Remote Video Annotation Expert

HUMAN-AI-Z Nexus Technology; Dubai; On-site; AED 329,000 - 405,000; Full time

Job summary

HUMAN-AI-Z Nexus Technology is seeking a Video Annotation Specialist to work remotely on a contract basis. The role focuses on annotating video data to improve computer vision models, collaborating with AI engineers and QA teams to ensure high-quality labeled datasets.

Responsibilities include labeling with bounding boxes, polygons, and segmentation masks, following strict guidelines, and maintaining thorough documentation of processes for project requirements and metrics.

Qualifications

• Experience in video annotation or image labeling for computer vision projects.
• Proficiency in annotation tools such as Labelbox, CVAT, or similar platforms.
• Attention to detail with the ability to follow complex annotation guidelines accurately.
• Familiarity with machine learning concepts and data labeling best practices.
• Strong time management skills to meet project deadlines and deliver high-quality outputs.

Responsibilities

• Annotate video frames with bounding boxes, polygons, and semantic segmentation masks to identify objects, actions, and attributes.
• Ensure annotation accuracy and consistency by following detailed guidelines and quality control processes.
• Collaborate with AI engineers to refine annotation guidelines and improve dataset quality for model training.
• Verify and validate annotated data to meet project-specific requirements and performance metrics.
• Document annotation processes and report inconsistencies or challenges encountered during labeling.

Skills

Video annotation

Labeling tools

Attention to detail

ML concepts familiarity

Time management

Tools

Labelbox

CVAT

Job description

HUMAN-AI-Z Nexus Technology is seeking a Video Annotation Specialist to work remotely on a contract basis. The role focuses on annotating video data to improve computer vision models, collaborating with AI engineers and QA teams to ensure high-quality labeled datasets.

Responsibilities include labeling with bounding boxes, polygons, and segmentation masks, following strict guidelines, and maintaining thorough documentation of processes for project requirements and metrics.