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AI QA Trainer – LLM Evaluation

AI QA Trainer – LLM Evaluation

Invisible Expert MarketplaceIskandar Puteri, Johor, Malaysia
7 days ago
Job description

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Role Overview

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.

Responsibilities

  • Converse with models on real-world scenarios and evaluation prompts
  • Verify factual accuracy and logical soundness of responses
  • Design and run test plans and regression suites to identify failure modes
  • Build clear rubrics and pass / fail criteria for evaluation tasks
  • Capture reproducible error traces with root‑cause hypotheses
  • Suggest improvements to prompt engineering, guardrails, and evaluation metrics (precision / recall, faithfulness, toxicity, latency SLOs)
  • Partner on adversarial red‑teaming, automation (Python / SQL), and dashboarding to track quality deltas over time
  • Document every failure mode to raise the bar for model performance
  • Challenge advanced language models on tasks such as 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

Qualifications

  • Bachelor’s, master’s, or PhD in computer science, data science, computational linguistics, statistics, or a related field
  • QA experience for ML / AI systems, safety / red‑team experience
  • Test automation frameworks (e.g., PyTest)
  • Hands‑on work with LLM evaluation tooling such as OpenAI Evals, RAG evaluators, W&B
  • Strong skills in evaluation rubric design, adversarial testing / red‑teaming, regression testing at scale, bias / fairness auditing, grounding verification, prompt and system‑prompt engineering
  • Test automation experience with Python / SQL and high‑signal bug reporting
  • Clear, metacognitive communication—"showing your work"—is essential
  • Compensation & Logistics

    We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. 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 type : Contract

    Workplace type : Remote

    Seniority level : Mid‑Senior Level

    Call to Action

    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.

    #J-18808-Ljbffr

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    Trainer • Iskandar Puteri, Johor, Malaysia

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