About the Company
Siemens is a global powerhouse focusing on electrification, automation, and digitalization. As a leading technology company, we are at the forefront of innovation, developing solutions that power industries, transform cities, and create a more sustainable future. Our commitment to cutting-edge research and development extends to robotics and artificial intelligence, where we are shaping the next generation of intelligent systems.
Job Description
We are seeking a detail-oriented and meticulous Robotic Sensor Data Labeler to join our remote team. In this critical role, you will be responsible for accurately annotating and categorizing vast amounts of sensor data collected from various robotic systems. This data, including lidar, camera, and radar outputs, is essential for training and validating our advanced machine learning models, enabling our robots to perceive and interact with their environments more effectively. This is a technical IT task requiring precision, adherence to guidelines, and a keen eye for detail.
Key Responsibilities
- Precisely annotate and label robotic sensor data (e.g., lidar point clouds, camera images, radar returns) according to predefined guidelines and taxonomies.
- Identify and categorize objects, features, and environmental elements within complex datasets.
- Perform quality control checks on labeled data to ensure accuracy and consistency.
- Collaborate with engineering and AI research teams to clarify labeling instructions and improve data annotation processes.
- Provide feedback on labeling tools and workflows to enhance efficiency and effectiveness.
- Maintain strict confidentiality and data security protocols.
Required Skills
- Exceptional attention to detail and precision.
- Strong analytical and problem-solving skills.
- Proficiency in using computer applications and learning new software quickly.
- Ability to work independently and manage time effectively in a remote setting.
- Excellent communication skills, both written and verbal.
- Basic understanding of sensor data concepts (e.g., depth, color, spatial relationships).
Preferred Qualifications
- Prior experience with data labeling, annotation, or data entry for AI/ML projects.
- Familiarity with robotic systems, computer vision, or machine learning concepts.
- Experience with specific data annotation tools (e.g., Labelbox, V7, CVAT).
- Technical degree or coursework in a related field (e.g., IT, Computer Science, Engineering).
Perks & Benefits
- Competitive hourly pay.
- Comprehensive health, dental, and vision insurance.
- Paid time off and holidays.
- 401(k) retirement plan with company match.
- Opportunities for professional growth and skill development.
- Flexible 100% remote work environment.
How to Apply
If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:
- An up-to-date Resume or CV
- A brief cover letter summarizing your experience and motivation
Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.
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