Dataset Curator

About the role

We are looking for a Dataset Curator to design, maintain, and optimise high‑quality datasets for AI, Machine Learning and Large Language Model projects. You will work closely with data scientists, AI trainers and engineers to ensure data is accurate, unbiased and ready for model training.

Key responsibilities

• Collect, curate and structure datasets across multiple domains for AI/ML training.
• Validate dataset accuracy, completeness and consistency.
• Annotate and label data according to project‑specific guidelines.
• Identify and resolve data inconsistencies, duplicates and anomalies.
• Maintain comprehensive metadata and documentation for each dataset.
• Collaborate with AI trainers and data engineers to define dataset requirements.
• Ensure ethical sourcing and bias mitigation of all datasets.
• Continuously monitor dataset quality and propose improvements.

Required profile

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Systems or 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.
• Familiarity with AI dataset ethics and bias mitigation.
• Relevant certifications (e.g., Google Data Analytics, Data Management or Curation) are a plus.

Required skills

• Proficiency in Excel and Google Sheets.
• SQL query writing and data manipulation.
• Python for dataset handling and transformation.
• Data cleaning, normalization and transformation techniques.
• Use of data annotation tools and platforms.
• Database management and version control systems.
• Understanding of structured, semi‑structured and unstructured data formats.