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- Tasks: Annotate datasets and collaborate with data scientists to enhance AI solutions.
- Company: Join Expedia Group, a leader in tech innovation and travel.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for growth.
- Why this job: Be at the forefront of AI and machine learning, making a real difference.
- Qualifications: 2+ years in data annotation and familiarity with Python preferred.
- Other info: Dynamic role with a focus on collaboration and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Annotator / Data Analyst to support the development and evaluation of AI and machine learning solutions. In this role, you will be responsible for annotating datasets, ensuring data quality, and collaborating with data scientists and engineers to improve model performance.
Key Responsibilities
- Annotate and label datasets for various AI and machine learning use cases
- Ensure high-quality, consistent, and accurate annotations following defined guidelines
- Analyze annotated data to identify patterns, issues, and opportunities for improvement
- Work closely with data scientists and ML engineers to refine annotation strategies
- Use annotation tools (e.g., Label Studio or similar) to manage and review datasets
- Perform basic data processing and validation using Python and related technologies
Qualifications
- 2+ years of experience annotating datasets for AI or machine learning problems
- Hands‐on experience with annotation tools (e.g., Label Studio or similar platforms)
- Strong attention to detail and analytical skills
- Ability to work independently and collaborate within cross‐functional teams
- Some knowledge of programming languages such as Python (preferred)
- Experience with data processing technologies such as PySpark (preferred)
- Familiarity with AWS services and cloud‐based data workflows (preferred)
Data Annotator Analyst – AI / Machine Learning – Expedia Group in London employer: Atrium (EMEA)
Contact Detail:
Atrium (EMEA) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotator Analyst – AI / Machine Learning – Expedia Group in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Expedia Group or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data annotation projects or any relevant work. This is your chance to demonstrate your attention to detail and analytical prowess, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AI and machine learning. Be ready to discuss how you've used annotation tools and your experience with Python. Confidence is key, so practice makes perfect!
✨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 are proactive about their job search!
We think you need these skills to ace Data Annotator Analyst – AI / Machine Learning – Expedia Group in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Annotator Analyst role. Highlight your experience with annotation tools and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: In your cover letter, don’t just list your qualifications; showcase your analytical skills and attention to detail. Give us examples of how you've improved data quality in past roles. This will help us see your potential impact at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, so get to the point while still showing your personality!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Atrium (EMEA)
✨Know Your Tools
Familiarise yourself with annotation tools like Label Studio before the interview. Be ready to discuss your experience with these platforms and how you've used them to ensure data quality in past projects.
✨Showcase Your Analytical Skills
Prepare examples of how you've identified patterns or issues in annotated data. Highlight specific instances where your attention to detail led to improvements in model performance or data accuracy.
✨Brush Up on Python
Since some knowledge of Python is preferred, make sure you can discuss basic data processing and validation techniques. Practise explaining how you've used Python in previous roles to handle datasets.
✨Collaboration is Key
Be ready to talk about your experience working with cross-functional teams, especially data scientists and ML engineers. Share examples of how collaboration has helped refine annotation strategies and improve outcomes.
