We're seeking experienced Machine Learning Engineers and Software Engineers with ML experience to design and build high-quality RL training environments for LLM agents. As an RL Environment Engineer, you'll create diverse machine learning tasks that challenge and improve language models, working with minimal supervision to deliver consistent, quality outputs.
What You'll Do
- Design and build tasks for machine learning domains that target specific language models and difficulty distributions
- Iterate rapidly on task designs based on customer feedback, with 24-hour turnaround times
- Create diverse, challenging scenarios that test language model capabilities and expose their limitations
- Hit the ground running with minimal onboarding time
What We're Looking For
- Strong machine learning background through coursework, previous work experience, or personal projects
- Python fluency: you write clean, efficient Python code regularly
- Heavy LLM user who understands current model capabilities and failure modes through daily hands-on experience
- Self-directed and creative. You can generate novel ML task ideas in your domain without constant guidance
- High responsibility and integrity. You deliver quality work consistently and meet deadlines
- Availability overlap with PST 9am-5pm (minimum 3 hours required)
Work Details
- Location: Remote
- Type: Contractor
Time Commitment: 40 hours a week. Must have at least 3 hours of overlap with PST business hours (9am-5pm)
Selection Process:
- Screening
- Hacker rank assessment
- 1 Week paid task
- Full time
The employer sponsors a work visa for this role.