Field QC Technician I - Data Quality & GIS

Dynamic Map Platform North America, Inc.; Livonia (MI); On-site; USD 25,000 - 33,000; Full time

Job summary

Dynamic Map Platform North America, Inc. is seeking an entry-level Field QC Technician I for a temporary 4-6 month full-time assignment in Livonia, Michigan.

The role works under supervision to support data quality control workflows across GPS/IMU, LiDAR, and base station data. Responsibilities include processing assignments, analyzing trajectory and point cloud data for consistency, tracking data flow from field to production, and identifying/correcting anomalies.

Qualifications

• Bachelor’s degree in GIS or equivalent.
• General computer literacy and competency (file types, computer networks, Microsoft Excel, etc.).
• Knowledge of GIS, GPS, LiDAR: Mapping Projections & Datums, GPS Post-Processing, LAS files.
• Demonstrated ability to apply analytical methods and sound judgment to solve problems.
• Math and statistical analysis.
• Familiar with Python and batch processing.
• Experience with SQL and relational database principles.
• Oral and written communications skills for GIS products.

Responsibilities

• Receive assignments and guidance from senior team members to process GPS/IMU trajectory data, LiDAR point cloud data, and GPS base station data.
• Provide support in analyzing trajectory and point cloud data for consistency and accuracy.
• Track flow of data from field to production.
• Identify anomalies in field data and correct errors where possible.

Skills

GIS knowledge

Analytical ability

Math & statistics

Problem solving

Oral & written communication

General computer literacy

Python

SQL

Education

Bachelor’s degree in GIS

Tools

LAS files

Job description

Dynamic Map Platform North America, Inc. is seeking an entry-level Field QC Technician I for a temporary 4-6 month full-time assignment in Livonia, Michigan.

The role works under supervision to support data quality control workflows across GPS/IMU, LiDAR, and base station data. Responsibilities include processing assignments, analyzing trajectory and point cloud data for consistency, tracking data flow from field to production, and identifying/correcting anomalies.