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- Tasks: Label and tag data for AI training, ensuring accuracy and quality.
- Company: Join a forward-thinking team in the tech and AI space.
- Benefits: Remote work, flexible hours, and comprehensive training provided.
- Why this job: Kickstart your career in tech with real AI projects and supportive guidance.
- Qualifications: Attention to detail and basic computer skills; no experience needed.
- Other info: Perfect for students, graduates, or anyone looking to change careers.
The predicted salary is between 22000 - 28000 £ per year.
Location: Remote – United Kingdom
Salary: £22,000 – £28,000 per year
Employment Type: Full-Time | Remote
About the Role
One of our clients is looking for a Data Annotation Specialist to support machine learning development by labeling and tagging data for AI training. This remote-friendly role is perfect for detail-oriented individuals looking to start or grow their career in tech and AI.
Key Responsibilities
- Label text, image, or audio data with accuracy
- Follow annotation guidelines for each project
- Work with tools for data tagging and validation
- Report inconsistencies and help improve data quality
- Support researchers and engineers in AI training
What We’re Looking For
- Excellent attention to detail
- Basic computer skills and fast learning ability
- Interest in technology or artificial intelligence
- No experience required – training provided
Why Join Us?
- Remote job with flexible hours
- Entry-level path into tech and data science
- Training and guidance from a supportive team
- Opportunity to work on real AI projects
- Great for students, graduates, or career changers
Data Annotation Specialist in London employer: Apply4U | Job search & Recruitment Platform
Contact Detail:
Apply4U | Job search & Recruitment Platform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotation Specialist in London
✨Tip Number 1
Network like a pro! Reach out to friends, family, or even former colleagues who might know someone in the tech or AI field. A personal connection can often get your foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any relevant projects or experiences, even if they're just personal ones. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by researching common questions for data annotation roles. Practice your answers and think about how your attention to detail can shine through in your responses.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Annotation Specialist role, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Annotation Specialist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Annotation Specialist role. Highlight any relevant skills or experiences, even if they’re from different fields. We want to see how your unique background can contribute to our team!
Show Your Attention to Detail: Since this role requires excellent attention to detail, make sure your application is free from typos and errors. We appreciate a polished application that reflects your ability to follow guidelines and maintain quality.
Express Your Interest in Tech: Let us know why you’re interested in technology and AI! Share any personal projects, courses, or experiences that sparked your interest. We love seeing passion for the field, even if you’re just starting out.
Apply Through Our Website: For the best chance of success, apply directly through our website. It’s super easy and ensures your application gets to the right people. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Apply4U | Job search & Recruitment Platform
✨Know Your Role
Before the interview, make sure you understand what a Data Annotation Specialist does. Familiarise yourself with the key responsibilities like labelling data and following annotation guidelines. This will help you answer questions confidently and show your genuine interest in the role.
✨Show Off Your Attention to Detail
Since this role requires excellent attention to detail, prepare examples from your past experiences where you've demonstrated this skill. Whether it's a project at school or a personal endeavour, be ready to discuss how you ensured accuracy and quality in your work.
✨Brush Up on Tech Basics
Even if you don’t have extensive tech experience, having a basic understanding of computer skills and AI concepts can set you apart. Consider doing a bit of research on data annotation tools and machine learning to impress your interviewers with your initiative.
✨Ask Thoughtful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the training process, the types of projects you'll be working on, or how the team collaborates. This shows that you're engaged and eager to learn more about the company and the role.
