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- Tasks: Join our team to annotate data and support exciting AI projects.
- Company: Global tech company with a focus on innovation and collaboration.
- Benefits: Competitive salary, potential for contract extension, and hands-on experience.
- Why this job: Be part of the AI revolution and enhance your skills in a dynamic environment.
- Qualifications: Native English speaker with basic computer skills; experience in data annotation is a plus.
- Other info: Full-time, on-site role with opportunities for growth in the tech industry.
The predicted salary is between 30000 - 42000 £ per year.
A global technology company is looking for a detail-oriented professional to join their linguistic projects team in the United Kingdom. This full-time, on-site role focuses on data annotation and other related tasks within the AI sector.
Ideal candidates should be native English speakers with basic computer skills, and while previous experience in data annotation is preferred, it is not mandatory.
The position offers a competitive salary and is structured as a 6-month temporary contract with the potential for extension.
English Linguistic Projects — On-site Data Annotation employer: Sigma AI
Contact Detail:
Sigma AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land English Linguistic Projects — On-site Data Annotation
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend local meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data annotation and AI. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills! If you’ve done any relevant projects or have examples of your work, bring them along to the interview. This will help us see your potential and how you can contribute to our team.
✨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 take the initiative to connect with us directly.
We think you need these skills to ace English Linguistic Projects — On-site Data Annotation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant skills or experiences that relate to data annotation. We want to see how your background fits with the role, so don’t be shy about showcasing your strengths!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re interested in this position and how your skills make you a great fit for our team. Keep it friendly and professional – we love a personal touch!
Show Off Your Attention to Detail: Since this role is all about data annotation, it’s crucial to demonstrate your attention to detail. Whether it’s through your application format or examples of past work, let us see that you can spot the little things!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Sigma AI
✨Know Your Stuff
Make sure you brush up on your understanding of data annotation and its relevance in the AI sector. Familiarise yourself with common terminology and processes, as this will show your enthusiasm and readiness for the role.
✨Showcase Your Attention to Detail
Since the job requires a detail-oriented professional, be prepared to discuss examples from your past experiences where your attention to detail made a difference. This could be anything from proofreading documents to managing data accurately.
✨Practice Basic Computer Skills
Even though basic computer skills are required, it’s a good idea to practice using relevant software or tools that might be used in data annotation. This will help you feel more confident during the technical aspects of the interview.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s linguistic projects and how they integrate AI. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
