Vincent O.

Key Skills

Software

Other

Labelbox

Dataloop

SuperAnnotate

Top Subject Matter

Geospatial intelligence and urban modeling

Aerial imagery annotation for computer vision and autonomous navigation

Computer vision labeling for sponsorship/logo exposure analysis

Top Data Types

Image

Text

3D Sensor

Document

Top Task Types

Mapping

Object Detection

Classification

Tracking

Freelancer Overview

3D Data Labeling Specialist — Nearmap (Rooftop/3D spatial annotation). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Google Earth, Zillow, and Google Maps. Education includes Bachelor of Science, University of Nairobi (2021). AI-training focus includes data types such as Geospatial, Tiled Imagery, and Image and labeling workflows including Mapping, Object Detection, and Classification.

Labeling Experience

Freelance Data Analyst & AI Project Contributor

LabelboxTextClassification

Provided freelance data processing and multi-modal annotation services for AI firms. Supported training dataset preparation across text and other media types to help production-level machine learning models improve. Worked on refining datasets used for model evaluation and ongoing training workflows. • Performed text-related annotation and dataset preparation • Helped refine production ML training datasets based on evaluation needs • Contributed to multilingual/linguistic translation-related dataset work • Ensured annotated outputs supported downstream ML model development

2017 - Present

3D Data Labeling Specialist — Nearmap

Labelbox3D SensorObject DetectionTracking

No description provided.

2024 - 2025

Sports Media Data Analyst — GumGum (ReloMetrics Project)

OtherImageObject Detection

Evaluated sports broadcast media to identify and verify brand exposure, sponsorship placement, and intellectual property occurrences. Used computer-vision and AI-assisted visual recognition to quantify logo share-of-voice and exposure duration from media content. Coordinated with quality assurance teams to maintain dataset integrity and reporting consistency across media intelligence outputs. • Verified sponsorship and brand placement occurrences in sports broadcasts • Generated quantified exposure/visibility metrics using AI-assisted visual recognition • Maintained labeling consistency through QA collaboration • Synthesized metrics into media intelligence reports for stakeholders

2024 - 2025

3D Data Labeling Specialist — Nearmap (Rooftop/3D spatial annotation)

Mapping

Engineered 3D spatial annotations and dimensional 2D rooftop models for building structures using high-resolution aerial imagery. Integrated aerial imagery with geospatial platforms to generate high-fidelity geospatial assets for downstream smart-city and urban modeling workflows. Ensured compliance with spatial mapping protocols to support foundational datasets used by modeling and analytics teams. • Produced precise 3D annotations and rooftop model outputs from aerial imagery • Combined multi-platform spatial tools (e.g., Google Earth/Maps) with aerial datasets • Validated adherence to mapping and dimensional accuracy requirements • Supported initiatives requiring geospatial asset readiness and protocol conformance

2024 - 2025

Aerial Data Annotator — Zipline

Object Detection

Performed visual mapping and structural object detection on aerial imagery to support training of autonomous drone navigation algorithms. Supported the lifecycle development of proprietary computer-vision models with a focus on precision localization and spatial awareness. Collaborated with geospatial engineers to evaluate model feedback and iterate data schemas. • Labeled and validated structural objects within aerial imagery • Assisted in improving localization quality for CV training datasets • Iterated annotation schemas based on machine feedback • Contributed to safety-oriented evaluation of aerial operations

2024 - 2024

Education

Work History