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- Tasks: Lead data annotation projects and ensure top-notch data quality for AI solutions.
- Company: Pioneering AI company in Greater London with a focus on innovation.
- Benefits: Competitive compensation and growth opportunities in a fast-paced tech environment.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 3+ years of experience, strong project management, and scripting skills.
- Other info: Dynamic workplace with a focus on technology innovation.
The predicted salary is between 42000 - 84000 £ per year.
A pioneering AI company in Greater London seeks a Human Data Operations Strategist. This role involves overseeing data annotation projects, ensuring data quality, and acting as a trusted consultant for clients.
Ideal candidates should have over 3 years of relevant experience, adept project management skills, and familiarity with scripting languages.
The company offers competitive compensation and opportunities for growth in a fast-paced environment focused on AI and technology innovation.
AI Data Ops Lead — Data Quality & Workflow Architect employer: Encord
Contact Detail:
Encord Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Ops Lead — Data Quality & Workflow Architect
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data ops space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your project management experience and any scripting languages you know. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by researching the company’s recent projects and innovations. Tailor your answers to show how your experience aligns with their goals, especially in data quality and workflow.
✨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 their job search.
We think you need these skills to ace AI Data Ops Lead — Data Quality & Workflow Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Ops Lead role. Highlight your relevant experience, especially in data quality and project management. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills: Since familiarity with scripting languages is key, don’t forget to mention any relevant technical skills in your application. We love seeing candidates who can bring that extra edge to our projects!
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 Encord
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data quality and annotation processes. Be ready to discuss specific projects you've managed, the challenges you faced, and how you ensured high standards. This will show that you’re not just familiar with the concepts but have practical experience.
✨Showcase Your Project Management Skills
Prepare examples that highlight your project management expertise. Think about times when you successfully led a team or improved a workflow. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your impact.
✨Familiarity with Scripting Languages is Key
Since the role requires familiarity with scripting languages, be ready to discuss any relevant experience you have. If you’ve used Python, R, or similar languages, prepare to explain how you applied them in your previous roles, especially in relation to data operations.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI and data quality. This not only shows your interest but also helps you gauge if the company aligns with your career goals. It’s a great way to demonstrate your enthusiasm for the role.
