Video Annotation Specialist (Remote)

Hire Feed; Pakistan; On-site; PKR 11,108,000 - 19,994,000; Full time

Job summary

Hire Feed is seeking a Video Annotation Specialist (Remote) to join our AI data team. You will label video content to train computer vision models, using tools like CVAT or Labelbox, and work fully remotely.

You will annotate frames with bounding boxes, polygons, and key points, follow precise guidelines, and ensure consistency across datasets while collaborating with AI teams to improve model performance. This role offers a remote, independent work setup with global clients in technology and

Qualifications

• Proficiency in following structured video annotation guidelines.
• Attention to detail and consistency across datasets.
• Experience or familiarity with computer vision concepts is preferred.

Responsibilities

• Annotate video frames with bounding boxes, polygons, or key points.
• Ensure high-quality annotations by following detailed guidelines.
• Review and validate annotated content to meet accuracy standards.
• Collaborate with AI teams to refine annotation processes.

Skills

Attention to detail

Ability to work independently remotely

Structured annotation guidelines

Tools

CVAT

Labelbox

Job description

• Role: Video Annotation Specialist (Remote)
• Location: Remote (Work from Anywhere)

Role Overview:

We are hiring for one of our clients, seeking a Video Annotation Expert to work on a full-time basis. The role involves labeling and annotating video content to improve machine learning models. Your work will directly enhance the accuracy of AI systems used in [industry-specific context].

Key Responsibilities:

• Annotate video frames with precise bounding boxes, polygons, or key points to train computer vision models.
• Ensure high-quality annotations by following detailed guidelines and maintaining consistency across datasets.
• Review and validate annotated content to meet strict accuracy standards and project requirements.
• Collaborate with AI teams to refine annotation processes and improve model performance.
• Maintain organized records of annotated data, including metadata and version control.

Required Skills & Qualifications:

• Proficiency in video annotation tools such as CVAT, Labelbox, or similar platforms.
• Attention to detail and ability to follow structured annotation guidelines.
• Familiarity with computer vision concepts and data labeling best practices.
• Experience with image or video processing software is preferred.
• Ability to work independently with minimal supervision in a remote setting.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet | Data Infrastructure and Analytics | IT Services and IT Consulting industry, contributing to the development of cutting‑edge AI applications. The project involves annotating diverse video datasets to support advancements in [specific use case, e.g., autonomous vehicles, surveillance, or content moderation].

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.