At a Glance
- Tasks: Join us as a Senior Data Associate, labelling diverse data types to enhance AI technology.
- Company: Amazon is at the forefront of AI innovation, transforming human-technology interaction.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and development.
- Why this job: Be part of a diverse team dedicated to improving lives through generative AI innovations.
- Qualifications: Fluent in Italian and English, with strong analytical and problem-solving skills required.
- Other info: Amazon values diversity and offers equal opportunities for all applicants.
The predicted salary is between 36000 - 60000 £ 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 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.
- 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.
Senior Data Associate with Italian, 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, AGI-Data Services
✨Tip Number 1
Familiarise yourself with the latest trends in AI and generative models. Understanding the technology behind the role will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your Italian language skills, especially in a business context. Since fluency is a requirement, being able to communicate effectively in both Italian and English will set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've handled ambiguous situations or complex tasks in the past. This role requires sound judgment and decision-making, so having concrete examples ready can showcase your problem-solving abilities.
✨Tip Number 4
Network with current employees or professionals in the AI field. Engaging with others can provide insights into the company culture and expectations, which can be invaluable during your application process.
We think you need these skills to ace Senior Data Associate with Italian, AGI-Data Services
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 Italian and English, as well as any experience with data handling and analysis.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of its impact on society. Mention specific examples of how your skills can contribute to Amazon's goals in generative AI.
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 make it clear how you excel in this area.
Showcase Problem-Solving Skills: Include instances where you've successfully identified issues and proposed solutions in previous roles. This will illustrate your analytical thinking and structured problem-solving capabilities, which are key for this position.
How to prepare for a job interview at Evi Technologies Limited - C67
✨Showcase Your Language Skills
Since fluency in Italian is a key requirement, be prepared to demonstrate your language skills during the interview. Practice speaking and writing in Italian 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 specific examples from your past work where your attention to detail made a significant impact. This could include instances where you identified errors or improved processes.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you've tackled ambiguous situations or complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly illustrate your analytical thinking.
✨Familiarise Yourself with AI Concepts
As the role involves working with generative AI and large language models, brush up on relevant AI concepts and terminology. Being able to discuss these topics confidently will show your genuine interest in the field and the company's mission.