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AI Data Lead

AI Data Lead

YTL AI LabsKuala Lumpur, Kuala Lumpur, Malaysia
15 hours ago
Job description

About Us

At YTL AI Labs, we build sovereign AI models that perform on par with the world's best—while staying grounded in local needs, values, and context. Our flagship model, Ilmu, is designed to be culturally aware, contextually intelligent, and fluent in Bahasa Melayu, delivering cutting-edge solutions that empower Malaysian businesses with intelligence that truly understands the market and the people they serve. As pioneers of sovereign AI, we believe every nation should have the power to shape its own intelligence—guided by its people, priorities, and principles.

About the Role

We're looking for an

AI

Data Lead

to shape and scale the way we design, curate, and govern the datasets that power our AI models. In this role, you'll lead cross-functional efforts that ensure our data is high-quality, contextually accurate, ethically sound, and aligned with real-world use.

What You'll Do :

  • Define standards for data sourcing, curation, and annotation for training AI models.
  • Translate domain and business requirements into structured, scalable datasets.
  • Ensure datasets are high-quality, representative, and model-ready
  • Establish quality control protocols and implement validation frameworks
  • Provide guidance and feedback to data annotators to maintain high labeling consistency and accuracy.
  • Collaborate closely with ML engineers, research scientists, and product teams to align data needs with model objectives.
  • Ensure data handling complies with regulations and internal ethical AI guidelines.
  • Lead initiatives to identify and mitigate bias within training datasets.
  • Manage a team of data analysts, annotation specialists, and / or data engineers.
  • Communicate data insights clearly to stakeholders across teams.

What We're Looking For

  • Bachelor's degree or equivalent practical experience in Linguistics, Information Science, Social Science, Library Science, or a related discipline.
  • 3-5 years hands-on experience in data strategy, annotation management, or data quality assurance roles.
  • Proven experience leading teams or significant projects with timely, measurable results.
  • Familiarity with data governance, quality assurance processes, and cross-functional project management.
  • If you're looking to do meaningful work with people who care about how we get there — we'd love to meet you. Apply now

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    Data • Kuala Lumpur, Kuala Lumpur, Malaysia

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