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- Tasks: Support AI model training by annotating and maintaining high-quality datasets.
- Company: Leading company in AI research with a focus on innovation.
- Benefits: Gain hands-on experience, flexible hours, and mentorship from industry experts.
- Why this job: Join a cutting-edge team and contribute to the future of AI technology.
- Qualifications: Detail-oriented students pursuing a degree, available at least 3 days a week.
- Other info: 4-6 month internship with opportunities for growth and learning.
The predicted salary is between 1600 - 1600 £ per month.
A leading company in AI research is seeking a Data Annotation Intern to support the development of high-quality datasets for AI model training and validation. The intern will be involved in data annotation tasks, quality checks, and dataset maintenance. Ideal candidates are detail-oriented and pursuing a degree. This internship lasts 4-6 months and requires availability of at least 3 working days per week.
AI Data Annotation Intern - Research & Datasets in London employer: DNV Germany Holding GmbH
Contact Detail:
DNV Germany Holding GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Annotation Intern - Research & Datasets in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at events. A friendly chat can open doors and give you insights that might just land you that internship.
✨Tip Number 2
Show off your skills! If you've done any relevant projects or coursework, be ready to discuss them in detail. We want to see your passion for data annotation and how you can contribute to our team.
✨Tip Number 3
Prepare for the interview! Research common questions related to data annotation and AI datasets. Practising your answers will help you feel more confident and make a great impression.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Data Annotation Intern - Research & Datasets in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant experience or skills related to data annotation and AI. We want to see how your background aligns with the role, so don’t be shy about showcasing your detail-oriented nature!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how this internship fits into your career goals. We love seeing enthusiasm and a genuine interest in the field.
Showcase Your Attention to Detail: Since the role requires a keen eye for detail, consider including examples of past work where you’ve demonstrated this skill. Whether it’s a project from uni or a personal endeavour, we want to know how you ensure quality in your work.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and makes sure your application gets the attention it deserves!
How to prepare for a job interview at DNV Germany Holding GmbH
✨Know Your AI Basics
Brush up on your understanding of AI and data annotation. Familiarise yourself with common terms and concepts, as this will show your genuine interest in the field and help you engage in meaningful conversations during the interview.
✨Showcase Your Attention to Detail
Since the role requires a detail-oriented approach, prepare examples from your studies or previous experiences where you demonstrated meticulousness. Highlight any projects where accuracy was crucial, as this will resonate well with the interviewers.
✨Prepare Questions About the Role
Think of insightful questions to ask about the internship. Inquire about the types of datasets you'll be working with or the tools used for annotation. This not only shows your enthusiasm but also helps you gauge if the role aligns with your interests.
✨Be Ready to Discuss Your Availability
Since the internship requires at least 3 working days per week, be clear about your availability. If you have any commitments, mention how you plan to balance them with the internship. This demonstrates your organisational skills and commitment to the role.