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- Tasks: Label and analyse diverse data types to support AI development.
- Company: Join Amazon, a leader in generative AI innovation.
- Benefits: Part-time hours, competitive pay, and a chance to work with cutting-edge technology.
- Why this job: Be part of a team shaping the future of human-technology interaction.
- Qualifications: Fluent in German and English, with strong analytical skills.
- Other info: Dynamic work environment with opportunities for personal growth.
Note: This position is for part-time employment with a fixed-term contract.
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 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
– 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 (
Sr Data Associate with German Part-Time FTC, AGI-Data Services employer: Evi Technologies Limited - C67
Contact Detail:
Evi Technologies Limited - C67 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
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data handling and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with data analysis and labelling tasks. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Sr Data Associate with German Part-Time FTC, AGI-Data Services
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Sr Data Associate role. Highlight your experience with data handling and any relevant skills in German and English. We want to see how you fit into our vision of building the future of human-technology interaction!
Showcase Your Attention to Detail: Since this role requires a keen eye for detail, include examples in your application that demonstrate your ability to manage complex tasks accurately. We love candidates who can pivot quickly and maintain high-quality work under pressure!
Highlight Your Analytical Skills: We’re looking for someone who can analyse data and identify patterns. In your application, mention any experiences where you've successfully solved problems or improved processes. This will show us you have the analytical thinking we value!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Evi Technologies Limited - C67
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with, like text, audio, and video. Brush up on any relevant tools or software mentioned in the job description, as this will show your commitment and readiness to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've had to make sound judgments or solve ambiguous problems. This role requires analytical thinking, so demonstrating your structured problem-solving capabilities will definitely impress.
✨Master the Language Requirements
Since fluency in German and English is crucial, practice speaking and writing in both languages. You might even want to prepare a few responses in German to showcase your proficiency during the interview.
✨Emphasise Attention to Detail
This position demands a keen eye for detail, so be ready to discuss how you manage complex tasks and ensure high-quality outputs. Bring examples that highlight your ability to pivot between different requirements while maintaining accuracy.
