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- Tasks: Annotate datasets and collaborate with data scientists to enhance AI solutions.
- Company: Join a forward-thinking company in the heart of London.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for skill development.
- Why this job: Be at the forefront of AI innovation and make a tangible impact.
- Qualifications: Experience in data annotation and familiarity with Python preferred.
- Other info: Dynamic role with potential for growth in the tech industry.
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 Slough employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotator in Slough
✨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! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Annotator in Slough
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 Analytical Skills: In your application, give examples of how you've identified patterns or improved processes in past roles. We love seeing those analytical skills in action!
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you're a great fit for the Data Annotator 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 get you into our system quickly.
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 hands-on experience with these platforms 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 data processing examples can highlight your technical capabilities.
✨Collaboration is Key
Be ready to talk about your experience working with cross-functional teams. Highlighting your ability to collaborate with data scientists and engineers will show that you can thrive in a team-oriented environment.
