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OpenClaw Python Engineer

  • Greater Montreal Metropolitan Area, QC, Canada

Salary: $90,000 - 130,000 per year Requirements: · Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
Salary: $90,000 - 130,000 per year Requirements:
Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Salary: $90,000 - 130,000 per year Requirements:

  • We bring at least 2 years of experience in backend engineering, AI automation, or complex systems integration.
  • We have a proven track record of building and supporting production-ready software with clean modular architecture, such as separate services for parsing, processing, and reporting.
  • We are proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and we work confidently with SQL databases.
  • We have practical experience developing for live, real-world environments and managing multi-step system interactions.
  • We demonstrate exceptional attention to detail and can deliver precise, high-value technical feedback on intricate system behavior.
  • It is a plus if we have experience designing multi-stage coordination workflows where information gathering leads to thoughtful output.
  • It is an advantage if we have integrated agents with live tools such as Supabase, Gmail, and other APIs to solve practical problems.
  • It is helpful if we are comfortable implementing persistent state and session tracking using MEMORY.md to monitor agent progress.
  • It is a bonus if we can identify subtle issues such as privacy leaks, authority escalation, or indirect prompt injection.

Responsibilities:

  • We help train advanced AI agents by providing high-quality human feedback.
  • We contribute to projects that teach large language models how to plan, coordinate, and optimize complex real-world workflows.
  • We assess and refine multi-step autonomous agent behavior across varied scenarios.
  • We support the development of proactive systems that can operate through structured, real-world architectural tasks.
  • We review system outputs carefully and provide clear, detailed technical observations.
  • We help identify flaws, edge cases, and failure modes in agent interactions and tool usage.

Technologies:

  • AI
  • Backend
  • Support
  • Java
  • JavaScript
  • Python
  • SQL

More

We are Outlier, and we work with some of the worlds most innovative companies to improve AI agents through human feedback. Our focus is on training large language models to become proactive, multi-step agents that can design, coordinate, and optimize complex architectural workflows in real-world settings. We are looking for experienced builders and orchestration-minded professionals who want to help shape the future of autonomous systems like OpenClaw.

last updated 40 week of 2026
More about this job

Responsibilities

Provide high-quality human feedback to train AI agents to plan, coordinate, and optimize complex real-world workflows. Assess autonomous agent behavior, review system outputs, and identify flaws, edge cases, and failures in agent interactions and tool usage.

Requirements

Requires at least two years of experience in backend engineering, AI automation, or complex systems integration, along with production software experience and proficiency in at least two major programming languages and SQL. Experience with multi-stage workflows, live-tool integrations, persistent agent state, and identifying privacy, authority, or prompt-injection risks is advantageous.

Skills

  • Backend Engineering
  • AI Automation
  • Systems Integration
  • Python
  • JavaScript
  • Go
  • Java
  • SQL
  • Modular Architecture
  • Agent Orchestration
  • Workflow Coordination
  • API Integration
  • Persistent State Management
  • Session Tracking
  • Privacy Analysis
  • Prompt Injection Detection

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Engineering
  • Data & Analytics

Keywords

  • AI Agents
  • Large Language Models
  • AI Automation
  • Backend Engineering
  • Systems Integration
  • Python
  • JavaScript
  • Go
  • Java
  • SQL
  • Production-Ready Software
  • Modular Architecture
  • Parsing
  • Processing
  • Reporting
  • Multi-Step Workflows
  • Agent Orchestration
  • Autonomous Systems
  • Human Feedback
  • Supabase
  • Gmail
  • APIs
  • MEMORY.md
  • Persistent State
  • Session Tracking
  • Privacy Leaks
  • Authority Escalation
  • Indirect Prompt Injection
  • Real-World Systems

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