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Graduate Level Expert AI Data Trainer (English Speaking)
Invisible Expert Marketplace Dubai , UAE

Invisible Expert Marketplace is seeking a Graduate Level Expert AI Data Trainer to join a cutting-edge team powering the next generation of AI language models. This role focuses on training AI models to enhance their reasoning, logic, and creativity in domain-specific subjects. As an Expert AI Data Trainer, you will create and solve domain-related problems, design evaluation rubrics, grade model outputs, and coach AI models to self-evaluate and improve. You will collaborate closely with expert trainers, quality analysts, and AI researchers to shape how AI understands complex topics.

Key Responsibilities:

  • Author and solve problems specific to your area of expertise

  • Develop rubrics defining ideal answers

  • Evaluate and grade AI model outputs, identifying logical, ethical, and clarity gaps

  • Guide AI models to reason step-by-step and improve creativity

  • Participate in quality and ethics reviews, flagging biases or inaccuracies

  • Collaborate through workshops, sync meetings, and instruction refinement

Skills Required:

  • Graduate degree (Master’s or PhD) in any domain

  • Native-level proficiency in Mandarin Chinese (essential)

  • Strong critical thinking and problem-deconstruction skills

  • Excellent communication skills with ability to explain complex errors clearly

  • Detail-oriented with a strong ethical mindset

  • Ability to multitask and switch between detailed reviews and broader tasks

  • Experience in peer-reviewed research, university teaching, or specialized industry experience (preferred)

Company Details:
Invisible Expert Marketplace is a forward-thinking organization committed to advancing AI through expert-driven data training. The company supports remote work and values professionals who are collaborative, ethical, and passionate about leveraging AI to democratize education and scientific discovery.

Compensation:
$15 – $30 USD per hour

Employment Type: Contract
Workplace Type: Remote
Seniority Level: Mid-Senior Level

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