- Erfahrung
- 2+ Jahre
- Gehalt
- —
- Stellenangebote
- 1
- Veröffentlicht
- vor 1 Stunde
- Arbeitsmodus
- Im Büro
- Wieder aufnehmen
- Bewerbung erforderlich
Stellenbeschreibung
Job Overview
We seek experienced Computer Vision Annotators with a minimum of 2 years in image and video labeling to contribute to AI and Machine Learning initiatives. The position focuses on producing precise annotated datasets from various visual media for model training and validation in tasks like object detection, segmentation, and tracking.
Key Responsibilities
- Execute annotation tasks on images, videos, and textual data to aid AI/ML developments.
- Label objects and areas using techniques such as bounding boxes, polygons, key points, and segmentation masks.
- Conduct video annotations including tracking objects across frames, marking trajectories, selecting key frames, and labeling events or actions.
- Manage intricate annotation projects including specialized 3D LiDAR data labeling and other advanced visual annotations.
- Review and validate annotations to guarantee accuracy, uniformity, and adherence to project guidelines.
- Comply with established annotation protocols, workflows, and directions.
- Adapt to domain-specific annotation criteria and evolving guidelines.
- Work collaboratively with project managers, quality assurance, and stakeholders to address annotation challenges.
- Identify and communicate issues related to data quality, annotation consistency, and tooling.
- Maintain high precision and productivity standards while handling extensive visual datasets.
Required Skills and Qualifications
- At least 2 years of professional experience in image/video annotation or data labeling.
- Comprehensive understanding of computer vision annotation techniques.
- Proficient in various annotation methods: bounding box, polygon, semantic segmentation, object tracking, key point annotation, and event/action labeling in video.
- Familiarity with annotation tools and platforms.
- Experience with 3D LiDAR annotation is advantageous.
- Strong analytical abilities and meticulous attention to detail.
- Effective verbal and written communication skills.
- Capacity for independent work and teamwork.
Preferred Qualifications
- Prior involvement in supporting data preparation for AI/ML model training.
- Good knowledge of computer vision principles.
- Experience handling large-scale annotation assignments.
- Skill in recognizing annotation quality issues and recommending corrective measures.