21301 - GIS & Annotation Lead

Date: 26 Jan 2026
Company: Qualitest Group
Country/Region: IL

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