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- Tasks: Annotate and analyse data to support AI and machine learning projects.
- Company: Leading technology firm with a focus on innovation.
- Benefits: Hybrid work model, skill enhancement, and contract until 2026.
- Why this job: Join a dynamic team and elevate your skills in AI development.
- Qualifications: 2+ years of data annotation experience and keen attention to detail.
- Other info: Collaborate with data scientists and engineers in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm is seeking a Data Annotator / Data Analyst to support the development and evaluation of AI and machine learning solutions. This hybrid role requires strong attention to detail and 2+ years of experience annotating datasets.
Candidates will work closely with data scientists and engineers to ensure high-quality data while utilizing tools like Label Studio. This contract position is aimed at individuals looking to enhance their skills in a dynamic setting and is expected to last until the end of 2026.
AI Data Annotator & Analyst — Hybrid London (Contract) employer: Atrium (EMEA)
Contact Detail:
Atrium (EMEA) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Annotator & Analyst — Hybrid London (Contract)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Show off your skills! If you've got experience with tools like Label Studio, make sure to highlight that in conversations. Bring examples of your work to demonstrate your attention to detail and how you’ve contributed to previous projects.
✨Tip Number 3
Prepare for the interview by brushing up on AI and machine learning concepts. We want you to feel confident discussing how data annotation impacts these technologies. The more you know, the better you'll impress the hiring team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Data Annotator & Analyst — Hybrid London (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data annotation and analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this hybrid role and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Attention to Detail: Since this role requires strong attention to detail, make sure your application is free from typos and errors. We appreciate candidates who take the time to present their best work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Atrium (EMEA)
✨Know Your Tools
Familiarise yourself with tools like Label Studio before the interview. Being able to discuss your experience with these tools will show that you're not just a candidate, but someone who can hit the ground running.
✨Highlight Attention to Detail
Since this role requires strong attention to detail, prepare examples from your past work where your meticulousness made a difference. Share specific instances where your careful annotation led to improved data quality.
✨Understand AI and Machine Learning Basics
Brush up on the fundamentals of AI and machine learning. Being able to speak knowledgeably about how data annotation fits into the larger picture of AI development will impress your interviewers.
✨Show Enthusiasm for Learning
This contract position is perfect for those looking to enhance their skills. Express your eagerness to learn and grow in a dynamic setting, and be ready to discuss how you plan to develop your expertise during the contract.
