Remote LLM Agent Engineer — Freelance, Up to $50/hr

Outlier; Sardegna; A distancia; EUR 51.000 - 72.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Weekly payments

Payment via ACH/PayPal/AirTM

Flexible schedule

Free AI access (LLMs)

Descripción de la vacante

Outlier is seeking skilled contributors to shape the future of autonomous AI agents. This freelance, remote role offers compensation up to $50/hr and weekly payments. You will collaborate on complex agent orchestration, data parsing, and reporting across live, production-grade environments.

The position emphasizes strict attention to detail and clear technical feedback to improve LLM-driven workflows. Ideal candidates have 2+ years in backend engineering or AI automation, with experience

Formación

• 2+ years of backend engineering, AI automation, or complex systems integration experience.
• Proven ability to build and maintain production-grade software with modular separation.
• Experience building for live, non-mocked environments and handling multi-turn system interactions.
• Attention to detail and ability to provide clear, high-density technical feedback on complex system behaviors.
• Nice to have multi-stage coordination tasks and API/tool integrations (e.g., Supabase, Gmail).

Responsabilidades

• Write Eval Rubrics
• Debug Agent Traces
• Stress Test Agent

Conocimientos

Backend engineering

AI automation

Complex systems integration

Production-grade software

Live environments

Attention to detail

Technical feedback

Multi-stage coordination tasks

APIs integration

Supabase

Gmail

APIs

Memory usage tracking

Privacy leak / prompt injection risk

Herramientas

Supabase

Gmail

APIs

Descripción del empleo

Outlier is seeking skilled contributors to shape the future of autonomous AI agents. This freelance, remote role offers compensation up to $50/hr and weekly payments. You will collaborate on complex agent orchestration, data parsing, and reporting across live, production-grade environments.

The position emphasizes strict attention to detail and clear technical feedback to improve LLM-driven workflows. Ideal candidates have 2+ years in backend engineering or AI automation, with experience