At a Glance
- Tasks: Label data across text, speech, image, and video to enhance Alexa's performance.
- Company: Join Amazon, a leader in AI innovation and technology.
- Benefits: Competitive pay, learning opportunities, and a collaborative team environment.
- Other info: In-office role with Monday to Friday shifts and great growth potential.
- Why this job: Be part of a diverse team shaping the future of AI technology.
- Qualifications: Attention to detail, ability to multi-task, and commitment to confidentiality.
The predicted salary is between 30000 - 40000 £ per year.
Amazon is seeking an ML Data Associate to perform foundational labeling tasks across text, speech, image and video to improve Alexa’s performance. The role requires concentration, multi-tasking and strict confidentiality in line with Amazon policies. You will join a diverse team dedicated to advancing AI capabilities and maintaining high data quality. The team works in-office Monday to Friday with an eight-hour shift, and offers opportunities for collaboration, learning and growth.
AI Data Labeling Specialist in England employer: Evi Technologies Limited
Evi Technologies Limited is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive training programs and opportunities for professional growth, ensuring that you can advance your career while contributing to cutting-edge AI solutions. With a focus on teamwork and global collaboration, Evi provides a supportive environment where your leadership skills can truly shine.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Labeling Specialist in England
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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 Evi Technologies Limited.
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We think you need these skills to ace AI Data Labeling Specialist in England
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Evi Technologies Limited, 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 Evi Technologies Limited. 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 Evi Technologies Limited
✨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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Evi Technologies Limited!
✨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.
