Codefeast
Website:
codefeast.in
Job details:
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)
- Stable 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.
Click on Apply to know more.
