Research Engineers, Data
Tasks
- Analyze customer workflows and datasets for information needs
- Build tools and workflows for retrieval evaluation reasoning and execution
- Collaborate with AI researchers and engineers on data quality impacts
- Communicate data assumptions limitations risks and tradeoffs
- Create data quality frameworks to detect failure modes
- Design and build data systems for AI workflows
- Develop data pipelines for collecting cleaning transforming labeling evaluating data
- Develop synthetic data and annotation strategies
Perks/Benefits
Skills/Tech-stack
Data Annotation | Data Drift | Data Modeling | Data Pipelines | Data Quality | Data labeling | Data leakage | Evaluation | Experimentation | Python | Retrieval | SQL | Synthetic data
Education
N/A
Regions
Countries
States
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