Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Annotate diverse data types like text, audio, and video with precision.
- Company: Leading AI company focused on innovation and quality.
- Benefits: Entry-level role with fixed-term contract and potential for growth.
- Why this job: Perfect for students or first-time job seekers looking to enter the tech field.
- Qualifications: Strong attention to detail; no prior experience needed.
- Other info: Join a dynamic team committed to data accuracy and quality.
The predicted salary is between 28800 - 48000 £ per year.
A leading AI company is seeking an entry-level Annotator for an onsite role in Cambridge. You will be responsible for performing data annotation across various content types, including text, audio, and video. The position requires strong attention to detail and the ability to follow structured processes. No previous experience is necessary, making it ideal for students or first-time job seekers. This role is on a fixed-term contract basis, promoting a strong commitment to data accuracy and quality.
Onsite Data Annotator – Multimodal (Cambridge) employer: Appen
Contact Detail:
Appen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Onsite Data Annotator – Multimodal (Cambridge)
✨Tip Number 1
Get familiar with the company and its projects! Research what they do in AI and how data annotation fits into their work. This will help you stand out during interviews and show that you're genuinely interested.
✨Tip Number 2
Practice your attention to detail! Since this role requires accuracy, try doing some mock annotation tasks at home. It’ll not only boost your confidence but also give you a taste of what the job entails.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend local events. A friendly chat can sometimes lead to insider tips or even a referral, which can be super helpful in landing the job.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows that you're keen on joining our team. Plus, keep an eye on our careers page for any updates or new roles!
We think you need these skills to ace Onsite Data Annotator – Multimodal (Cambridge)
Some tips for your application 🫡
Show Your Attention to Detail: In your application, make sure to highlight any experiences or skills that demonstrate your attention to detail. We want to see that you can follow structured processes, so don’t be shy about sharing examples!
Tailor Your Application: Take a moment to customise your application for the Onsite Data Annotator role. Mention how your skills align with the job description and why you're excited about working with us at StudySmarter. It shows you care!
Keep It Clear and Concise: When writing your application, keep your language clear and to the point. We appreciate straightforward communication, so avoid fluff and get straight to what makes you a great fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at Appen
✨Know Your Stuff
Familiarise yourself with the basics of data annotation and the types of content you'll be working with, like text, audio, and video. This shows your enthusiasm for the role and helps you answer questions more confidently.
✨Attention to Detail is Key
Since the job requires strong attention to detail, prepare examples from your studies or previous experiences where you demonstrated this skill. It could be a project where you had to follow strict guidelines or ensure accuracy in your work.
✨Structured Processes Matter
Understand the importance of following structured processes in data annotation. Be ready to discuss how you approach tasks methodically, perhaps by sharing a time when you successfully completed a project by sticking to a plan.
✨Ask Smart Questions
Prepare thoughtful questions about the company’s data annotation processes or the tools they use. This not only shows your interest but also gives you insight into what the job will entail and how you can excel in it.