Dataset Curator – AI & ML Data Management

About the role

We are looking for a Dataset Curator to design, maintain, and optimize 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 gather, clean, validate and annotate data across multiple domains, ensuring ethical sourcing and bias mitigation.

Key responsibilities

• Curate, collect, and structure datasets for AI and ML training purposes.
• 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 documentation for each dataset.
• Collaborate with AI trainers and data engineers to define dataset requirements.
• Ensure datasets are ethically sourced and free from biases.
• 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 are a plus.

Required skills

• Proficiency in Excel and Google Sheets.
• SQL query writing.
• Python for data handling.
• Data cleaning, normalization and transformation techniques.
• Use of data annotation tools and platforms.
• Database management.
• Version control systems.