AI/ML Software Engineer (RL Environments) (Contract)

Careerflow.ai; United States; Remote; USD 83,000 - 131,000; Part time

Job summary

Careerflow.ai is seeking experienced ML/Software Engineers to design and build RL training environments for LLM agents, delivering diverse tasks with minimal supervision.

This remote contractor role requires 40 hours per week and overlap with PST hours. Strong Python skills, deep ML background, and hands-on experience with large language models are essential for delivering high-quality outputs and reliable task generation.

Qualifications

• Strong ML background demonstrated by coursework, prior work, or personal projects.
• Proficient Python coding with clean, efficient style.
• Extensive daily use of LLMs and understanding model capabilities and failure modes.
• Self-directed with a track record of generating novel ML task ideas.
• High responsibility and integrity with consistent delivery and deadlines.

Responsibilities

• Design and build tasks for ML domains targeting language models and specific 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 limitations.
• Hit the ground running with minimal onboarding and rapid contribution.

Skills

Strong ML background

Python fluency

Heavy LLM user

Self-directed and creative

High responsibility and integrity

PST overlap availability

Job 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:

1. Screening

2. Hacker rank assessment

3. 1 Week paid task

4. Full time