5 hours ago
Remote, WorldwideEntry Level / Mid Level
Base Salary
$73k - $146k/yr
Responsibilities
- Build reinforcement-learning environments in Python and Docker for agents to take actions and receive feedback.
- Convert ERP, CRM, and spreadsheet workflows into trainable scenarios.
- Write tasks, connect tools and APIs, and create systems that verify agent actions.
- Create and grade agent demonstrations, including screen recordings of task execution.
- Collect execution traces, evaluate agent trajectories, and investigate failures.
Requirements
- Zero to five years of experience in software engineering, QA automation, machine learning or reinforcement-learning engineering, operations analysis, or substantial business-software use.
- Experience writing Python or building automations or reports in Excel, Salesforce, or an ERP system.
- Experience testing, scripting, or automating multi-step software tasks, including test cases, API calls, or UI steps.
- Familiarity with Docker, APIs, Gymnasium, or OpenAI Gym-style environments is useful.
- Experience with pytest, Playwright, Selenium, business-workflow documentation, or screen-based tasks is useful.
- Strong software fundamentals or hands-on knowledge of business workflows; prior AI data experience is not required.
Benefits
- Paid project-based talent pool with payment based on hours worked.
- Remote work arrangement.
- Projects typically last from one week to several months.