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AI QA Trainer – LLM Evaluation Job Opening In Klang Municipal Council – Now Hiring Invisible Expert Marketplace


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

Required Skill Profession

Other


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Unlock Your AI QA Potential: Insight & Career Growth Guide


Real-time AI QA Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AI QA in Klang Municipal Council, Malaysia, highlighting market share and opportunities for professionals in AI QA roles.

6199 Jobs in Malaysia
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561 Jobs in Klang Municipal Council
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5. Accountabipty

6. Respect for human rights

7. Obeying Malaysia laws and regulations

What Is the Average Salary Range for AI QA Trainer – LLM Evaluation Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Klang Municipal Council. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for AI QA Trainer – LLM Evaluation typically include Other and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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