AI QA Trainer

Agency

WorldwideFully remoteContractMid Level, SeniorInformation Technology
USD 6–65 an hourPosted 3mo ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 3 months ago · apply link checked 8 hours ago

About the role

Responsibilities

  • Converse with models 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, and quality dashboarding

Requirements

  • Experience in model evaluation, LLM safety, and prompt robustness
  • Expertise in hallucination detection and factual consistency
  • Knowledge of prompt-injection and jailbreak resistance
  • Ability to perform bias/fairness audits and grounding verification
  • Proficiency in test automation using Python or SQL
  • Strong metacognitive communication skills for high-signal bug reporting

Preferred Qualifications

  • Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Computational Linguistics, or Statistics
  • Experience shipping QA for ML/AI systems
  • Experience with test automation frameworks like PyTest
  • Hands-on work with LLM eval tooling such as OpenAI Evals, RAG evaluators, or W&B

About the Company

We are seeking AI QA experts to help harden model reasoning and reliability, ensuring large-scale language models evolve into enterprise-grade, safe, and reliable platforms.

What we look for

  • LLM evaluation expertise
  • LLM safety and red-teaming
  • Python or SQL proficiency
  • Data quality assurance
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