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- Tasks: Join us as a Sr Data Associate, labelling diverse data types like text, audio, and video.
- Company: Evi Technologies Limited is at the forefront of AI innovation, transforming human-technology interaction.
- Benefits: Enjoy part-time flexibility, a collaborative environment, and the chance to work with cutting-edge AI technology.
- Why this job: Be part of a diverse team dedicated to improving lives through generative AI innovations.
- Qualifications: Fluent in German (C1+) and English (B2+), with strong analytical and problem-solving skills.
- Other info: This is a 12-month fixed-term contract, perfect for students seeking valuable experience.
Description
Note: This position is for part-time employment.
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
Preferred Qualifications
- 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. Please consult our Privacy Notice ) to know more about how we collect, use and
Sr Data Associate with German Part-Time FTC, AGI-Data Services employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Data Associate with German Part-Time FTC, AGI-Data Services
✨Tip Number 1
Familiarise yourself with the types of data you'll be working with, such as text, audio, and video. Understanding 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 confident.
✨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 AI and its ethical implications. Being knowledgeable about their values and initiatives can help you align your answers with their mission during the interview process.
We think you need these skills to ace Sr Data Associate with German Part-Time FTC, AGI-Data Services
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and qualifications required for the Sr Data Associate position. Tailor your application to highlight how your skills and experiences align with these requirements.
Highlight Language Proficiency: Since fluency in German (CEFR C1+) is essential, make sure to clearly state your language skills in both your CV and cover letter. Provide examples of how you've used your language skills in a professional context.
Showcase Attention to Detail: Given the emphasis on delivering high-quality labelled data and maintaining confidentiality, include specific examples in your application that demonstrate your attention to detail and ability to manage complex tasks.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarises your qualifications but also expresses your enthusiasm for working with AI and contributing to Amazon's mission. Use this opportunity to showcase your individuality and creative mindset.
How to prepare for a job interview at Amazon
✨Showcase Your Language Skills
Since fluency in German is a key 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
This role requires a keen eye for detail. Prepare examples from your past work where your attention to detail made a significant impact. Be ready to discuss how you ensure accuracy in your tasks, especially when handling complex data.
✨Demonstrate Problem-Solving Skills
The ability to analyse root causes and propose solutions is crucial. Think of specific instances where you faced ambiguous situations and how you approached them. This will show your analytical thinking and structured problem-solving capabilities.
✨Familiarise Yourself with AI Concepts
As the position involves working with AI technologies, having a basic understanding of generative AI and large language models can set you apart. Research these topics and be prepared to discuss how they relate to the role and your previous experiences.