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- Tasks: Analyse PDF documents and validate AI-generated data with precision.
- Company: Crossing Hurdles, a forward-thinking company embracing remote work.
- Benefits: Flexible hours, remote work, and a chance to enhance your skills.
- Other info: Perfect for students seeking part-time work with growth potential.
- Why this job: Join us to ensure data quality and make a difference in AI development.
- Qualifications: Experience in data annotation, QA, and strong attention to detail required.
The predicted salary is between 20000 - 30000 £ per year.
Crossing Hurdles is seeking a Document Annotation Specialist to analyze PDF documents and validate AI-generated data. This contract position offers remote flexibility and requires 10-40 hours per week.
The ideal candidate will have experience in data annotation, QA, and proofreading, with a strong attention to detail and proficiency in navigating complex documents. A solid understanding of JSON structure and basic math operations is essential for the role.
Remote Data QA & Annotation Specialist in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data QA & Annotation Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data annotation and QA fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work in data annotation and QA. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of JSON structure and basic math operations. Be ready to discuss how you've tackled complex documents in the past – real-life examples can make a big impact!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Remote Data QA & Annotation Specialist in London
Some tips for your application 🫡
Show Off Your Attention to Detail: When you're writing your application, make sure to highlight your attention to detail. We want to see how you’ve tackled complex documents in the past, so share specific examples that showcase your skills!
Tailor Your Experience: Don’t just send a generic application! We love it when candidates tailor their experience to match the job description. Mention your data annotation and QA experience directly, and don’t forget to include any relevant work with JSON structures.
Keep It Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points if necessary to break down your skills and experiences, especially when discussing your proficiency in navigating complex documents.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Documents
Before the interview, make sure you’re familiar with different types of PDF documents and how to navigate them. Brush up on your data annotation skills and be ready to discuss specific examples where you've validated AI-generated data.
✨Showcase Your Attention to Detail
During the interview, highlight your experience in QA and proofreading. Prepare to share instances where your attention to detail made a significant difference in your work, especially in data annotation tasks.
✨Understand JSON and Math Basics
Since a solid understanding of JSON structure is essential for this role, be prepared to answer questions related to it. You might also want to review basic math operations, as they could come up in the context of data validation.
✨Ask Insightful Questions
Don’t forget to prepare some thoughtful questions about the company’s approach to data annotation and QA processes. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.