Why this grade
This listing scored 26/100, which is an F. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 7 / 10 Whether more than one source carries this listing.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Remote Database Administration
About the Role: At TELUS Digital, we are building more than just models; we are building "Digital Twins" of the physical world. As a Digital Twin & Synthetic Reality Expert, you are a pioneer in Spatial AI. You don't just label 2D images; you work within 3D simulations and synthetic environments to teach AI how to navigate reality. You will bridge the gap between architectural data, physics, and machine vision. At TELUS, you are helping to create the "Map of Everything" that will power the future of autonomous infrastructure and the industrial metaverse.
Tasks
What Makes This Role Unique (Key Responsibilities):
- 3D Point-Cloud Annotation: Working with LiDAR and depth data to identify objects in a 3D space, ensuring the AI understands volume and distance, not just pixels.
- Physics-Consistency Auditing: Evaluating synthetic data (AI-generated environments) to ensure that gravity, lighting, and collisions behave as they do in the real world.
- Spatial Semantic Labeling: Annotating "Digital Twins" of factories, hospitals, or cities to teach AI the function of complex machinery and infrastructure.
- Synthetic-to-Real (Sim2Real) Validation: Comparing AI performance in a simulation versus the real world to identify "reality gaps" and correcting the training data accordingly.
Requirements
Qualification path
Mandatory Qualifications:
- Education: Minimum of a Bachelor’s Degree in Cybersecurity, Criminal Justice, Forensic Science, or Information Security.
- Native Language: Native-level proficiency in your primary language is mandatory to identify localized document types and regional identity nuances.
- English Proficiency: Minimum B1 (Intermediate) level English.
- Analytical Eye: Exceptional attention to detail, specifically in identifying pixel-level anomalies in digital images.
Assessment:
In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.
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Where this listing came from
- 09 Jul 2026 Arbeitnow first sighting
Seen on 1 board over 0 days.