Data Annotator

“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 SpecialistLocation: Sunnyvale, CADuration: 2-3 monthsWe 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.---Required QualificationsStrong attention to detail and ability to maintain consistency in judgment across large volumes of recordsProficiency in English — excellent reading, writing, and web research skills; ability to efficiently locate, evaluate, and synthesize information from multiple online sourcesAbility to cross-reference conflicting information across sources and make a reasoned, well-documented judgmentFamiliarity with consumer map and local search platforms (e.g., Maps, Yelp, or similar)Ability to perform repetitive tasks with sustained focus and accuracyBasic technical proficiency, including:Spreadsheets (Excel, Google Sheets, etc.)Command line usage (e.g., Bash)Installing packages and running basic scriptsFamiliarity with structured review or rubric-based evaluation processesAbility to remain objective and unbiased when reviewing content---Preferred Qualifications- 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 crowd-sourced place data