Remote AI Trainer & Annotator (Part-Time, Flexible) in Manchester

Remote AI Trainer & Annotator (Part-Time, Flexible) in Manchester

Manchester Part-Time 16 - 22 £ / hour (est.) No working from home possible
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At a Glance

  • Tasks: Review and label data to help train AI systems.
  • Company: Leading AI annotation company in the UK with a focus on innovation.
  • Benefits: Flexible hours, competitive pay up to $22 per hour.
  • Other info: Perfect for students seeking valuable experience in the tech industry.
  • Why this job: Contribute to groundbreaking AI advancements while enjoying part-time flexibility.
  • Qualifications: Bachelor's degree, 1 year of experience, advanced English skills (C1 or higher).

The predicted salary is between 16 - 22 £ per hour.

A leading AI annotation company in the UK is seeking freelance annotators for project-based work. This role involves reviewing and labeling various types of data to aid in AI training.

Applicants should have:

  • A Bachelor's degree
  • 1 year of experience
  • Advanced English skills (C1 or higher)

This position offers flexibility and competitive pay, reaching up to $22 per hour, while contributing to cutting-edge AI advancements.

Remote AI Trainer & Annotator (Part-Time, Flexible) in Manchester employer: Toloka Annotators

Join a pioneering AI annotation company that values flexibility and innovation, offering part-time remote roles that allow you to balance work with your personal life. With competitive pay of up to $22 per hour and opportunities for professional growth in the rapidly evolving field of artificial intelligence, this is an excellent employer for those looking to make a meaningful impact while enjoying a supportive work culture.

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Contact Details:

Toloka Annotators Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote AI Trainer & Annotator (Part-Time, Flexible) in Manchester

Tip Number 1

Network like a pro! Reach out to folks in the AI field on LinkedIn or join relevant groups. You never know who might have a lead on a project-based role that’s just right for us.

Tip Number 2

Show off your skills! Create a portfolio showcasing your previous annotation work or any relevant projects. This will help us stand out when applying for those freelance gigs.

Tip Number 3

Stay flexible and open-minded! Since this role is part-time and project-based, be ready to adapt to different tasks and timelines. It shows we’re committed and ready to jump in!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.

We think you need these skills to ace Remote AI Trainer & Annotator (Part-Time, Flexible) in Manchester

Data Annotation
Data Review
Labeling Skills
Attention to Detail
Advanced English Skills (C1 or higher)
Analytical Skills
Flexibility

Some tips for your application 🫡

Show Off Your Experience:Make sure to highlight your relevant experience in data annotation or similar roles. We want to see how your background aligns with the job, so don’t hold back on those details!

Tailor Your Application:Customise your application to fit the role. Use keywords from the job description and demonstrate how your skills match what we’re looking for. It shows us you’ve done your homework!

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you’re a great fit for the position.

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 ensures you’re considered for this exciting opportunity.

How to prepare for a job interview at Toloka Annotators

Know Your AI Basics

Before the interview, brush up on your understanding of AI and data annotation. Familiarise yourself with common terms and concepts in the field, as this will show your enthusiasm and readiness to contribute to the team.

Showcase Your Experience

Prepare specific examples from your past work that highlight your experience in data annotation or related fields. Be ready to discuss how you approached challenges and what tools you used, as this will demonstrate your practical knowledge.

Demonstrate Your English Skills

Since advanced English skills are a requirement, practice articulating your thoughts clearly and confidently. You might even want to prepare a few sentences about your background and why you're interested in the role to showcase your language proficiency.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the types of projects you’ll be working on or the team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.