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The Data Curator and Annotator will be responsible for curating, labeling, and maintaining high-quality datasets to support ML training, RAG pipelines, and evaluation. This role requires precision in annotation, strong attention to detail, and the ability to establish reliable guidelines and workflows. The ideal candidate will collaborate closely with engineers and data scientists to ensure datasets are accurate, secure, and aligned with business and research needs.
Job Responsibility:
Curate and label datasets for ML training and evaluation
Define annotation guidelines and quality control processes
Develop efficient labeling workflows with quality gates
Ensure privacy, security, and bias mitigation in datasets
Collaborate with engineers and data scientists to improve data utility
Build trusted evaluation datasets for ranking and RAG tasks
Requirements:
Experience labeling or curating datasets for NLP or search
Familiarity with annotation tools such as Label Studio or Prodigy
Strong attention to detail and commitment to labeling consistency
Comfort working with enterprise domain data
Experience with QA processes for annotation quality
Strong written communication for guideline creation
Respect for privacy, security, and ethical data principles
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