OpenClaw Python Engineer
Core
Providing high-quality human feedback to train advanced AI agents and refine their multi-step autonomous behavior in real-world workflows.
Role type
AI agent training engineer (human feedback)
Builds
Proactive, multi-step autonomous agents that design, coordinate, and optimize complex architectural workflows
Domain
Artificial Intelligence / Large Language Models / Agent Orchestration
Deliverable
production ML models
Required skills
backend engineering, AI automation, complex systems integration, Python, JavaScript, Go, Java, SQL, multi-step system interactions, system behavior analysis, privacy leak identification, authority escalation detection, indirect prompt injection detection
Preferred skills
designing multi-stage coordination workflows, integrating agents with live tools (Supabase, Gmail, APIs), implementing persistent state and session tracking using MEMORY.md
Technologies
Java, JavaScript, Python, SQL
Responsibilities
Train advanced AI agents by providing high-quality human feedback, assess and refine multi-step autonomous agent behavior across varied scenarios, review system outputs and provide clear technical observations, identify flaws, edge cases, and failure modes in agent interactions and tool usage
Seniority
Mid-level, hands-on IC