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- Tasks: Annotate video clips for AI training, ensuring accuracy and attention to detail.
- Company: Join a leading AI lab at the forefront of technology.
- Benefits: Gain valuable experience in AI, with flexible working hours.
- Why this job: Contribute to cutting-edge language model development while honing your skills.
- Qualifications: Strong English skills and a keen eye for detail required.
- Other info: Fast-paced environment perfect for independent thinkers.
The predicted salary is between 28800 - 48000 £ per year.
A leading AI lab is seeking candidates for a role focused on video annotation. The position requires strong English proficiency and excellent attention to detail as you review and annotate video clips according to client guidelines.
Ideal candidates will have a background from a top 50 U.S. institution, along with the ability to work independently on repetitive tasks. This is a fast-paced opportunity that offers a chance to contribute to advanced language model development.
Video Data Annotator for AI Training in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Video Data Annotator for AI Training in London
✨Tip Number 1
Make sure to showcase your attention to detail during interviews. We recommend preparing examples of how you've successfully handled repetitive tasks in the past, as this will demonstrate your ability to thrive in a fast-paced environment.
✨Tip Number 2
Brush up on your English proficiency! Since strong language skills are crucial for this role, we suggest practising your communication skills and being ready to discuss any relevant experiences that highlight your command of the language.
✨Tip Number 3
Don’t forget to research the company and its projects! Understanding their work in AI and video annotation will not only impress them but also help you tailor your responses to show how you can contribute to their goals.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for roles like this one. Plus, it shows you're proactive and genuinely interested in joining the team.
We think you need these skills to ace Video Data Annotator for AI Training in London
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're writing your application, make sure to highlight any experiences where you've had to pay close attention to detail. We want to see that you can spot the little things, especially when it comes to video annotation!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the role of Video Data Annotator. Mention how your background aligns with the job description and why you’re excited about contributing to AI training.
Use Clear and Concise Language: Since strong English proficiency is key for this role, make sure your application is clear and easy to read. Avoid jargon and keep your sentences straightforward. We appreciate clarity as much as you do!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Stuff
Before the interview, make sure you understand the basics of video annotation and AI training. Brush up on relevant terminology and processes so you can speak confidently about how your skills align with the role.
✨Show Off Your Attention to Detail
Since this role requires excellent attention to detail, prepare examples from your past experiences where you demonstrated this skill. Be ready to discuss how you approach repetitive tasks without losing focus.
✨Practice Your English Proficiency
As strong English proficiency is a must, consider doing a mock interview with a friend or using online resources. This will help you articulate your thoughts clearly and effectively during the actual interview.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s projects or the specifics of the video annotation process. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
