Sr Data Associate with Italian Part-Time FTC, AGI-Data Services

ENGINEERINGUK; Cambridge; On-site; GBP 20,000 - 40,000; Part time

Job summary

Join a forward-thinking company as a Sr Data Associate, where you'll play a crucial role in the responsible development of AI. This part-time position offers the chance to work with diverse data types while maintaining confidentiality and adhering to high-quality standards. Your analytical skills and attention to detail will contribute to innovative generative AI solutions that enhance customer experiences. If you're looking to make a meaningful impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

• CEFR C1+ fluency in Italian and B2+ in English required.
• 2+ years of professional experience with task execution ability.

Responsibilities

• Maintain confidentiality while delivering high-quality labeled data.
• Analyze root causes and propose solutions to enhance labeling quality.

Skills

Analytical Thinking

Attention to Detail

Business Writing Skills

Problem-Solving Skills

Research Skills

Education

Associate's Degree

Bachelor's Degree in a Relevant Field

Tools

Microsoft Office Suite

Job description

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Sr Data Associate with Italian Part-Time FTC, AGI-Data Services

View more categories View less categories Sector Legal Role Associate Contract Type Variable Hours Part Time

DESCRIPTION

Note: This position is for part-time employment and a 12-month 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 candidates who don't just think outside the box, but make the box they are in 'Bigger'. The future is now—do you want to be part of it? Then read on!

Key job responsibilities

1. Maintain and follow strict confidentiality as customer privacy is our most important tenet.
2. Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video.
3. Deliver high-quality labelled data, using provided guidelines to meet KPIs, utilizing in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
4. Demonstrate proficiency in generating high-quality human insight data across modalities including text, image, video, and audio.
5. Make sound judgments and logical decisions when faced with ambiguous or incomplete information during tasks.
6. Maintain an eye for detail and ability to pivot between different requirement categories instantaneously.
7. Support daily operational deliverables for multiple task types assigned to you and the team.
8. Analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and outputs.
9. Identify process and operational issues in Standard Operating Procedures and tools, suggesting changes to unblock operations.
10. Provide ownership in floor support to clarify internal queries during execution as needed.

A day in the life

We seek a ML Data Associate (MLDA) to perform foundational labeling functions, such as dialogue evaluation on speech, text, audio, and video data.

Your concentration, multitasking ability, and high attention to detail will help you deliver high-quality work while maintaining confidentiality and adhering to Amazon policies. You will be part of a diverse team aiming to improve customers' lives through practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are highly valued.

BASIC QUALIFICATIONS

• An Associate's Degree or related work experience
• CEFR C1+ or equivalent fluency in Italian
• Written and spoken knowledge of English (CEFR B2+)
• Strong business writing skills for reports, proposals, and professional correspondence
• Advanced reading comprehension for analyzing complex documents
• Developed analytical thinking and structured problem-solving skills
• Ability to interpret and implement detailed instructions across projects
• Proficient research skills for gathering and synthesizing information
• 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 task execution ability
• Experience leveraging open-source resources for research
• Ability to adapt to fast-paced environments with changing circumstances
• 2-3 years project coordination or management experience
• Experience managing stakeholder relationships across departments
• Proficiency in Microsoft Office Suite and common business applications

Amazon is an equal opportunities employer that values diversity. We make recruiting decisions based on experience and skills. Protecting your privacy and data security is a priority. Please review our Privacy Notice.

We do not discriminate based on veteran status, disability, or other protected classes. If you need workplace accommodations during the application or interview process, visit this link.