Data Annotation Internship

Applications are closed for this internship. Click here to browse more internships.
Actively hiring
Data Annotation
Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
₹ 10,000 /month
APPLY BY
1 Oct' 24
Posted 2 weeks ago
Internship

About the internship

As a Data Annotation Intern, you will play a crucial role in the dataset creation process, ensuring that our machine-learning models are trained with precise and accurate data. You will work closely with our data scientists and engineers to label and tag various types of data, including images, text, audio, and video. This is a fantastic opportunity to gain hands-on experience in the field of artificial intelligence and contribute to impactful projects.

Selected intern's day-to-day responsibilities include:

1. Data Labeling and Tagging: Accurately annotate datasets by labeling and tagging images, text, audio, and video according to project requirements.
2. Quality Assurance: Perform quality checks to ensure the accuracy and consistency of annotated data, maintaining high standards for dataset integrity.
3. Collaboration: Work collaboratively with data scientists and engineers to understand annotation requirements and provide feedback for continuous improvement.
4. Documentation: Maintain detailed records of annotation processes and guidelines, contributing to the development of comprehensive documentation for future reference.
5. Innovation: Identify opportunities for process improvements and suggest innovative solutions to enhance the efficiency and accuracy of data annotation.

If you are excited about the opportunity to contribute to cutting-edge machine learning projects and gain valuable experience in data annotation, we would love to hear from you. Please submit your resume and a brief cover letter explaining your interest in the position

Skill(s) required

.NET 3ds Max Adobe Creative Suite Java Python User Interface (UI) Development
Earn certifications in these skills

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 17th Sep'24 and 22nd Oct'24

3. are available for duration of 6 months

4. are from or open to relocate to Noida and neighboring cities

5. have relevant skills and interests

Other requirements

1. Hands-On Experience: Gain practical experience in the field of machine learning and data annotation, working on real-world projects that have a significant impact.

2. Professional Development: Opportunity to learn from experienced professionals and enhance your skills in data science and artificial intelligence.

3. Innovative Environment: Be part of a dynamic and innovative team that is passionate about pushing the boundaries of technology.

4. Networking Opportunities: Connect with industry experts and build valuable relationships for your future career.

About WTVision

wTVision is a leading company providing live on-air air graphics to the leading sports and news channels in the television and the broadcast industry. We cover the premier sports events, cricket, football, badminton, tennis, etc. wTVision services premium quality is assured by the companys solid experience, counting more than 15,000 live events and a recurring presence in more than 30 countries.

Perks

Certificate Letter of recommendation 5 days a week

Number of openings

2

About WTVision

wTVision is a leading company providing live on-air air graphics to the leading sports and news channels in the television and the broadcast industry. We cover the premier sports events, cricket, football, badminton, tennis, etc. wTVision services' premium quality is assured by the company's solid experience, counting more than 15,000 live events and a recurring presence in more than 30 countries.
Activity on Internshala
Hiring since May 2024
3 opportunities posted
1 candidate hired
Sign up to continue

OR

By signing up, you agree to our Terms and Conditions.
Get govt-approved certification
Build your CV with our
Certification Courses
4- 8 weeks
600k+ learners
Explore Courses