AI Testing Engineer(Freelance / Remote)

About BeGig

BeGig is the leading tech freelancing marketplace, connecting innovative early-stage, non-tech founders with top-tier freelance talent. By joining BeGig, you’re not just taking on one project — you’re joining a platform that will continuously match you with high-impact opportunities tailored to your expertise.

Your Opportunity

AI Testing Engineer

Role Overview

As an AI Testing Engineer, you will:

• Develop and execute test plans for machine learning models and AI workflows.
• Evaluate LLM/model outputs for quality, bias, and edge cases.
• Collaborate with engineering teams to automate testing pipelines and ensure release readiness.

What You’ll Do

• Design unit, integration, and regression tests for ML models and LLM applications.
• Build automated evaluation frameworks for accuracy, latency, and behavior.
• Create synthetic datasets and edge cases to stress-test AI systems.
• Conduct human-in-the-loop evaluations for prompts and agent workflows.
• Track model versioning, performance metrics, and testing coverage.

Technical Requirements

• 2+ years of experience in QA, ML testing, or AI/ML development.
• Proficiency in

  Python

  and testing tools like

  pytest, unittest

  , or custom scripts.
• Hands-on experience testing LLMs or generative models (OpenAI, Claude, etc.).
• Familiarity with

  LangChain

  , RAG workflows, or agent systems (plus).
• Bonus: Experience with

  CI/CD pipelines

  ,

  MLflow

  , or other MLOps tools.

What We’re Looking For

• Detail-oriented testers who understand AI system behavior and risks.
• Freelancers who can work independently and collaborate with dev/product teams.
• Passion for ensuring AI applications are safe, reliable, and production-ready.

Why Join Us

• Contribute to building trustworthy AI systems used by real-world businesses.
• Flexible, fully remote freelance role.
• Be the first to access future AI QA, model evaluation, and test automation projects.
• Join a fast-growing community shaping the future of AI safety and reliability.

Ready to put AI systems to the test?