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- Tasks: Annotate and analyse data to support AI and machine learning projects.
- Company: Leading tech firm with a focus on innovation and collaboration.
- 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: Opportunity to work closely with data scientists and engineers.
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) in England 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) in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨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 past projects.
✨Tip Number 3
Prepare for interviews by brushing up on AI and machine learning concepts. We want to see that you’re not just a data annotator but also someone who understands the bigger picture and can engage in meaningful discussions with data scientists.
✨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 directly with us.
We think you need these skills to ace AI Data Annotator & Analyst — Hybrid London (Contract) in England
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. This could be a project where your careful annotation improved data quality or led to better outcomes.
✨Showcase Your Experience
With 2+ years of experience required, be ready to discuss specific projects you've worked on. Talk about the datasets you’ve annotated, the challenges you faced, and how you collaborated with data scientists and engineers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI and machine learning initiatives. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
