- Bellevue, Washington, United States +1 more
- On-site
- Full-time · Senior
- $150K–$160K per year
- 5+ years
Contribute to the development of AI training datasets by building and maintaining Python-based data processing pipelines for large-scale structured and unstructured datasets.
Locations (2)
- Bellevue, Washington, United States
- Seattle, Washington, United States
Compensation
For candidates based in Washington State, the anticipated salary range is $150,000– $160,000 USD/Annually.
Responsibilities
- Design, develop, maintain, and optimize Python-based data pipelines for large-scale data ingestion, processing, and transformation.
- Build datasets from the ground up by collecting, organizing, cleaning, validating, and preparing raw structured and unstructured data.
- Develop workflows for OCR processing, text extraction, normalization, filtering, segmentation, and deduplication.
- Execute and monitor large-scale batch processing jobs, troubleshoot failures, and implement automated retry and recovery mechanisms.
- Develop automated data quality checks to identify missing or corrupted files, incomplete processing outputs, duplicate records, formatting issues, and metadata inconsistencies.