Remote AI Trainer & Data Annotator - Part-Time

Remote AI Trainer & Data Annotator - Part-Time

Part-Time 17 - 22 £ / hour (est.) No working from home possible
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At a Glance

  • Tasks: Review and label data for exciting AI projects while following specific guidelines.
  • Company: Toloka Annotators, a leader in AI project collaboration.
  • Benefits: Flexible hours, competitive pay up to $22 per hour, and valuable experience.
  • Other info: Perfect for students seeking part-time work with flexible schedules.
  • Why this job: Shape the future of AI and gain hands-on experience in a booming field.
  • Qualifications: Bachelor's degree, advanced English skills, and a passion for technology.

The predicted salary is between 17 - 22 £ per hour.

Toloka Annotators is seeking freelance Annotators to participate in AI projects based in the United Kingdom. The role involves reviewing data and labeling content under specific guidelines.

Candidates should have:

  • A Bachelor's degree
  • Advanced English skills
  • A keen interest in technology

This project-based work offers flexibility and pays up to $22 per hour. Gain experience in the AI field and influence the development of future models.

Remote AI Trainer & Data Annotator - Part-Time employer: Toloka Annotators

Toloka Annotators is an excellent employer for those seeking meaningful and flexible work in the AI field. With competitive pay of up to $22 per hour, a supportive work culture that values innovation, and opportunities for professional growth, employees can make a significant impact on the development of future AI models while enjoying the benefits of remote work in the United Kingdom.

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Contact Details:

Toloka Annotators Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote AI Trainer & Data Annotator - Part-Time

Tip Number 1

Network like a pro! Reach out to folks in the AI field on LinkedIn or join relevant online communities. We can help you connect with others who might know about opportunities that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing any relevant projects or experiences you've had. This is your chance to shine and demonstrate your keen interest in technology, which is exactly what they're looking for.

Tip Number 3

Prepare for interviews by brushing up on common questions related to data annotation and AI. We suggest practising with a friend or using mock interview platforms to build your confidence and nail those responses.

Tip Number 4

Don't forget to apply through our website! It’s super easy and gives you a direct line to the hiring team. Plus, we’re always on the lookout for passionate individuals like you to join our projects.

We think you need these skills to ace Remote AI Trainer & Data Annotator - Part-Time

Data Review
Content Labeling
Attention to Detail
Advanced English Skills
Interest in Technology
Flexibility
Experience in AI

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your Bachelor's degree and advanced English skills in your application. We want to see how your background makes you a great fit for the role!

Be Specific About Your Interest:Let us know why you're keen on technology and AI. Share any relevant experiences or projects that showcase your passion for this field. It’ll help us see your enthusiasm!

Follow the Guidelines:When labelling content, pay close attention to the specific guidelines provided. In your application, mention any experience you have with following detailed instructions—this is key for the role!

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 don’t miss out on any important updates!

How to prepare for a job interview at Toloka Annotators

Know Your AI Basics

Brush up on your understanding of AI concepts and terminology. Since the role involves working with AI projects, being able to discuss relevant topics will show your enthusiasm and knowledge in the field.

Showcase Your Attention to Detail

As a data annotator, precision is key. Prepare examples from your past experiences where you demonstrated strong attention to detail, especially in tasks that required careful review and labelling.

Demonstrate Your Flexibility

This role offers flexibility, so be ready to discuss how you manage your time effectively. Share strategies you use to balance multiple projects or deadlines, highlighting your ability to adapt to changing circumstances.

Prepare Questions About the Role

Engage with the interviewer by preparing thoughtful questions about the projects you'll be working on. This shows your genuine interest in the position and helps you understand how you can contribute to their goals.