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For Companies At a Glance
- Tasks: Label and analyse diverse data types to support AI development.
- Company: Join Amazon, a leader in innovative AI technology.
- Benefits: Flexible part-time hours, competitive pay, and a chance to work with cutting-edge tech.
- Why this job: Be part of a team transforming human-technology interaction with generative AI.
- Qualifications: Fluent in Italian and English, with strong analytical and writing skills.
- Other info: Diverse team environment with opportunities for personal and professional growth.
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 Italian 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.
Senior Data Associate with Italian - Part Time, 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 Senior Data Associate with Italian - Part Time, AGI-Data Services
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Amazon. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Prepare for the interview by practising common questions related to data handling and confidentiality. We want you to showcase your analytical skills and attention to detail, so have examples ready that highlight your experience.
✨Tip Number 3
Show off your language skills! Since fluency in Italian is key, be ready to demonstrate this during the interview. Maybe even throw in some relevant industry terms to impress them!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and being part of the AI revolution.
We think you need these skills to ace Senior Data Associate with Italian - Part Time, AGI-Data Services
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong business writing skills and any relevant experience in your application. We want to see how you can create reports and professional correspondence that stand out!
Be Detail-Oriented: Since attention to detail is key for this role, don’t forget to proofread your application. A well-structured and error-free submission shows us you can manage complex tasks effectively.
Tailor Your Application: Take a moment to customise your application to reflect the job description. Mention your experience with data types like text, audio, and video, and how you’ve tackled similar challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with StudySmarter!
How to prepare for a job interview at Evi Technologies Limited - C67
✨Know Your Data
Familiarise yourself with the types of data you'll be working with, such as text, audio, and video. Be ready to discuss how you’ve handled similar data in the past and any tools you've used. This shows you’re not just a candidate but someone who understands the role.
✨Showcase Your Attention to Detail
Prepare examples that highlight your attention to detail and ability to manage complex tasks. You might want to share a story where your meticulousness led to a successful outcome. This is crucial for maintaining high-quality work in data labelling.
✨Demonstrate Problem-Solving Skills
Think of instances where you faced ambiguous situations and had to make sound judgments. Be ready to explain your thought process and how you arrived at your decisions. This will show your analytical thinking and structured problem-solving capabilities.
✨Brush Up on Your Language Skills
Since fluency in Italian is essential, practice discussing your experiences and qualifications in both Italian and English. This will help you feel more confident during the interview and demonstrate your language proficiency effectively.
