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. The role works closely with data scientists, AI trainers and engineers to ensure data is accurate, diverse and bias‑free.

Key responsibilities

• Collect, curate and structure datasets for AI and ML training.
• Validate dataset accuracy, completeness and consistency.
• Annotate and label datasets according to project‑specific guidelines.
• Identify and correct data inconsistencies, duplicates and anomalies.
• Maintain metadata and comprehensive documentation for each dataset.
• 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 proven experience in dataset curation, data analysis or data management.
• Experience handling large‑scale datasets for AI, ML or analytics projects.
• Relevant certifications (e.g., Google Data Analytics Certificate, Data Management or Curation certification) are a plus.

Required skills

• Proficiency in Excel and Google Sheets.
• SQL query writing and database management.
• Python for data handling and transformation.
• Data cleaning, normalization and transformation techniques.
• Familiarity with data annotation tools and platforms.
• Version control systems for dataset versioning.
• Understanding of AI dataset ethics and bias mitigation.