AI Language Data Annotation & Localization (English)

AI Language Data Annotation & Localization (English)

Full-Time 30000 - 42000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Annotate and localise data for exciting AI projects.
  • Company: Leading global tech company shaping the future of AI.
  • Benefits: Flexible hours, skill development, and a vibrant team culture.
  • Other info: Dynamic environment with opportunities to grow your career.
  • Why this job: Be part of innovative projects that impact the future of technology.
  • Qualifications: Fluency in English and basic computer skills required.

The predicted salary is between 30000 - 42000 £ per year.

A leading global technology company is seeking a detail-oriented individual fluent in English for various linguistic projects including data categorization, annotation, and localization. Basic computer skills are necessary, and previous experience in data annotation is preferred.

Join our innovative team and contribute to shaping the future in artificial intelligence. This position offers an exciting opportunity to work with a diverse range of projects and clients, enhancing your professional skills in a dynamic environment.

AI Language Data Annotation & Localization (English) employer: Localization Academy

As a leading global technology company, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work on diverse linguistic projects that shape the future of artificial intelligence. Located in a vibrant area, our team enjoys a supportive environment that values creativity and inclusivity, making it an excellent place for those seeking meaningful and rewarding employment.

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Contact Details:

Localization Academy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Language Data Annotation & Localization (English)

Tip Number 1

Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your previous data annotation work. 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 practising common questions related to data annotation and localisation. We recommend doing mock interviews with friends or using online resources to boost your confidence.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace AI Language Data Annotation & Localization (English)

Fluency in English
Data Categorization
Data Annotation
Localization
Basic Computer Skills
Attention to Detail
Experience in Data Annotation

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your fluency in English and any relevant experience you have in data annotation. We want to see how your skills align with the role, so don’t hold back!

Tailor Your Application:Take a moment to customise your application for this specific position. Mention how your background fits into our projects and how you can contribute to our innovative team.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid fluff and focus on what makes you a great fit for the role.

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 Localization Academy

Know Your Stuff

Make sure you brush up on your knowledge of data annotation and localization. Familiarise yourself with the tools and techniques commonly used in these processes. Being able to discuss specific examples from your past experience will show that you're not just a good fit, but also genuinely interested in the role.

Showcase Your Attention to Detail

Since this role requires a keen eye for detail, prepare to demonstrate this during the interview. You might be asked to complete a small task or provide examples of how you've ensured accuracy in previous projects. Highlighting your meticulous nature can set you apart from other candidates.

Ask Smart Questions

Prepare thoughtful questions about the company's projects and the team you'll be working with. This shows that you're engaged and eager to learn more about how you can contribute. It’s also a great way to assess if the company culture aligns with your values.

Be Yourself

While it's important to be professional, don’t forget to let your personality shine through. The company is looking for someone who fits into their innovative team, so being authentic can help them see how you would mesh with their culture. Plus, it makes the conversation more enjoyable for both sides!