21301 - GIS & Annotation Lead

Qualitest is the world’s leading AI-powered Quality Engineering company.

With 8,000+ experts worldwide and 1,500 in Israel, we partner with top global brands to deliver smarter, faster, and more reliable technology solutions. For the fifth year in a row, Qualitest has been recognized as one of Israel’s Top 100 Best Places to Work, reflecting our commitment to a stable, supportive, and growth-oriented workplace.

We are looking for a GIS & Annotation Lead to join Google Research, supporting research initiatives that rely on high-quality analysis of imagery and geospatial data.This is a part-time, hourly-based position (approximately 9 hours per week, spread across 2–3 days).

The role combines hands-on analysis of images and aerial imagery within Google GIS systems, along with professional leadership and oversight of annotation activities, including guidance of additional annotators as the project grows.

Responsibilities

• Analyze images and aerial imagery using Google’s GIS and mapping systems
• Perform accurate visual interpretation and annotation of geospatial data
• Identify and classify objects in imagery, such as: Buildings Roads Vehicles (cars, trucks, etc.)
• Additional man-made and natural features
• Ensure high annotation quality, consistency, and adherence to research standards
• Act as a professional focal point for annotation-related questions and methodologies
• Lead, guide, and support additional annotation staff, including onboarding and quality reviews
• Collaborate with research teams to support data-driven research goals
  
  
  

Requirements

• Strong ability to analyze and interpret aerial imagery and visual data
• Excellent understanding of geospatial concepts and GIS-based analysis
• Proven capability to distinguish and classify objects in images (e.g., buildings vs. roads vs. different vehicle types)
• High attention to detail and strong analytical skills
• Ability to work independently in a research-oriented environment
• Background as a graduate of IDF Unit 9900 (or equivalent geospatial / imagery analysis experience) - Advantage
• Experience with image annotation, visual intelligence, or geospatial data labeling - Advantage
• Previous experience mentoring, guiding, or leading others in analytical or annotation tasks - Advantage
• Academic background or current studies in Geography, GIS, Computer Science, Data, Engineering, or related fields - Advantage

Why should you join us?

• Grow your career in a stable, innovative environment
• Collaborate closely with clients to deliver smart, high-quality solutions
• Make an impact in a dynamic, learning-driven environment
• Be part of a human, value-driven organization that cares