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- Tasks: Join our team to annotate data for cutting-edge AI models and ensure high-quality datasets.
- Company: DNV, a leader in AI research with a focus on real-world applications.
- Benefits: Gain hands-on experience, structured training, and exposure to industry-scale AI workflows.
- Why this job: Make an impact in AI development while working in a diverse and innovative environment.
- Qualifications: Currently pursuing a degree, detail-oriented, and good communication skills.
- Other info: Internship lasts 4-6 months; flexible schedule with at least 3 days per week.
The predicted salary is between 500 - 1500 £ per month.
At DNV’s Artificial Intelligence Research Center in Shanghai, our research spans multiple domains, including IoT, computer vision, large language models, foundation models, generative AI, and AI agents. We are dedicated to advancing AI technologies that support real-world applications across various DNV business segments, including maritime, energy systems, digital assurance, and more.
As a Data Annotation Intern, you will join the research team supporting the development of high-quality datasets for AI model training and validation. Your key responsibilities will include:
- Completing data annotation tasks for images, text, and other data types according to project requirements.
- Conducting quality checks and organizing annotated data to ensure accuracy and consistency.
- Assisting the team in maintaining and updating datasets to support ongoing AI research and development.
Structured training and guidance from experienced data operations specialists and AI team members will be provided, along with hands-on experience with industry-scale data annotation workflows across maritime, energy, and digital assurance domains. You will also gain exposure to AI/ML data pipelines, including quality control, labeling standards, and best practices.
Internship Duration: 4-6 months
Availability: At least 3 working days per week
We are looking for a motivated and detail-oriented individual who is interested in data annotation and AI development. You should meet the following qualifications:
- Currently pursuing a bachelor's degree or higher (major not restricted).
- Responsible, patient, and detail-oriented with a strong sense of accountability.
- Good command of understanding and strong communication skills.
- Prior experience in data annotation or related internships is a plus.
- Basic understanding of computer vision, deep learning, or related fields is a plus.
Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.
AI reseacher Intern 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 reseacher Intern in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those at DNV. A friendly chat can open doors and give you insights that a job description can't.
✨Tip Number 2
Show off your skills! If you've done any projects related to data annotation or AI, make sure to highlight them in conversations. Practical examples can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of computer vision and deep learning. Being able to discuss these topics confidently will show you're serious about the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI reseacher Intern in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Research Intern role. Highlight any relevant coursework, projects, or internships that showcase your understanding of data annotation and AI development.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and data annotation. Share specific examples of your experience and how they relate to the responsibilities outlined in the job description.
Showcase Your Attention to Detail: Since the role requires a detail-oriented approach, consider including examples in your application that demonstrate your ability to maintain accuracy and consistency in your work. This could be from previous internships or academic projects.
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to our recruitment team!
How to prepare for a job interview at DNV Germany Holding GmbH
✨Know Your AI Basics
Brush up on your understanding of AI concepts, especially in areas like computer vision and deep learning. Being able to discuss these topics confidently will show that you're genuinely interested in the field and can contribute to the team.
✨Showcase Your Attention to Detail
Since the role involves data annotation, it's crucial to demonstrate your detail-oriented nature. Prepare examples from your past experiences where you successfully managed tasks requiring precision and accuracy.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's projects and the specific challenges they face in data annotation. This not only shows your enthusiasm but also helps you understand how you can fit into their workflow.
✨Highlight Relevant Experience
If you've had any prior internships or projects related to data annotation, make sure to highlight them. Even if your experience is limited, discussing your willingness to learn and adapt can leave a positive impression.