Data Set Curator – AI & ML Dataset Management

About the role

We are looking for a Data Set Curator to design, maintain and optimise high‑quality datasets that power AI, machine‑learning and large‑language‑model projects. Working closely with data scientists, AI trainers and engineers, you will ensure that the data used for model training is accurate, diverse and ethically sourced.

Key responsibilities

• Collect, curate and structure datasets from multiple domains for AI/ML training.
• Validate dataset accuracy, completeness and consistency, and resolve duplicates or anomalies.
• Annotate and label data according to project‑specific guidelines using annotation platforms.
• Maintain comprehensive metadata and documentation for each dataset version.
• Collaborate with AI trainers and data engineers to define dataset requirements and quality metrics.
• Monitor dataset quality continuously and propose improvements to reduce bias and enhance reliability.

Required profile

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Systems or a related field.
• 3‑5 years of proven experience in dataset curation, data analysis or data management.
• Experience handling large‑scale datasets for AI, ML or analytics projects.
• Awareness of AI dataset ethics, bias detection and mitigation.

Required skills

• Excel and Google Sheets
• SQL
• Python for data handling
• Data cleaning, normalization and transformation techniques
• Data annotation tools and platforms
• Database management and version control systems