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- Tasks: Support AI training workflows using digital tools and structured data formats.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Flexible remote work, competitive pay, and contract-based role.
- Why this job: Join a fast-paced environment and contribute to cutting-edge AI technology.
- Qualifications: Background in STEM or technical discipline with strong digital literacy.
- Other info: Opportunity to adapt to evolving workflows while maintaining accuracy.
The predicted salary is between 30000 - 42000 £ per year.
A leading tech company in the United Kingdom is looking for individuals to support AI training workflows in a flexible, remote, contract-based role. Candidates should have a background in a STEM or technical discipline and demonstrate strong digital literacy and attention to detail. The position involves working with digital tools and structured data formats, adapting to evolving workflows in a fast-paced environment while maintaining accuracy and consistency.
Remote AI Training Data Specialist in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Training Data Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the tech industry, especially those already working in AI. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub profile showcasing any relevant projects or experiences. 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 brushing up on common AI-related questions and scenarios. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote AI Training Data Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your STEM background and any relevant technical skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing your digital literacy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our AI training workflows. Keep it concise but impactful!
Show Off Your Attention to Detail: In this role, accuracy is key. When filling out your application, double-check for any typos or errors. We appreciate candidates who take the time to ensure their submissions are polished and professional.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Tech
Brush up on your knowledge of digital tools and structured data formats. Be ready to discuss any relevant software or platforms you've used in the past, as this will show your technical proficiency and adaptability.
✨Showcase Your Attention to Detail
Prepare examples from your previous work where your attention to detail made a difference. Whether it was catching errors in data or ensuring accuracy in reports, these anecdotes will highlight your suitability for the role.
✨Adaptability is Key
Since the role involves evolving workflows, think of instances where you successfully adapted to change. Share how you managed new processes or tools, demonstrating your flexibility and readiness for a fast-paced environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI training workflows and how they measure success. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.
