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- Tasks: Join us as a Senior Data Associate to enhance AI through data labelling and analysis.
- Company: Evi Technologies Limited is at the forefront of AI innovation, transforming human-technology interaction.
- Benefits: Enjoy a collaborative office environment with diverse teams and regular training opportunities.
- Why this job: Be part of a cutting-edge team shaping the future of AI while developing your skills.
- Qualifications: Fluent in German and English, with strong analytical and writing skills; relevant degree preferred.
- Other info: This is a fixed-term contract role with a focus on confidentiality and quality.
The predicted salary is between 36000 - 60000 £ per year.
Senior Data Associate with German, Artificial General IntelligenceJob ID: 3118397 | Evi Technologies Limited
AI is the most transformational technology of our time, capable of tackling some of humanity\’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for those candidates who just don\’t think out of the box, but make the box they are in \’Bigger\’. The future is now, do you want to be a part of it? Then read on!
Key job responsibilities
Maintain and follow strict confidentiality as customer privacy is our biggest tenet
Work with a range of different types of data including but not limited to text, speech, image, and video
Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software
Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.
Ability to make logical decisions while performing tasks even when provided information is ambiguous
Eye for detail and ability to pivot from one category of requirement to another instantaneously
Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team
Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions
Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks
Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations
Demonstrate ownership in floor support to clarify internal queries during execution on need basis
A day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa\’s performance in everyday situations.
Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.
About the teamThe team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.
Basic Qualifications
An Associate\’s Degree or related work experience
CEFR C1+ or equivalent fluency in German language
Written and spoken knowledge of English is essential (CEFR B2+)
Strong business writing skills with ability to create reports, proposals, and professional correspondence
Advanced reading comprehension with ability to analyze complex business documents
Developed analytical thinking and structured problem-solving capabilities
Strong ability to interpret and implement detailed instructions across various projects
Proficient research skills with experience gathering and synthesizing information from multiple sources
Proven attention to detail in managing complex tasks and documents
Preferred Qualifications
Bachelor\’s degree in a relevant field
Proven experience with demonstrated task execution ability
Proven capacity to leverage open-source resources effectively for comprehensive research purposes
Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
Proven project coordination or management experience (for support functions teams)
Experience managing stakeholder relationships across departments
Advanced proficiency in Microsoft Office Suite and common business applications.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice https://www.amazon.jobs/en/privacy_page to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you\’re applying in isn\’t listed, please contact your Recruiting Partner.
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Senior Data Associate with German, Artificial General Intelligence employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Associate with German, Artificial General Intelligence
✨Tip Number 1
Familiarise yourself with the latest trends in Artificial General Intelligence and machine learning. Being able to discuss current advancements and their implications during your interview will show your passion and knowledge in the field.
✨Tip Number 2
Brush up on your German language skills, especially in a professional context. Since fluency is a requirement, being able to demonstrate your language proficiency in conversations or role-plays can set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your analytical thinking and problem-solving skills. Think of examples from your past experiences where you've successfully tackled complex tasks or improved processes, as these will be valuable in the role.
✨Tip Number 4
Network with current employees or professionals in the AI field. Engaging with them can provide insights into the company culture and expectations, which can help you tailor your approach during the interview process.
We think you need these skills to ace Senior Data Associate with German, Artificial General Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your proficiency in German and English, as well as any experience you have with data handling and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the role. Mention specific examples of how your skills and experiences make you a great fit for the Senior Data Associate position.
Showcase Attention to Detail: In your application, demonstrate your attention to detail by ensuring there are no grammatical or spelling errors. This is crucial for a role that requires high-quality data labelling and analysis.
Highlight Problem-Solving Skills: Include examples in your application that illustrate your analytical thinking and structured problem-solving capabilities. This will show that you can handle the complexities of the tasks involved in the role.
How to prepare for a job interview at Amazon
✨Showcase Your Language Skills
Since fluency in German and English is essential for this role, be prepared to demonstrate your language proficiency during the interview. You might be asked to respond to questions or provide examples in both languages, so practice speaking clearly and confidently.
✨Highlight Your Attention to Detail
The job requires a strong eye for detail, especially when it comes to data labelling. Be ready to discuss specific examples from your past experiences where your attention to detail made a significant impact on the quality of your work.
✨Demonstrate Problem-Solving Skills
This role involves making logical decisions with ambiguous information. Prepare to share instances where you successfully navigated complex problems or adapted to changing circumstances, showcasing your analytical thinking and structured problem-solving capabilities.
✨Familiarise Yourself with AI Concepts
As the position is centred around Artificial General Intelligence, having a basic understanding of AI concepts and terminology will be beneficial. Brush up on relevant topics and be ready to discuss how they relate to the role and your previous experiences.
