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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 36000 - 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in AI and data operations. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Showcase your leadership skills! During interviews, share specific examples of how you've successfully managed teams and improved processes in past roles. We want to see how you can lead our geographically distributed teams.
✨Tip Number 3
Prepare for scenario-based questions! Think about challenges you might face in data annotation projects and how you'd tackle them. This will show us you're ready to jump into the role and make an impact.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team and shaping the future of AI data operations.
We think you need these skills to ace Global AI Data Operations Lead for Annotation
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 align with the job description. 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 your ability to manage teams effectively. We’re all about collaboration!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Join us in shaping the future of AI data operations!
How to prepare for a job interview at TaskUs
✨Know Your Data Inside Out
Make sure you’re well-versed in data annotation processes and AI/ML pipelines. Brush up on the latest trends and technologies in the field, as this will show your passion and expertise during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed teams in the past. Highlight specific challenges you faced and how you motivated your team to achieve high-quality results. This will demonstrate your capability to lead geographically distributed teams.
✨Be Ready to Discuss Process Improvements
Think about times when you’ve improved operational processes in your previous roles. Be ready to discuss these experiences and how they can be applied to enhance data delivery in the new role.
✨Communicate Clearly and Confidently
Strong communication is key for this position. Practice articulating your thoughts clearly and confidently, especially when discussing complex topics related to AI and data operations. This will help you make a great impression.
