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- Tasks: Lead data annotation projects and ensure top-notch data quality for AI models.
- Company: Cutting-edge AI infrastructure company based in the UK.
- Benefits: Competitive salary, strong in-person culture, and hybrid work model.
- Why this job: Join a dynamic team and shape the future of AI with your expertise.
- Qualifications: 3+ years in project management, data operations, and skills in Python and SQL.
- Other info: Collaborate with cross-functional teams and engage directly with clients.
The predicted salary is between 42000 - 84000 £ per year.
A cutting-edge AI infrastructure company in the UK is seeking a Human Data Operations Strategist to lead data annotation projects and ensure high-quality data for AI models. This role requires 3+ years of experience in project management and data operations, alongside proficiency in Python and SQL.
You will collaborate with cross-functional teams to optimize workflows and engage with clients. Competitive salary and a strong in-person culture are offered, with a hybrid work model requiring 3+ days in the London office.
AI Data Operations Lead - Quality & Workflow Architect in London employer: Encord
Contact Detail:
Encord Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Operations Lead - Quality & Workflow Architect in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data operations space 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
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've optimised workflows in past projects. We want to see your problem-solving skills in action!
✨Tip Number 3
Showcase your experience! When you get the chance to chat with potential employers, highlight your project management experience and how you've led teams to success. We love to hear about real-world examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals to join our cutting-edge team.
We think you need these skills to ace AI Data Operations Lead - Quality & Workflow Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in project management and data operations. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the AI Data Operations Lead role. Share specific examples of how you've optimised workflows or led successful data annotation projects in the past.
Showcase Your Team Spirit: Since this role involves collaborating with cross-functional teams, let us know about your teamwork experiences. We love seeing how you’ve engaged with clients and worked alongside others to achieve common goals.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our cutting-edge team!
How to prepare for a job interview at Encord
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data operations and annotation processes. Be ready to discuss specific projects you've managed, especially those involving Python and SQL. This will show that you not only understand the technical side but also how to lead teams effectively.
✨Showcase Your Project Management Skills
Prepare examples that highlight your project management experience. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your ability to handle complex workflows and collaborate with cross-functional teams.
✨Engage with the Company Culture
Since this role involves a strong in-person culture, be prepared to discuss how you can contribute to that environment. Share your thoughts on teamwork and collaboration, and maybe even mention how you’ve fostered a positive atmosphere in past roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI projects and their approach to data quality. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and career goals.
