At a Glance
- Tasks: Join us as a Senior Data Associate to work with diverse data types and improve AI performance.
- Company: Amazon is at the forefront of AI innovation, transforming technology for a better future.
- Benefits: Enjoy a collaborative office environment, regular training, and exciting Amazon events throughout the year.
- Why this job: Be part of a diverse team shaping the future of human-technology interaction with your creativity.
- Qualifications: Fluent in German and English, with strong analytical skills and attention to detail required.
- Other info: This is a fixed-term contract role with an eight-hour shift, Monday to Friday.
The predicted salary is between 36000 - 60000 £ per year.
This is a position for a fixed-term contract. Please ensure you read the below overview and requirements for this employment opportunity completely. 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 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, 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 team:
The 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 C1+).
- 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.
Senior Data Associate with German, Artificial General Intelligence employer: Evi Technologies Limited
Contact Detail:
Evi Technologies Limited 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 developments and how they relate to the role will show your passion and knowledge during interviews.
✨Tip Number 2
Brush up on your German language skills, especially in a business context. Since fluency is a requirement, being able to demonstrate your proficiency in both written and spoken German will 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 navigated complex tasks or resolved issues, as these will be key discussion points in your interview.
✨Tip Number 4
Network with professionals in the AI and machine learning fields. Engaging with others in the industry can provide insights into the role and may even lead to referrals, increasing your chances of landing the job with us.
We think you need these skills to ace Senior Data Associate with German, Artificial General Intelligence
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Senior Data Associate position. Familiarise yourself with the key job responsibilities and preferred qualifications to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasise any relevant experience you have in data handling, machine learning workflows, or similar roles. Use specific examples to demonstrate your skills in managing complex tasks and attention to detail.
Showcase Language Proficiency: Since fluency in German and English is essential, ensure that your language skills are clearly highlighted in your application. Mention any certifications or experiences that validate your proficiency at CEFR C1+ level.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also reflects your passion for AI and technology. Discuss how your individuality and creative mindset align with the company's vision of transforming human-technology interaction.
How to prepare for a job interview at Evi Technologies Limited
✨Showcase Your Language Skills
Since fluency in German and English is crucial 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 and writing in a professional context beforehand.
✨Highlight Your Attention to Detail
This position requires a keen 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.
✨Prepare for Problem-Solving Scenarios
Expect to face questions that assess your analytical thinking and problem-solving skills. Prepare to discuss how you've tackled ambiguous situations in the past, showcasing your ability to make logical decisions under pressure.
✨Demonstrate Your Research Skills
As a Senior Data Associate, you'll need strong research capabilities. Be prepared to talk about your experience with gathering and synthesising information from various sources, and how you’ve used this skill to improve processes or outcomes in previous roles.