Data Annotation

About the internship The role entitles tracking, annotation, labeling, and generating prompts & contents for datasets for training the machine learning algorithms. The Data Annotation Specialist has the responsibility to create & curate sets of data specifically created for computer vision & future technologies by using a combination of tracking, annotation, labeling, and generating prompts & content on images, videos, or audio. As a member of the Data Annotation team, you will help us Annotate data for use within a larger machine learning & AI/ML framework. You will be part of a great international team of scientists & professionals who bring cutting-edge technology in verticals like Autonomous Driving to the auto industry as well as working for industries like Retail, Medi-tech, Agri-tech, Gen AI, etc. that will all benefit from machine learning & ai in the near future. joining our team means playing an integral role in bettering the world with science & technology. Selected intern's day-to-day responsibilities include: 1. Accurately label and annotate data in all formats before it reaches the end customer. 2. Annotate and label 2D/3D bounding boxes for various industries. 3. Tag and track while working on sports annotation. 4. Collaborate with teammates, label images, and provide feedback to clients' engineers and data scientists to improve tools and algorithms. 5. Write content while viewing images and videos to train the next level of ChatGPT. 6. Work in a fast-paced environment that requires high accuracy, attention, and detail. Who can apply Only those candidates can apply who: 1. are available for full time (in-office) internship 2. can start the internship between 9th Dec'24 and 13th Jan'25 3. are available for duration of 2 months 4. have relevant skills and interests Our sole aim at MentorBoxx is to bridge the gap between universities & industries. We select 30 students every month to regularly interact with the right industry experts, work on live industry projects, and grasp as much industry knowledge as possible.