Data and knowledge

Dataset curation and stewardship

Dataset curation and stewardship is the work of choosing, documenting and maintaining datasets so that a team knows what is in them and what it may do with them. AI companies need it because model quality and legal exposure both start with the data.

Models now train on larger and more varied data, and the questions about where it came from and what it permits are arriving from customers, partners and regulators. Most teams have ingestion covered. Few have someone who decides whether a dataset is fit for use. The hires are tricky because the best people come from archives, information science or governance, not machine learning. They need enough technical fluency to earn the trust of researchers.

Hiring now 4Emerging 1

Roles in this family

5 roles

Hiring nowTraining Dataset CuratorA Training Dataset Curator chooses, documents and maintains the data that models learn from. They make sure each dataset fits the model's goals…Hiring nowData Provenance SpecialistA Data Provenance Specialist traces where every dataset record came from and what was done to it, so the company can show it has the right to use…Hiring nowAI Data StewardAn AI Data Steward controls who can use each dataset, for what, and for how long. That keeps training and evaluation data within its rights, and…EmergingDataset Contamination AnalystA Dataset Contamination Analyst finds where training data overlaps with evaluation sets and recommends fixes. It matters because inflated scores…Hiring nowTraining Data Strategy LeadThe Training Data Strategy Lead decides what data the company buys, licenses, generates or collects, and manages the vendors and rights behind it…

Where the people come from

Data science, archives, information science or data governance

Not to be confused with. Raw ingestion is distinct from deciding fitness for use.

Core skills

  • Experimental design
  • Data quality and provenance
  • Intellectual property and licensing
  • Data stewardship and consent

Where it is used

  • Cross-sector AI platforms

Routes in and out

People move in from

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