Job Title: Data Annotation Trainee

About the Role:

We are looking for enthusiastic and detail-oriented individuals to join our Data Annotation team as Data Annotation Trainees. In this role, you will be trained to ensure high-quality data labeling for various AI/ML projects. You will gain practical experience with data annotation tools and workflows across multiple domains such as image, video, audio, text, and 3D data.

Key Responsibilities:

- Perform and learn data annotation tasks for Image, Video, Text, Audio, and 3D datasets.
- Understand and apply different annotation techniques (bounding box, polygon, segmentation, transcription, etc.).
- Assist in documentation and maintenance of annotation guidelines.
- Support the team in quality checks and accuracy improvements.
- Collaborate with Team Leads, SMEs, and Project Managers for project execution.
- Identify and report edge cases or inconsistencies during annotation.
- Stay updated with AI/ML trends and new annotation tools.

Annotation Areas You’ll Learn:

- Image & Video: Bounding Box, Polygon, Semantic Segmentation, Keypoints
- 3D Point Cloud: LiDAR Annotation, 3D Cuboids, Semantic Segmentation
- Audio: Speech & Noise Labelling, Transcription
- Text: NER,



Sentiment Analysis, Intent Detection
- Generative AI: Prompt generation and evaluation tasks

Tools Exposure: CVAT, Amazon SageMaker, LabelStudio, SuperAnnotate, Roboflow, Loft, Cogito, Slicer3D, Praat, and more.

Qualifications:

- Bachelor’s degree in Computer Science, Data Science, Engineering, AI/ML, or related field.
- 0–6month of experience in data annotation or related AI/ML projects (internship experience is a plus).
- Basic understanding of AI/ML concepts or a strong interest to learn.
- Strong attention to detail, analytical thinking, and teamwork.

Why Join Us:

- Learn directly from industry experts and Subject Matter Experts (SMEs).
- Work on real-world AI/ML datasets and projects.
- Build a strong foundation in AI Data Operations.
- Excellent opportunity for career growth and skill development.

To Apply: Interested candidates can share their resume at [email protected]

Pay: ₹10,000.00 per month

Benefits

- Cell phone reimbursement
- Adaptable schedule
- Food provided
- Leave encashment
- Paid sick time
- Provident Fund
- Work from home

Work Location: In person

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