What are the responsibilities and job description for the Geospatial Analyst position at Red Oak Technologies?
Map Data Annotation & Quality Review Specialist
Sunnyvale, CA
We are seeking a highly detail-oriented Map Data Annotation & Quality Review Specialist to support the creation and validation of high-quality map labeling datasets. This role involves manual annotation, visual quality assurance, and reviewing geospatial imagery to ensure accuracy and consistency across mapping products.
The ideal candidate is meticulous, unbiased in judgment, and comfortable working on repetitive, detail-heavy tasks while maintaining a high standard of quality.
Key Responsibilities
Perform manual annotation and labeling of map and image-based datasets
Conduct visual quality assurance (QA) and content review of geospatial imagery
Identify and document inconsistencies such as alignment errors, missing elements, and visual defects
Review road elements (e.g., bike lanes, intersections, traffic features) for accuracy and completeness
Follow rubric-driven review processes to ensure consistency and standardization
Maintain high-quality output with a focus on accuracy over speed
Escalate ambiguous or unclear cases to supervisors for further review
Collaborate with team members and leadership to resolve data discrepancies
Required Qualifications
Strong attention to detail and ability to maintain consistency in judgment
Excellent reading and writing skills
Ability to perform repetitive tasks with sustained focus and accuracy
Basic technical proficiency, including:
Spreadsheets (Excel, Google Sheets, etc.)
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
Preferred Qualifications
Experience with map or geospatial data (e.g., reviewing maps or satellite imagery)
Familiarity with road features and infrastructure (bike lanes, intersections, etc.)
Experience identifying visual inconsistencies or defects in image data
Experience with annotation tools (e.g., Labelbox, CBAT, or similar platforms)
Basic programming experience (e.g., Python)
Prior experience with Google Maps or similar mapping platforms
Candidate Profile
Recent graduates (Bachelor’s or Master’s) in relevant fields such as Computer Science, Geography, GIS, or related disciplines are encouraged to apply
Demonstrates strong analytical thinking and problem-solving skills
Proactive in escalating issues and seeking clarification when needed
Committed to delivering high-quality, accurate work