At a Glance
- Tasks: Lead the charge in measuring and certifying AI data quality with innovative automated evaluations.
- Company: Join Encord, a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for global collaboration.
- Other info: Be part of a dynamic team with exciting growth potential.
- Why this job: Make a real impact on AI by ensuring top-notch data quality standards.
- Qualifications: Experience in quality systems and a passion for AI data management.
The predicted salary is between 59400 - 72600 £ per year.
Encord is hiring a Quality Systems Lead to own how we measure and certify the quality of human data across AI data types.
You will build automated evaluation, run a dedicated audit team in India, and convert audit outputs into gold standards for model training and calibration.
You will define rubrics, thresholds, and KPIs, and partner with Product and Engineering to embed quality measurement in the Encord platform.
London-based hybrid role with global collaboration.
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AI Data Quality Lead & Automated Evaluation in London employer: Encord
Encord is an exceptional employer for a Learning & Development Specialist, offering a dynamic work environment in London where innovation meets education. With a strong emphasis on employee growth, competitive salaries, and a vibrant in-person culture, team members enjoy 25 days of annual leave, regular company lunches, and opportunities for professional development through an annual learning budget. Join us to make a meaningful impact in the AI sector while collaborating with a diverse and ambitious team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Quality Lead & Automated Evaluation in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Encord!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Encord.
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We think you need these skills to ace AI Data Quality Lead & Automated Evaluation in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Encord, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Encord. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Encord
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
