Job Description

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"

Apply Now