Data Analyst - Quality Assurance

About Glean

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

About The Role

We're seeking a technically-focused Data Analyst - QA role to drive the Quality of our AI features and various LLM models. This role involves evaluating AI outputs, identifying and tagging patterns in errors, and ensuring that responses align with accuracy, coherence, and ethical guidelines. We are looking for someone with a strong analytical mindset, attention to detail, and experience working with AI, NLP models, or data-driven assessments.

You Will

• Triage Bad Query responses and categorisation of the issues found
• Analyse win/loss patterns across different LLM Models and AI features
• Conduct qualitative analysis to detect inconsistencies, biases, retrieval errors, or hallucinations in AI outputs.
• Develop quality metrics and benchmarks to measure AI response performance over time.
• Collaborate with data scientists and engineers to provide feedback and improve AI models.
• Identify trends and recurring issues in AI responses and suggest refinements.
• Design and maintain quality assurance guidelines for AI-generated content evaluation.
• Perform manual audits on AI outputs to ensure compliance with linguistic and ethical standards.
  
  

About You

• Bachelor's or Master's degree in Data Science, Computer Science Engineering, AI/ML Engineering, Information Technology, Compute Applications.
• 3 -5 years of experience in quality assurance, data analysis, content moderation, or NLP-related roles.
• Excellent vocabulary and communication skills
• Experience in Search Engine Optimization (SEO) or analysing AI response quality
• Strong ability to analyze qualitative data, identify patterns, and synthesize insights.
• Ability to communicate findings effectively to both technical and non-technical stakeholders.
• Excellent attention to detail and critical thinking skills.
• Experience working with AI-generated content, NLP models, or chatbots.
  
  

Preferred Skills

• Familiarity with data annotation tools and evaluation frameworks for AI models
• Familiarity with qualitative research methodologies and user behavior analysis
• Basic knowledge on SQL retrieval
• Experience working on JIRA is a plus
• Ability to work in a fast-paced environment and adapt to evolving AI technologies.
  
  

Compensation & Benefits

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.