AI Data Analyst
Bangalore, India
Posted 21d ago
About the job
Glean is seeking an AI Data Analyst to help power the human evaluation system behind Glean’s AI product quality. This role sits at the center of response quality, competitive benchmarking, and release readiness. You will evaluate AI outputs, label and categorize failure modes, maintain high-quality benchmark data, and help ensure the datasets and evaluations we rely on are realistic, consistent, and tied to measurable product quality lift. This is a highly cross-functional role where you will work closely with QA, Engineering, Product, and the evals team to convert ambiguous quality issues into structured data, actionable feedback, and repeatable quality signals.
Responsibilities
- Perform ongoing human labeling for priority AI workflows, including response quality, task success, MCP, tool use, and end-to-end Cowork-style workflows.
- Triage bad-query reports, downvotes, escalations, and routed quality issues, categorizing failure modes and feeding analysis back to partner teams.
- Conduct 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 to ensure judgments are consistent, realistic, and useful for model and product improvement.
- Maintain high-quality labeled datasets, golden sets, and regression slices, monitoring 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.