Job Title: Data Annotation Associate (Image & Video Annotation)

Location: Remote / Work from Home Experience: Freshers & Experienced Candidates Welcome About the Role

We are looking for dedicated and detail-oriented Data Annotation Associates to join our AI Data team. You will be responsible for annotating images and videos with high accuracy to help train cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) models.

This is an excellent opportunity for students, fresh graduates, and candidates looking to build a career in the AI and Data Annotation industry.

Roles & Responsibilities

Annotate images and video frames as per the provided guidelines.

Draw accurate bounding boxes around objects.

Ensure every annotation meets the required quality standards.

Follow annotation instructions precisely.

Maintain consistency and accuracy throughout the project.

Complete assigned daily targets within the stipulated timelines.

Collaborate with the Quality and Operations teams to resolve annotation-related issues.

Sample Annotation

Guidelines

Please refer to the sample annotation guidelines below to understand the nature of the work:

https://www.figma.com/proto/BnVP7Agud5gqD3IF82vmFv/Traffic?node-id=176-691&t;=tu2Ef6Vj8UrkMd6m-1&scaling;=scale-down&content-scaling;=fixed&page-id;=0%3A1&starting-point-node-id;=22%3A134

Note: Each annotation typically takes approximately 30 seconds.

Daily Productivity

Expected productivity: Approximately 1,000 annotations per day or 2 hours of annotated approved recording/day

Quality is equally important as productivity.

Eligibility





Candidates from the following educational backgrounds are eligible:

1st Year Students

2nd Year Students

3rd Year Students

Final Year Students

Fresh Graduates / Pass-outs Preferred Educational Background

Candidates from technical backgrounds will be preferred

Skills Required

Excellent written English

Good spoken English

Strong grammar and sentence formation

Ability to write with minimal or no grammatical and punctuation errors

High attention to detail

Ability to follow detailed instructions

Basic computer proficiency

Requirements

Own Laptop (Mandatory)

Secure Internet Connection

Immediate Joining

Ability to work Monday to Saturday

9 Hours per Day

Dedicated and disciplined work ethic

Selection Process

One Interview Round

Immediate Offer for Selected Candidates

If you're detail-oriented, eager to work on real-world AI projects, and ready to build a career in the growing field of Artificial Intelligence, we'd love to hear from you.

Sample Video Annotation Task

Video -

Annotations

1e79caa8-f125-41bb-a344-c876a68e9733.mp4

Start Time

End Time

Annotation

00:00

00:05

The camera wearer uses a flat trowel to spread and level wet cement along the curved edge of a circular concrete structure.

00:05

00:10





The camera wearer continues smoothing the concrete surface with short, controlled strokes while removing uneven material.

00:10

00:15

The camera wearer scrapes excess cement from the surface and redistributes it to low areas using the trowel.

00:15

00:20

The camera wearer maintains the curved edge while leveling the concrete and smoothing the finish around the perimeter.

00:20

00:25

The camera wearer moves toward another section of the circular structure, briefly changing position before resuming work.

00:25

00:30

The camera wearer resumes smoothing a fresh section of wet concrete, applying even pressure with the trowel to create a uniform surface.

00:30

00:35

The camera wearer continues refining the concrete finish by spreading material evenly and eliminating visible ridges.

00:35

00:40

The camera wearer makes repeated finishing strokes across the concrete surface, improving the smoothness and consistency of the texture.

00:40

00:45

The camera wearer reaches farther across the structure to smooth a section near the opposite edge while maintaining the circular contour.

00:45

00:50

The camera wearer shifts position and continues finishing the concrete, ensuring the edge remains level and continuous.

00:50

00:55

The camera wearer scrapes additional cement from the side and spreads it across an uncovered portion of the surface.

00:55

01:00

The camera wearer performs final smoothing strokes over the recently filled area, creating a more even and consistent concrete finish.

📌 Data Annotator (Image and Video Annotation) (India)
🏢 Codefeast
📍 India