At a Glance
- Tasks: Join us as a ML Data Associate to label and analyse diverse data types.
- Company: Amazon is at the forefront of AI innovation, transforming technology for a better future.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant team culture.
- Why this job: Be part of a mission-driven team improving lives through generative AI and innovative solutions.
- Qualifications: Fluent in German and English, with strong analytical skills and attention to detail.
- Other info: Diversity is key at Amazon; we welcome applicants from all backgrounds.
The predicted salary is between 28800 - 43200 £ per year.
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 most important tenet.
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video.
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image, video and audio.
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team.
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, 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 life: We 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. 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 of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
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.
- Bachelor’s degree in a relevant field.
- 2+ years of professional work 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.
- 2-3 years 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.
ML Data Associate II - German Required employer: Evi Technologies Limited - C67
Contact Detail:
Evi Technologies Limited - C67 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Data Associate II - German Required
✨Tip Number 1
Familiarise yourself with the types of data you'll be working with, such as text, audio, and video. Understanding the nuances of these modalities will help you demonstrate your proficiency during interviews.
✨Tip Number 2
Brush up on your German language skills, especially in a business context. Being fluent in both German and English is crucial, so practice speaking and writing to ensure you're comfortable communicating in both languages.
✨Tip Number 3
Showcase your analytical thinking and problem-solving abilities by preparing examples from your past experiences. Be ready to discuss how you've tackled complex tasks or resolved issues in previous roles.
✨Tip Number 4
Research Amazon's commitment to responsible AI development. Understanding their values and mission will not only help you align your answers during the interview but also show your genuine interest in the role.
We think you need these skills to ace ML Data Associate II - German Required
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 with data handling or AI technologies.
Craft a Strong Cover Letter: Write a compelling 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 ML Data Associate position.
Highlight Attention to Detail: In your application, provide examples that demonstrate your attention to detail and ability to manage complex tasks. This is crucial for the role, so be specific about past experiences where you excelled in this area.
Showcase Analytical Skills: Include instances where you've successfully analysed data or solved problems in previous roles. This will help illustrate your analytical thinking and structured problem-solving capabilities, which are key qualifications for the position.
How to prepare for a job interview at Evi Technologies Limited - C67
✨Showcase Your Language Skills
Since fluency in German is a requirement, be prepared to demonstrate your language skills during the interview. Practice speaking and writing in German beforehand, and consider discussing your experiences using the language in a professional context.
✨Highlight Attention to Detail
Given the emphasis on delivering high-quality labelled data, share examples from your past work where your attention to detail made a significant impact. Discuss how you ensure accuracy and quality in your tasks, especially when handling complex information.
✨Demonstrate Problem-Solving Skills
Prepare to discuss situations where you've faced ambiguous or incomplete information. Explain how you approached these challenges, the decisions you made, and the outcomes. This will showcase your analytical thinking and structured problem-solving capabilities.
✨Familiarise Yourself with AI Concepts
As the role involves working with generative AI, it’s beneficial to have a basic understanding of AI concepts and terminology. Research current trends in AI and be ready to discuss how they relate to the responsibilities of the position.