ADASTEC delivers SAE Level-4 Automated Driving Software Platform for commercial vehicles to enable OEMs to develop modern, automated, shared, and connected commercial vehicles. ADASTEC flowride.ai SAE Level-4 Automated Driving Software Platform integrated buses are on public roads in 5 countries in Europe & North America.

flowride.ai is designed with the fusion of different high-precision sensors available in the global market and complies with safety standards and regulations.

ADASTEC has an HQ and operation office in Michigan, USA, an EU Operations office in the Netherlands, and an R&D Office in Turkey. For more information, visit www.adastec.com

Role Description:

We are looking for AI Data Annotators to join our Perception & Prediction (PnP) team.

We are seeking a highly detail-oriented AI Data Annotator to join our team. This role is critical in building high-quality datasets that power our machine learning and computer vision models. You will design, implement, and maintain labeling pipelines, ensure data accuracy, and collaborate closely with ML engineers and researchers to define annotation standards that directly impact model performance.

Qualifications

• Develop, maintain, and optimize data labeling pipelines for image and point cloud data.
• Define annotation guidelines and quality metrics in collaboration with other team members.
• Work with internal tools or third-party labeling platforms to manage labeling tasks and workflows.
• Automate data preprocessing, cleaning, and validation to improve dataset reliability.
• Build quality assurance (QA) checks to detect errors, inconsistencies, or bias in labeled data.
• Collaborate with ML engineers to integrate datasets into training pipelines.
• Monitor dataset health, versioning, and scalability for large-scale AI projects.
• Good understanding of software development methodologies and best practices
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration skills.
• Bachelor's degree in Robotics, Computer Science, or a related field.