Live opening · Posted 23 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
About LH2 AI Labs
LH2 AI Labs is an applied research lab solving data platform and curation challenges for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models.
Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI.
About the role
This is a full-time, hands-on role where you will own the work on the golden path from a data owner's system to a clean, cataloged, deliverable asset. That path covers connectors and on-prem agentic discovery components, secrets and PII scrubbing, scale and cost efficient ingestion and clearance for use in model training.
What you'll do
Build redaction for code (including full git history, fixtures and seed data) and for unstructured ops data (Slack, email, PDF, PPTX, spreadsheets etc.)
Add Indian PII recognizers and tune for recall without destroying meaning.
Build the evaluation harness: ground-truth sets, recall and precision measurement, and sampled review workflows.
You have
3-8 years in data or backend engineering.
High agency to learn and solve challenging problems.
Good Python skills and comfort with NER and text-processing pipelines.
You treat "how do we know it worked" as part of the job.
Nice to have
Experience with Presidio, spaCy or LLM-based entity detection.
Knowledge of DPDP or GDPR.
Background in secrets scanning.
Work arrangement
No
Your early-applicant advantage
Live timing from JobBeeper.
More openings worth a look
Recently tracked roles with full details and direct application links.