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- Tasks: Lead and optimise data annotation projects for AI and ML pipelines.
- Company: A top digital services company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI while leading dynamic, distributed teams.
- Qualifications: 4+ years in operations and data annotation, with strong leadership skills.
- Other info: Join a forward-thinking team dedicated to excellence in AI data operations.
The predicted salary is between 42000 - 60000 £ per year.
A leading outsourced digital services company in Greater London is seeking an AI Data Operations Manager to lead day-to-day strategy and operations for data annotation projects powering AI and ML pipelines. The role requires managing geographically distributed teams, ensuring high-quality data delivery, and improving processes.
Applicants should have:
- 4+ years of experience in operations and data annotation
- A relevant degree
- Strong leadership and communication skills
Join us to help shape the future of AI data operations.
Global AI Data Operations Lead for Annotation in London employer: TaskUs
Contact Detail:
TaskUs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Global AI Data Operations Lead for Annotation in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their approach to AI and data operations so you can showcase how your experience aligns with their needs. We want you to shine!
✨Tip Number 3
Practice your leadership and communication skills. Be ready to discuss how you've managed teams and improved processes in past roles. This is your chance to show them you're the perfect fit for leading their data annotation projects.
✨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 joining our team.
We think you need these skills to ace Global AI Data Operations Lead for Annotation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Global AI Data Operations Lead. Highlight your experience in operations and data annotation, and don’t forget to showcase your leadership skills. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past experiences that relate to managing teams and improving processes. We love a good story!
Showcase Your Communication Skills: Since strong communication is key for this position, make sure your application reflects that. Use clear and concise language, and don’t hesitate to demonstrate how you've effectively communicated with geographically distributed teams in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at TaskUs
✨Know Your Data Inside Out
Make sure you understand the ins and outs of data annotation and AI operations. Brush up on the latest trends in AI and ML, and be ready to discuss how your experience aligns with the company's projects. This will show that you're not just familiar with the field but genuinely passionate about it.
✨Showcase Your Leadership Skills
Since this role involves managing geographically distributed teams, prepare examples of how you've successfully led teams in the past. Highlight your communication strategies and how you ensure high-quality data delivery. This will demonstrate your capability to lead effectively in a remote environment.
✨Prepare for Process Improvement Questions
Expect questions about how you've improved processes in previous roles. Think of specific instances where you identified inefficiencies and implemented changes that enhanced productivity or quality. This will illustrate your proactive approach and problem-solving skills.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's future projects or challenges in AI data operations. This shows your interest in the role and helps you gauge if the company is the right fit for you. Plus, it keeps the conversation engaging!
