Remote LLM Trainer – AI Agent Evaluation

About the role

We are looking for a Remote LLM Trainer to help design, evaluate, and improve autonomous AI agents across diverse real‑world domains. You will work with leading AI organisations, providing high‑quality human feedback to train large language models for complex, multi‑step workflows.

Key responsibilities

• Write clear evaluation rubrics with objective pass/fail criteria for AI agents.
• Debug agent execution traces to uncover failure patterns.
• Stress‑test agents against edge cases, prompt injection, and tool misuse.
• Assess production‑grade modular software architectures and multi‑turn system interactions.
• Deliver dense technical feedback to guide LLM training.
• Complete onboarding tasks, upload required documents, and start earning through flexible assignments.

Required profile

• Experience in backend engineering, AI automation, or complex systems integration.
• Proven ability to build and maintain production‑grade software with modular separation of services.
• Strong command of at least two major programming languages (e.g., Python, JavaScript, Go, Java).
• Hands‑on experience with SQL databases and live, non‑mocked environments.
• Experience handling multi‑turn system interactions.

Required skills

• Python
• JavaScript
• Go
• Java
• SQL
• Backend engineering
• Modular software architecture
• API integration (e.g., Supabase, Gmail)
• AI automation

What we offer

• Hourly compensation ranging from $30 to $50, based on experience and task complexity.
• Weekly payments via supported payout platforms.
• Fully remote work across Finland, France, Italy, and Norway.