MLOps Engineer (Remote)

Role Overview

Help design and evaluate autonomous AI agents across multiple LLMs, spanning domains such as health, education, and daily life. Provide expert human feedback to train and improve agentic AI systems, including complex multi-step architectural workflows.

Responsibilities

• AI Agent Evaluation
  • Write evaluation rubrics with objective pass/fail criteria
  • Debug agent traces to identify recurring failure patterns
  • Stress test agents against edge cases, prompt injection, and tool misuse
• Technical Assessment
  • 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, upload a resume/ID, and complete an onboarding assessment
  • Receive flexible task assignments

Requirements

• Experience in backend engineering, AI automation, or complex systems integration
• Ability to build and maintain production-grade software with modular separation (e.g., separate services for parsing, logic, and reporting)
• Strong command of at least two major languages (e.g., Python, JavaScript, Go, Java)
• Experience working with SQL databases
• Practical experience building for live, non-mocked environments and handling multi-turn interactions

Nice to Have

• Experience integrating agents with live tools via APIs (e.g., Supabase, Gmail)
• Familiarity with persistent state and session tracking patterns
• Ability to identify privacy leaks, authority escalation, or indirect prompt injection vulnerabilities

Compensation

• Hourly: USD $30–$50, depending on experience and task complexity
• Weekly payments via supported payout platforms (e.g., PayPal or AirTM)
• Full compensation details provided before task acceptance