Geospatial Data (Field & Analysis)

Remote Full-time
Merit Ontario is a construction association supporting workforce needs across Ontario, and they are seeking a Geospatial Data Specialist for their member Terresky. This role involves field data collection and data processing using geospatial tools to create digital twins for construction projects. Responsibilities Walk active construction sites or urban environments weekly to capture 360-degree hi-res video and imagery of 100% of the site Operate and maintain high-tech hardware, including 360-degree cameras, terrestrial lidar scanners, or drones Initiate data transfer at the end of each collection day to ensure raw files are ready for processing Adhere strictly to safety protocols, wearing all required PPE (hard hat, vest, glasses, boots, etc.) on-site Use ArcGIS Reality and ArcGIS GeoBIM to transform raw imagery and lidar point clouds into detailed 3D representations and digital twins Integrate diverse datasets, including BIM (Building Information Modeling), GIS layers, and photogrammetry, into a central repository Perform spatial and temporal analysis to forecast events, monitor changes over time, and identify patterns like "hot spots" for maintenance Utilize AI and deep learning models to identify and sort objects within the visual data Collaborate with Field Operations Managers to ensure processed models provide maximum contextual awareness for clients Skills Familiarity with ArcGIS software (Pro, Online, or GeoBIM) and an understanding of GIS technology Ability to read and interpret architectural floor plans and blueprints Strong communication skills are imperative for independent work Ability to adapt to changing site conditions or project requirements Must be comfortable walking for extended periods in active construction environments Benefits Hands-on experience with cutting-edge reality capture and digital twin technology. Flexible schedule for data processing tasks. Exposure to various industries, including construction and urban planning. Mentorship from experts in AI, computer vision, and geospatial science. Company Overview Merit Ontario for Training is an innovative virtual learning hub for your training and resource needs. It was founded in 2021, and is headquartered in Mississauga, Ontario, CA, with a workforce of 11-50 employees. Its website is
Apply Now →

Similar Jobs

Experienced Registered Behavior Technician for In-Home ABA Therapy - Atlanta, GA

Remote

Immediate Hiring: Experienced Registered Behavioral Technician (RBT) for Clinic-Based ABA Therapy Services

Remote

Experienced Registered Behavioral Technician (RBT) - ABA Therapy for Children with Autism Spectrum Disorder

Remote

Experienced Registered Nurse - Telehealth: Providing Remote Care Coordination and Patient Support

Remote

Experienced Substitute Teacher for Riverside County Schools - Join Scoot Education's Innovative Team

Remote

Experienced Substitute Teacher for San Bernardino County - Flexible Schedules & Competitive Pay

Remote

Experienced School Year Instructional Coach for High-Dosage Tutoring Programs in Edgewater Park, NJ

Remote

Experienced School Year Tutor for K-8 Students in Math and Literacy - Mickleton, NJ

Remote

Experienced Secondary Social Studies Teacher for Kansas - Flexible Hybrid Remote Arrangement

Remote

USPS Office Helper

Remote

**Experienced Customer Service Representative – Health Care and Medical Equipment Support**

Remote

Eyetastic Services is hiring: Remote Optometrist in Sandy Springs

Remote

Model Risk Analyst, CCAR/CECL Model Validation (Remote)

Remote

**Experienced Part-time Remote Data Entry Specialist for Clinical Trials at blithequark**

Remote

Network Engineer job at CACI International in High Point, NC

Remote

**Experienced Desktop Support Specialist – IT Operations Support in arenaflex**

Remote

Clinical Documentation Coordinator (Remote)

Remote

Training & Development Manager

Remote

Lead Quant Systems Engineer -- Backtesting & Data - Quant Genie AI

Remote

bolthires Appeals Nurse Consultant (Remote) in Hartford, Connecticut

Remote
← Back