Dataset Curator

About the role

We are seeking a Dataset Curator to design, maintain, and optimize 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 data supports robust model training and evaluation.

Key responsibilities

• Curate, collect, and structure datasets for AI and ML training.
• Validate dataset accuracy, completeness, and consistency.
• Annotate and label datasets according to project guidelines.
• Identify and correct data 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) are a plus.

Required skills

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