Expert Talent Pool, Agents and RL (Associate)

Responsibilities

• Build reinforcement learning environments in Python and Docker
• Turn business workflows such as ERP, CRM and spreadsheet operations into trainable scenarios
• Write tasks, connect tools and REST APIs, and create systems to verify agent actions
• Create and grade agent demonstrations, including screen recordings
• Collect execution traces, evaluate agent trajectories, and investigate failures

Requirements

• Zero to five years in software engineering, QA automation, ML/RL engineering, operations analysis, or heavy business software use
• Python or automation/reporting experience in Excel, Salesforce, or an ERP system
• Experience testing, scripting, or automating multi-step software tasks

Preferred Qualifications

• Familiarity with Docker, REST APIs, or Gymnasium/OpenAI Gym-style environments
• Experience with pytest, Playwright, or Selenium
• Documenting business workflows and screen-based tasks

About the Company

• Paid talent pool supporting projects in AI agents and reinforcement learning.