Research Engineers, Data
Tasks
- Analyze customer workflows and datasets to define needed information and representations
- Build tools and workflows for retrieval evaluation reasoning and execution
- Collaborate with AI researchers and AI engineers on data quality and system behavior
- Communicate data assumptions limitations risks and tradeoffs
- Create data quality frameworks to identify coverage gaps ambiguity drift duplication leakage
- Design and build data systems for AI workflows
- Develop data pipelines for collecting cleaning transforming labeling and evaluating data
- Develop synthetic data annotation and feedback loop strategies
Perks/Benefits
Skills/Tech-stack
Data Annotation | Data Drift | Data Modeling | Data Quality | Data evaluation | Data labeling | Data leakage | Data pipeline | ETL | Information Retrieval | Python | SQL | Synthetic data
Education
N/A
Regions
Countries
States
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