About Us:

The following is what we at Censys call our DNA derivatives. It is fundamental to the job that you align with them. Please review them before applying. Thank you, and we look forward to seeing your applications!

Censys Technologies DNA Derivatives

5 Areas of Excellence: Steward resources with excellence | Obsess over customers | Create new technologies | Improve continuously | Communicate with excellence

4 Core Values: Steadfast Customer Service | Quality | Integrity | Love

3 Fundamental Beliefs:

• We believe enrichment comes when technology enables problem-solving.
• We believe our natural order is to achieve our maximum potential as individuals and as an organization, making the world wiser.
• We believe omniscience of humanity’s assets is the cornerstone of value creation.

2 Pillars of Identity:

• Strength–the capacity to withstand great force and pressure
• Courage–the ability to name fear and not give it a foothold

1 Mission: Enrich lives through asset intelligence technology.

Position Overview:

Censys Technologies is seeking a detail-oriented intern to help label and classify LiDAR point-cloud datasets for utility asset and vegetation analysis. This role supports CensWise, Censys Technologies’ AI and geospatial analysis platform, by preparing classified .las datasets that can be used for technical review, quality control, and future machine-learning training workflows.

Responsibilities:

Classify LiDAR .las point-cloud datasets using Censys-provided guidance.

Identify and label required features, including:

• Powerlines /conductors
• Utility poles, towers, and guy wires
• Vegetation
• Buildings

Preferred Qualifications:

Basic familiarity/interest with LiDAR, GIS, point clouds, or geospatial data.

Experience with .las / .laz files or point-cloud viewing/classification tools (not required).

Strong attention to detail and patience for repetitive visual labeling tasks.

Ability to follow written classification standards and ask questions when features are unclear.

Interest in drones, utilities, mapping, AI training data, or geospatial technology.

Nice-to-Have Skills:

Familiarity with tools such as CloudCompare, ArcGIS, QGIS, TerraScan, LP360, or similar point-cloud software.

Summary:

This is an entry-level technical role for someone who wants hands-on experience with drone-collected LiDAR data, utility infrastructure, and AI training-data preparation. The work requires accuracy, consistency, and careful visual review more than advanced software engineering experience.

Pay: From $20.00 per hour

Application Question(s):

• Have you reviewed the Censys DNA derivatives? If yes, does at least one Censys DNA derivative strongly resonate with you?

Work Location: In person