AI Data Lead

About The Role

We’re looking for a 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.