Senior Data Analyst
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The role in plain words
- Experience with data labeling, annotation, AI evaluation, or quality analysis of textual/conversational data
- Strong analytical and qualitative research skills with exceptional attention to detail
- Ability to investigate complex AI behaviors and identify quality patterns
- Experience working with web-based platforms, dashboards, and evolving technical tools
- Fluent English (written and spoken)
- Education background in Linguistics, Psychology, Cognitive Science, HCI, Computational Linguistics, or Data/AI-related fields
- Experience evaluating LLM or Generative AI models
- Familiarity with AI tools such as Claude, Cursor, ChatGPT, or similar platforms
- Experience with AI testing, RLHF, prompt evaluation, or conversational AI
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Who this suits
Full job description
Original listing · kept for reference🚀 Senior AI Data Quality Analyst (12-Month Contract) | Hybrid | Tel Aviv
Are you passionate about Artificial Intelligence, Large Language Models (LLMs), and data quality? Do you enjoy analyzing complex information, identifying patterns, and helping improve the performance of AI-powered products?
We are looking for a Senior AI Data Quality Analyst to join an innovative AI team and play a key role in enhancing the quality, accuracy, and reliability of next-generation AI solutions.
In this role, you will work closely with AI Engineers and Product Managers to evaluate AI-generated content, perform data annotation and labeling, identify quality issues, and provide insights that help improve AI models and user experiences.
What You'll Do
🤖 AI Model Evaluation & Quality Analysis
• Evaluate LLM-generated conversations, text outputs, and AI responses according to defined quality standards and success metrics.
• Analyze model behavior, identify patterns, and detect quality gaps or inconsistencies.
• Provide actionable feedback to improve AI model performance.
🏷️ Data Annotation & Labeling
• Perform high-quality data labeling and annotation for AI model training, evaluation, and improvement.
• Review and categorize textual and conversational data with high attention to detail.
• Ensure consistency and accuracy across large-scale datasets.
📊 Data Insights & Continuous Improvement
• Analyze production data to identify trends, regressions, and improvement opportunities.
• Track recurring quality issues and collaborate with AI teams to drive solutions.
• Support the development of evaluation processes and quality frameworks.
🤝 Cross-Functional Collaboration
• Partner with AI Engineers, Data Scientists, and Product Managers to improve AI-powered products.
• Communicate findings, insights, and recommendations to technical and business stakeholders.
What We're Looking For
✅ Experience with data labeling, annotation, AI evaluation, or quality analysis of textual/conversational data
✅ Strong analytical and qualitative research skills with exceptional attention to detail
✅ Ability to investigate complex AI behaviors and identify quality patterns
✅ Experience working with web-based platforms, dashboards, and evolving technical tools
✅ Fluent English (written and spoken)
✅ Ability to work 3 days per week from the Tel Aviv office
Education Background (Advantage)
• Linguistics
• Psychology
• Cognitive Science
• Human-Computer Interaction (HCI)
• Computational Linguistics
• Data / AI-related fields
Nice to Have
⭐ Experience evaluating LLM or Generative AI models
⭐ Familiarity with AI tools such as Claude, Cursor, ChatGPT, or similar platforms
⭐ Experience with AI testing, RLHF, prompt evaluation, or conversational AI
Why Join?
✨ Work on cutting-edge AI and LLM technologies
✨ Collaborate with world-class AI Engineers and Product teams
✨ Directly impact the quality and future of AI-powered products
✨ Hybrid work model
✨ 12-month contract with a leading global technology company
📍 Location: Tel Aviv (Hybrid)
📅 Duration: 12-month contract
📩 Interested? We'd love to hear from you! Please send your CV to emma@staffin.co.il
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- Experience with data labeling, annotation, AI evaluation, or quality analysis of textual/conversational data, Strong analytical and qualitative research skills with exceptional attention to detail, Ability to investigate complex AI behaviors and identify quality patterns, Experience working with web-based platforms, dashboards, and evolving technical tools, Fluent English (written and spoken)