Frontier Data De-Identification Engineer

Tonic AI

United States

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Tonic AI is seeking an engineer to own delivery of client de-identification projects—from initial data review to a dataset the client accepts. You will run corpora through our de-identification pipeline, ensure accuracy, and coordinate with annotation teams.

You'll diagnose issues, implement fixes, rebuild outputs, and help craft reusable runbooks and documentation while collaborating with founders, data science, and platform engineers to ship reliable, ready-to-use datasets.

Responsibilities

  • Own the delivery of client de-identification projects, from the first look at the raw data to a dataset the client accepts.
  • Run each corpus through our de-identification pipeline and check the output for accuracy: missed entities, wrong replacements, identities merged or split incorrectly, files that won't rebuild.
  • Diagnose problems as they appear. Where you can, fix them for the whole solution or for the one case. Where you can't, understand the issue well enough to explain it clearly to the engineer who can.
  • Rerun the pipeline, confirm the fix worked, then move on to the next step, which often includes working with our annotation team to validate quality.
  • Build and adjust the ingestion and transformation steps that turn raw exports (mailboxes, chat archives, document dumps, ticketing systems, databases) into processed, ready-to-use datasets.
  • Write code that gets merged, within the guardrails of our existing platform, including custom handling for client-specific one-offs.
  • Run reconciliation checks so file counts and content tie from ingest to delivery.
  • Contribute to the technical sections of the client report: what was treated as sensitive, what was kept and why, how each file type was handled, and known limitations.
  • Walk clients through what was done and the resulting data, alongside Tonic's founders at first and on your own as you grow.
  • Turn every one-off fix into something reusable: documentation, runbooks, and improvements to the product.

Job description

Tonic AI is seeking an engineer to own delivery of client de-identification projects—from initial data review to a dataset the client accepts. You will run corpora through our de-identification pipeline, ensure accuracy, and coordinate with annotation teams.

You'll diagnose issues, implement fixes, rebuild outputs, and help craft reusable runbooks and documentation while collaborating with founders, data science, and platform engineers to ship reliable, ready-to-use datasets.

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