Tech Stack
Responsibilities
- Analyze training and evaluation datasets to identify distributional gaps, labeling inconsistencies, and long-tail opportunities.
- Design and execute labeling campaigns, including development of golden datasets and annotation guidelines.
- Build and maintain dashboards that track model accuracy, regression trends, and product-specific KPIs.
- Investigate failure modes via prompt clustering, error taxonomy development, and user intent classification.
- Operationalize feedback loops: mine product telemetry and human-in-the-loop reviews for signal, then translate into data-driven model improvement strategies.
Benefits
- 401k
- Equity
- Health Insurance
- Parental Leave
Culture
Hybrid WorkFast-PacedIterativeCustomer-ObsessedMission-Driven
Requirements
Required: Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Data Science, Applied Math)
Regions: Us
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About ironcladhq
Industry: saas
Size: medium
Ironclad is the leading AI contracting platform that transforms agreements into assets, enabling faster contract movement and instant insights. It unifies the entire contract process on one intelligent platform, helping transformative organizations accelerate their business.
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