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Data Annotator/Reviewer

  • On-site
    • Rawabi, Nablus & Hebron, Ramallah, Palestine, State of
  • Service Delivery

Job description

About ASAL:

ASAL Technologies was established in 2000 and has grown to become a leading technology company across Jordan, KSA, UAE, and Palestine. With a workforce of over 450 engineers, ASAL offers a wide range of AI agents, services and products, Software and Digital Transformation services, Engineering and R&D services. ASAL Technologies is assembling a team of PD Engineers for a high-end multinational company. The team will be working with top notch engineers in the semiconductor industry from all over the world.

 

About the Role:

ASAL Technologies is seeking to hire Data Annotators/Reviewers to support AI and machine learning projects involving point cloud annotation and data quality validation. The role involves accurately labeling 3D point cloud data using Supervisely, reviewing annotations for quality and consistency, and ensuring datasets meet project standards and client requirements.

Job Responsibilities:

  • Annotate point cloud datasets using Supervisely according to project guidelines.

  • Review and validate annotated data to ensure accuracy and consistency.

  • Perform quality assurance checks and identify labeling errors or gaps.

  • Provide feedback and corrections to improve annotation quality.

  • Follow client-defined annotation standards and best practices.

  • Support AI/ML data preparation workflows through high-quality data labeling.

  • Collaborate with annotators and reviewers to maintain project quality targets.

  • Participate in client-provided training and apply learned workflows effectively.

  • Track annotation progress and meet assigned productivity goals.

  • Maintain data integrity and ensure timely completion of assigned tasks.

  • Experience with point cloud annotation and 3D data labeling is considered a plus.

Job requirements

  • Bachelor's degree in computer science, Information Technology, Software Engineering, Data Science, Artificial Intelligence, Engineering, or any related field.

  • Experience in data annotation, data labeling, or quality review.

  • Familiarity with point cloud annotation is an advantage.

  • Strong attention to detail and ability to follow guidelines consistently.

  • Ability to work independently and meet project deadlines.

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