Data Set Curator

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. You will work closely with data scientists, AI trainers and engineers to ensure the data used for model training is accurate, unbiased and well‑documented.

Key responsibilities

• Curate, collect and structure datasets for AI/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 metadata and comprehensive documentation.
• Collaborate with AI trainers and data engineers to define dataset requirements.
• Ensure datasets are ethically sourced and free from bias.
• Continuously monitor dataset quality 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 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 and bias mitigation.
• Relevant certifications (e.g., Google Data Analytics, Data Management or Curation) are a plus.

Required skills

• Proficiency with Excel, Google Sheets, SQL and Python for dataset handling.
• Knowledge of data cleaning, normalization and transformation techniques.
• Familiarity with data annotation tools and platforms.
• Understanding of structured, semi‑structured and unstructured data.
• Experience with database management and version control systems.