Tech Stack
Job Description, Responsibilities & Requirements
AI QA Trainer - Freelance Project
About the Position
Are you an AI QA expert eager to shape the future of AI? Large-scale language models are evolving from clever chatbots into enterprise-grade platforms. With rigorous evaluation data, tomorrow’s AI can democratize world-class education, keep pace with cutting-edge research, and streamline workflows for teams everywhere. That quality begins with you-we need your expertise to harden model reasoning and reliability.
We’re looking for AI QA trainers who live and breathe model evaluation, LLM safety, prompt robustness, data quality assurance, multilingual and domain-specific testing, grounding verification, and compliance/readiness checks. You’ll challenge advanced language models on tasks like hallucination detection, factual consistency, prompt-injection and jailbreak resistance, bias/fairness audits, chain-of-reasoning reliability, tool-use correctness, retrieval-augmentation fidelity, and end-to-end workflow validation-documenting every failure mode so we can raise the bar.
Responsibilities
- Converse with the model on real-world scenarios and evaluation prompts
- Verify factual accuracy and logical soundness
- Design and run test plans and regression suites
- Build clear rubrics and pass/fail criteria
- Capture reproducible error traces with root-cause hypotheses
- Suggest improvements to prompt engineering, guardrails, and evaluation metrics
- Partner on adversarial red-teaming, automation (Python/SQL), and dashboarding
Requirements
- Bachelor’s, master’s, or PhD in computer science, data science, computational linguistics, statistics, or a related field
- Shipped QA for ML/AI systems
- Safety/red-team experience
- Test automation frameworks (e.g., PyTest)
- Hands-on work with LLM eval tooling (e.g., OpenAI Evals, RAG evaluators, W&B)
- Skills that stand out include:
- Evaluation rubric design
- Adversarial testing/red-teaming
- Regression testing at scale
- Bias/fairness auditing
- Grounding verification
- Prompt and system-prompt engineering
- Test automation (Python/SQL)
- High-signal bug reporting
- Clear, metacognitive communication-“showing your work”-is essential
We Offer
- Pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location
- As a contractor, you’ll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply
Employment Details
- Employment type: Contract
- Workplace type: Remote
- Seniority level: Mid-Senior Level
Apply for this Job
Ready to turn your QA expertise into the quality backbone for tomorrow’s AI? Apply today and start teaching the model that will teach the world.