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What You'll Do:
- Take ownership of client de-identification projects from initial data assessment to final delivery.
- Run corpora through the de-identification pipeline, check output accuracy, and fix issues.
- Build and adjust ingestion and transformation steps for various data sources.
What We're Looking For:
- A technical degree or current enrollment in a technical field.
- Hands-on experience in data engineering, backend engineering, or solutions roles.
- Strong Python and SQL skills, with experience building repeatable data pipelines.
Why Join:
- Be an early engineer in a fast-growing business solving a critical AI data privacy problem.
- Work directly with technical founders and frontier AI labs.
- Build tools and processes that will shape the future of data de-identification.
Tonic.ai
Tonic.ai has been de-identifying sensitive data since 2018, serving enterprises like eBay and Qualcomm. They are a growing team focused on solving data privacy challenges for AI training with a collaborative and diverse culture.