Role Overview

Explore building agents using OpenClaw across multiple AI models and design rubrics to evaluate their outcomes in various fields such as health and education. All coding work involved.

Shape the Future

Contribute to the development of autonomous AI agents by providing expert human feedback to leading AI organisations. Engage in training Large Language Models (LLMs) for complex workflows with flexible remote work arrangements, no minimum hours, and weekly payments.

Key Responsibilities

AI Agent Testing

• Write evaluation rubrics with objective pass/fail criteria
• Debug agent traces to identify failure patterns
• Stress test agents in multi-step, real-world scenarios

Technical Evaluation

• Assess production-grade modular software architecture
• Analyze multi-turn system interactions and behaviors
• Provide high-density technical feedback for LLM training

Project Workflow

• Create an account and upload a resume/ID
• Complete onboarding assessment
• Start earning through flexible task assignments

Qualifications

• 3+ years of experience in backend engineering, AI automation, or complex systems integration.
• Proven ability to build and maintain production-grade software with modular separation.
• Strong command of at least two major languages (e.g., Python, JavaScript) and experience with SQL databases.
• Practical experience building for live, non-mocked environments.

Compensation

• Hourly compensation ranges from USD $30–$50, depending on experience and task complexity.
• Payments are issued weekly via platforms like PayPal.
• Full compensation details are provided prior to task acceptance.

Equal Opportunity Statement

Selection decisions are based solely on skills and qualifications. We are committed to inclusive practices and welcome all qualified applicants without regard to protected characteristics.