Data Set Curator

About the role

We are looking for a Data Set Curator to design, maintain, and optimise high‑quality datasets for AI, Machine Learning and Large Language Model projects. The role works closely with data scientists, AI trainers and engineers to ensure datasets are accurate, unbiased and ready for model training.

Key responsibilities

• Collect, curate and structure datasets for AI and ML training.
• Validate dataset accuracy, completeness and consistency.
• Annotate and label data according to project‑specific guidelines.
• Identify and correct inconsistencies, duplicates and anomalies.
• Maintain comprehensive metadata and documentation.
• Collaborate with AI trainers and data engineers to define dataset requirements.
• Ensure ethical sourcing and bias mitigation.
• Monitor dataset quality continuously and propose improvements.

Required profile

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Systems or a related field.
• 3‑5 years proven experience in dataset curation, data analysis or data management, preferably with large‑scale AI/ML projects.
• Relevant certifications (e.g., Google Data Analytics Certificate, Data Management or Curation certification) are a plus.

Required skills

• Excel and Google Sheets
• SQL
• Python for data handling
• Data annotation tools and platforms
• Database management
• Version control systems