Digital Twin & Synthetic Reality Specialist

Job Summary

The Digital Twin & Synthetic Reality Specialist annotates 3D point-cloud and LiDAR datasets, verifies physics-consistency (gravity, lighting, collisions) in synthetic environments, semantically labels digital twins of complex facilities, and evaluates Sim2Real performance gaps to optimize Spatial AI systems.

Key Roles & Operational Responsibilities

1. 3D Point-Cloud & Spatial Annotation

• LiDAR & Depth Processing: Work directly with 3D point-cloud, depth map, and spatial data to identify and bound objects in 3D space.
• Volumetric Understanding: Ensure computer vision models grasp volume, distance, perspective, and spatial coordinates beyond flat 2D pixels.

2. Physics-Consistency Auditing & Synthetic Environments

• Simulation Verification: Audit synthetic (AI-generated) 3D environments to ensure physical laws—such as gravity, object collisions, surface textures, and lighting dynamics—behave accurately compared to real-world physics.
• Spatial Semantic Labeling: Annotate functional elements within Digital Twins of industrial sites, factories, hospitals, or urban infrastructure to train AI on machinery function and environment navigation.

3. Synthetic-to-Real (Sim2Real) Validation

• Reality Gap Identification: Benchmark AI navigation and perception performance in simulated environments against real-world test results.
• Dataset Calibration: Correct and re-annotate training data to close perception gaps and improve autonomous system performance.

Foundational Capabilities & Prerequisites

Core Technical Experience & Aptitude

• 3D & Spatial Awareness: Comfort working with 3D data formats, spatial coordinates, point-clouds, or computer vision environments.
• Detail-Oriented Observation: High attention to detail for identifying anomalies in spatial geometry, lighting anomalies, or physical inconsistencies.
• Tech Adaptability: Ability to learn specialized 3D annotation software, simulation platforms, and data pipeline tools quickly.

Additional Listed Qualifications (As per posting)

• Educational Baseline: Minimum of a Bachelor’s Degree in Cybersecurity, Criminal Justice, Forensic Science, Information Security, or a related field.
• Language Requirements: Native-level proficiency in primary language + minimum B1 (Intermediate) English proficiency.
• Analytical Eye: Precision in identifying pixel-level or structural anomalies.

What TELUS Digital Offers

• Flexible Hourly Pay: Rates ranging from $12 to $25 USD per hour, defined by project tier and region.
• Global Remote Autonomy: Manage your own hours and workload from anywhere in the world.
• Pioneering AI Work: Gain hands-on experience in Spatial AI, LiDAR, computer vision, and industrial metaverse applications.
• Global Network: Collaborate within a network of contributors spanning 500+ languages and 20+ specialized domains.

Skills Required:

• Computer / Software / It / Data