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AI Trainer - Python Engineer, Agent Evaluation & Tooling

AI Trainer - Python Engineer, Agent Evaluation & Tooling

4 - 7 years

|

6 - 9 Lacs

Posted:1 day ago| Platform:

Apply

Skills Required

backend penetration web technologies linux risk assessment javascript http mcp python testing

Work Mode

Work from Office

Job Type

Full Time

Job Description

Calling all security researchers, engineers, and penetration testers with a strong foundation in problem-solving, offensive security, and AI-related risk assessment.

We re looking for someone who can bring a hands-on approach to technical challenges, whether breaking into systems to expose weaknesses or building secure tools and processes. We value contributors with a passion for continuous learning, experimentation, and adaptability.

What you ll be doing:

Developing and maintaining MCP-compatible evaluation servers
Implementing logic to check agent actions against scenario definitions
Creating or extending tools that writers and QAs use to test agents
Working closely with infrastructure engineers to ensure compatibility
Occasionally helping with test writing or debug sessions when needed

4+ years of Python development experience
, ideally in backend or tools
Solid experience building APIs
, testing frameworks, or protocol-based interfaces
Understanding of Docker, Linux CLI, and HTTP-based communication
Ability to integrate new tools into existing infrastructures
Familiarity with how LLM agents are prompted, executed, and evaluated
Clear documentation and communication skills - you ll work with QA and writers

We also value applicants who have:

Experience with Model Context Protocol (MCP) or similar structured agent-server interfaces
Knowledge of FastAPI or similar async web frameworks
Experience working with LLM logs, scoring functions, or sandbox environments
Ability to support dev environments (devcontainers, CI configs, linters)
JS experience

Get paid for your expertise, with
rates that can go up to $15/hour
depending on your skills, experience, and project needs.
Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments.
Participate in an advanced AI project and gain valuable experience to enhance your portfolio.
Influence how future AI models understand and communicate in your field of expertise.

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