Technical Operator- I
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Role Overview
The Operator Level 1 is responsible for executing 2D and 3D LiDAR annotation and segmentation tasks in accordance with defined SOPs quality benchmarks and productivity targets. This role requires technical precision spatial awareness and disciplined execution in high-volume production environments.
Responsibilities
Production & Quality Execution
Execute repetitive 2D/3D LiDAR annotation and segmentation tasks in strict adherence to SOPs
Maintain classification accuracy across object types and categories
Meet or exceed defined benchmarks for:
Productivity
Quality
Accuracy
Sustain consistency in output with minimal supervision
Issue Identification & Continuous Improvement
Identify recurring annotation errors or tool-related issues
Escalate quality risks or inconsistencies in labeling standards
Suggest improvements to tools taxonomy or workflow
Communication & Collaboration
Communicate effectively with peers QA teams and stakeholders in English
Document issues clearly and accurately
Success Profile
High attention to detail
Strong spatial and logical reasoning ability
Ability to sustain accuracy in repetitive workflows
Foundational understanding of quality control
Ability to identify misclassification and segmentation inconsistencies
Qualifications :
Education Requirements
Diploma or higher qualification in a relevant field such as:
Computer Science
Information Technology
Engineering (Electrical Computer Geospatial or related)
Data Science
Geospatial Studies
Or equivalent technical discipline
Technical Competencies
LiDAR & Segmentation Skills
Working knowledge of 2D LiDAR annotation
Working knowledge of 3D point cloud annotation
Systems & Communication
Proficient working knowledge of a computer/laptop
Strong English reading comprehension
Ability to write clear and accurate English
Ability to interpret and execute complex SOP documentation
Ability to perform basic object segmentation and classification
Understanding of bounding boxes cuboids and object tagging principles
Ability to follow annotation taxonomies and ontology guidelines accurately
Additional Information :
- Familiarity with annotation tools such as CVAT SuperAnnotate and Labelbox.
- Understanding of ML metrics data quality principles and AV/ADAS ecosystems.
Remote Work :
Yes
Employment Type :
Contract
Key Skills
- Forklift
- Calipers
- Basic Math
- Heavy Equipment Operation
- Math
- Packaging
- Mechanical Knowledge
- Paving
- Fireworks
- Clamp Truck
- Excavator
- Manufacturing
About Company
Digital Divide Data (DDD) is a US-based , mission-driven enterprise with the goal of using technology and digital skills to bridge the divide between economically and socially marginalized youth and employment opportunities that lead to a sustainable and viable future. DDD identifies ... View more
