Data Labeler
1 week ago
ABOUT THE ROLE:
As an Data Labeler, you will play a critical role in the end-to-end delivery of high-quality property underwriting reports. Your work enables insurance carriers to make better risk decisions by ensuring image data captured by drones is accurately reviewed, annotated, and structured into professional-grade reports.
This role is ideal for detail-oriented individuals who thrive in a structured environment, have strong visual analysis skills, and are excited to contribute to the evolution of AI-driven inspection technology.
RESPONSIBILITIES:
- Review aerial and ground-level drone images for residential and commercial properties.
- Classify and tag images according to categories like Roof, Elevation, Interior, Hazards, and Outbuildings.
- Identify and annotate structural damage or risk indicators using specialized tools.
- Cross-validate address information using mapping tools (e.g., Google Maps, Zillow).
- Create comprehensive inspection reports using Bees360's AI-powered platform and templates.
- Validate AI-generated content and correct errors to ensure data integrity.
- Collaborate with internal QA teams to maintain labeling accuracy and performance benchmarks.
- Follow standardized operating procedures (SOPs) for labeling, annotation, and report formatting.
REQUIREMENTS:
- Strong attention to visual details and high standards for accuracy.
- Amenable working 100% Onsite (Pampanga).
- Amenable working in APAC schedule (Morning schedule)
- Basic understanding or familiarity with digital tools such as image annotation platforms, Google Maps, and web-based property databases (Advantage but not required).
- Ability to follow structured workflows and guidelines meticulously.
- Good English reading and writing skills (technical training will be provided).
- Has the determination to be trained for Image Annotating/Image Labelling.
Job Types: Full-time, Permanent
Pay: Php22, Php29,000.00 per month
Benefits:
- Additional leave
- Company Christmas gift
- Company events
- Opportunities for promotion
- Paid training
- Pay raise
Application Question(s):
- Do you have an experience in Image Annotating or Data Labelling?
- This is a 100% Onsite work based in Angeles City, Pampanga are you amenable to that?
- Can you start ASAP?
Work Location: In person
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