Maps Data Research & Annotation Specialist

NOTE:

If selected for this position, you are required to perform ALL work onsite, based on the client’s specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).

Title:

Maps Data Research & Annotation Specialist

Location:

Sunnyvale, CA

Duration: 2-3 months

We are seeking a highly detail-oriented Maps Data Research & Annotation Specialist to support the creation and validation of high-quality Maps data labeling datasets. This role involves active web research, manual annotation, visual quality assurance, and reviewing multiple information sources to assess the accuracy and identity of real-world places and businesses.

The ideal candidate is meticulous, unbiased in judgment, and comfortable performing structured and detail-heavy research tasks that require synthesizing information across multiple sources while maintaining a high standard of quality and consistency.

• Strong attention to detail and ability to maintain consistency in judgment across large volumes of records
• Proficiency in English — excellent reading, writing, and web research skills; ability to efficiently locate, evaluate, and synthesize information from multiple online sources
• Ability to cross-reference conflicting information across sources and make a reasoned, well-documented judgment
• Familiarity with consumer map and local search platforms (e.g., Maps, Yelp, or similar)
• Ability to perform repetitive tasks with sustained focus and accuracy
• Basic technical proficiency, including:
• Command line usage (e.g., Bash)
• Installing packages and running basic scripts
• Familiarity with structured review or rubric-based evaluation processes
• Ability to remain objective and unbiased when reviewing content

• Experience with map or geospatial data, including navigating satellite imagery and street-level imagery
• Experience evaluating place or business data for accuracy, completeness, or duplication
• Experience identifying visual inconsistencies or defects in image data
• Experience with annotation tools (e.g., Labelbox, CBAT, or similar platforms)
• Proficiency in one or more Indian languages — ability to read and interpret place names, reviews, and web content in local scripts is valuable for annotating Indian-market POI data
• Familiarity with how POI (Point of Interest) data is structured and used in mapping or local search products
• Basic programming experience (e.g., Python)
• Experience working with user-generated content such as reviews, ratings, or crowdsourced place data