> Markdown version of [/jobs/ext/2208707-ai-data-analyst](https://www.wearedevelopers.com/jobs/ext/2208707-ai-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Analyst - **Company:** Greenhouse Software, Inc. - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Spreadsheets, Data Retrieval, Software Product Management, Large Language Models, Machine Learning Operations, Automation Anywhere - **Published:** August 24, 2026 - **Apply:** https://job-boards.greenhouse.io/gleanwork/jobs/4724189005 ## About the Role * 3-5 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. ## Description 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 centre 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 evals we rely on are realistic, consistent, and tied to measurable product quality lift. This is a highly cross-functional role. 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. You will: * 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., At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement. By clicking "Submit Application," I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Building a Friendly Kotlin SDK to Connect to JetBrains Space](https://www.wearedevelopers.com/videos/128-building-a-friendly-kotlin-sdk-to-connect-to-jetbrains-space) - [AI beyond the code: Master your organisational AI implementation.](https://www.wearedevelopers.com/videos/1248-ai-beyond-the-code-master-your-organisational-ai-implementation) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)