Data Annotation Trainee

Job Title: Data Annotation Trainee

Experience: 0-1 Years

Location: Salem

Notice period: Immediate

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.
• 0–1 year 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 "hr@infogsolution.com"