Job Description: Data Annotator (Fully Remote)

Company: Intellabel

Position: Data Annotator

Employment Type: Full-Time

Work Mode: Remote (Work From Home)

Eligibility: Freshers & Experienced Candidates Welcome

About the Role

As a Data Annotator at Intellabel, you will play a critical role in building high- quality datasets

that power next-generation AI and Computer Vision models. Your work will directly impact the

accuracy, reliability, and performance of our AI-driven platforms.

This role is ideal for individuals who are detail-oriented, process-driven, and eager to start or

grow their career in the AI/ML ecosystem.

Key Responsibilities
- Image Annotation:

Accurately label images using Bounding Box techniques across diverse datasets.
- Video Quality Assurance (QA):

Review and validate video annotations to ensure temporal accuracy and object

consistency.
- Data Validation & Audits:

Verify existing annotations against internal quality benchmarks and flag

discrepancies.
- Guideline Compliance:





Strictly follow project-specific SOPs and adapt quickly to evolving workflows.
- Productivity & Accuracy:

Achieve daily and weekly targets while maintaining high accuracy and attention to

detail.

Required Skills & Attributes
- Annotation Knowledge:

Basic understanding of image and video annotation concepts (Bounding Box

preferred).
- Attention to Detail:

Ability to identify subtle visual details and maintain consistency over extended work

periods.
- Analytical Thinking:

Strong judgment to handle ambiguous or edge-case scenarios in data.
- Process Orientation:

Comfortable working within structured workflows and following detailed

instructions.
- Communication:

Basic English proficiency to understand global project guidelines and instructions.Mandatory Shift & Work Requirements
- Rotational Shifts:

This role follows a 365-day operational model. Employees must be willing to work

rotational shifts, including night shifts, as per project requirements.
- W

📌 Data Annotator (India)
🏢 Intellabel
📍 India