AI Data Analyst
Job Summary
- Run ongoing human labeling for priority AI workflows including response quality task success MCP and tool use end-to-end Cowork-style workflows.
- Triage bad-query reports downvotes escalations and routed quality issues; categorize failure modes and feed clean analysis back to partner teams.
- Perform qualitative analysis to identify recurring patterns such as hallucinations retrieval failures tool-use issues weak grounding and poor workflow completion.
- Follow and improve labeling guidelines and rubrics so judgments are consistent realistic and useful for model and product improvement.
- Maintain high-quality labeled datasets golden sets and regression slices; monitor coverage drift leakage and difficulty distribution.
- Participate in calibration exercises with human graders and validate LLM-as-a-judge outputs against human labels to improve consistency and judge quality.
- Partner with engineers PMs QA and eval owners on pre/post-change quality reads benchmark updates and release-readiness decisions.
- Contribute to recurring quality reporting by surfacing top failure modes coverage gaps quality shifts and actionable recommendations.
- 35 years of experience in data labeling data analysis QA or a related field.
- Strong analytical judgment and attention to detail with the ability to apply nuanced rubrics consistently.
- Experience evaluating AI-generated outputs or working with NLP search recommendation or other ML systems.
- Familiarity with structured qualitative analysis basic SQL/data retrieval and spreadsheet-based workflows.
- Clear written and verbal communication skills with the ability to explain findings to both technical and non-technical audiences.
- Ability to work independently in ambiguous fast-moving environments and collaborate effectively across functions.
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Required Experience:
IC
About Company
Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more