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- Tasks: Annotate datasets and collaborate with data scientists to enhance AI solutions.
- Company: Dynamic tech company focused on AI and machine learning innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for skill development.
- Why this job: Join a cutting-edge team and contribute to the future of AI technology.
- Qualifications: Bachelor's degree and 2+ years in data annotation with strong analytical skills.
- Other info: Exciting role with potential for career growth in a fast-paced environment.
The predicted salary is between 40000 - 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
- Bachelor’s degree
- 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)
- Attention to detail and strong analytical skills
- Ability to work independently and collaborate within cross-functional teams
- Some knowledge of programming languages such as Python is preferred
- Experience with data processing technologies such as PySpark is preferred
- Familiarity with AWS services and cloud-based data workflows is preferred
Data Annotator in London employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotator in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data annotation projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data annotation scenarios. Be ready to discuss your experience with tools like Label Studio and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Annotator in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data annotation and any tools you've used, like Label Studio. We want to see how your skills match up with what we're looking for!
Show Off Your Skills: In your cover letter, don’t just list your qualifications—tell us how you’ve used them in real-world scenarios. We love seeing examples of your analytical skills and attention to detail!
Be Clear and Concise: When filling out your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Russell Tobin
✨Know Your Tools
Familiarise yourself with annotation tools like Label Studio before the interview. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare examples of how you've identified patterns or issues in datasets in your previous roles. This will demonstrate your analytical skills and attention to detail, which are crucial for a Data Annotator.
✨Brush Up on Python
Since some knowledge of Python is preferred, make sure you can discuss any relevant projects or tasks where you've used it. Even basic familiarity can set you apart from other candidates.
✨Collaborative Mindset
Be ready to talk about your experience working in cross-functional teams. Highlight how you've collaborated with data scientists or engineers to improve model performance, as teamwork is key in this role.
