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- Tasks: Annotate and label data for machine learning projects from the comfort of your home.
- Company: Join a global tech company making waves in AI technology.
- Benefits: Flexible hours, competitive pay, and the freedom to work remotely.
- Why this job: Make a real impact in the AI field while enjoying a flexible lifestyle.
- Qualifications: Attention to detail and proficiency in English; experience is a bonus.
- Other info: Perfect for students or anyone seeking a side gig with growth potential.
The predicted salary is between 5 - 15 £ per hour.
A global tech company is seeking an AI Data Annotation Specialist to annotate and label data for machine learning. This freelance role offers flexible hours and allows you to work remotely up to 40 hours per week.
Candidates should have:
- Strong attention to detail
- A reliable internet connection
- Proficiency in English
Prior experience in data annotation is a plus but not mandatory. Competitive compensation ranges from $6–$18 USD per hour, reflecting the value of your contributions.
AI Data Annotation Specialist — Flexible Hours, Impact in London employer: TELUS Digital
Contact Detail:
TELUS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Annotation Specialist — Flexible Hours, Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the tech industry, especially those who work with AI and data. You never know who might have a lead on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any relevant projects or experiences, even if they’re just personal ones. This can really help us stand out when applying for roles like the AI Data Annotation Specialist.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data annotation and machine learning. We want to be ready to demonstrate our attention to detail and understanding of the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace AI Data Annotation Specialist — Flexible Hours, Impact in London
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're applying for the AI Data Annotation Specialist role, make sure to highlight your attention to detail. We want to see how you can spot the little things that matter in data annotation, so share any relevant experiences or skills that showcase this.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their applications to fit the job description. Mention your interest in machine learning and how your skills align with the role. It shows us you’re genuinely interested!
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid fluff and get straight to what makes you a great fit for the position. This will help us see your qualifications quickly!
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, you’ll find all the info you need about the role right there!
How to prepare for a job interview at TELUS Digital
✨Know Your Data
Familiarise yourself with the basics of data annotation and machine learning. Brush up on common terms and techniques used in the industry, as this will show your enthusiasm and understanding of the role.
✨Showcase Attention to Detail
During the interview, be prepared to discuss examples from your past experiences where your attention to detail made a difference. This could be in any context, not just data annotation, but it’s crucial to highlight how you ensure accuracy in your work.
✨Demonstrate Flexibility
Since this role offers flexible hours, be ready to talk about how you manage your time effectively. Share strategies you use to stay organised and meet deadlines, especially when working remotely.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and goals in AI. This shows that you’re genuinely interested in their work and helps you gauge if the company aligns with your values and career aspirations.