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- Tasks: Annotate datasets and collaborate with data scientists to enhance AI solutions.
- Company: Join a forward-thinking company at the forefront of AI development.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for skill enhancement.
- Why this job: Be part of an exciting journey in AI and machine learning while working remotely.
- Qualifications: Bachelor’s degree and 2+ years of experience in data annotation required.
- Other info: Dynamic role with potential for growth in the tech industry.
The predicted salary is between 40000 - 60000 £ per year.
11 months contract/PAYE is £218.78 per day/hybrid/Onsite/London
About the Role
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 Entry Work (REMOTE JOB) in City of London employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Entry Work (REMOTE JOB) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant groups on LinkedIn, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data annotation projects or any relevant work. This can really set you apart from other candidates and give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data annotation and analysis. Practice explaining your thought process when working with datasets, as this will demonstrate your analytical skills and attention to detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Entry Work (REMOTE JOB) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Annotator / Data 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!
Show Off Your Skills: In your cover letter, don’t just list your qualifications—show us how you’ve used them in real situations. Talk about specific projects where you’ve annotated datasets or collaborated with data scientists. This helps us see your practical experience!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for your achievements and responsibilities to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, we love seeing candidates who take that extra step!
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 prepared and understand the technical requirements of the role.
✨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 your ability to contribute to improving model performance.
✨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 capability and willingness to learn.
✨Collaboration is Key
Be ready to talk about your experience working in cross-functional teams. Highlight how you've collaborated with data scientists or engineers in the past, as this role requires strong teamwork to refine annotation strategies.
