ML Data Associate-II, Artificial General Intelligence – Data Services (AGI – DS)

Amazon; Cambridge; On-site; GBP 30,000 - 40,000; Full time

Job summary

Join a leading company as a ML Data Associate, where you'll work with diverse data types to enhance AI technologies. This role involves maintaining confidentiality while delivering high-quality labeled data. You'll be part of a dynamic team focused on innovation and quality improvement, with opportunities for growth in a fast-paced environment.

Qualifications

• At least 2 years of professional work experience with demonstrated task execution skills.
• Comfortable working with speech data from various dialects and accents of English.

Responsibilities

• Deliver high-quality labeled data using provided guidelines to meet KPIs.
• Handle end-to-end data labeling processes independently.
• Support operational metrics like AHT, quality, and TAT across multiple task types.

Skills

English

Adaptability

Attention to Detail

Education

High school diploma or equivalent

Bachelor’s degree or equivalent experience

Tools

MS Office

Job description

ML Data Associate-II, Artificial General Intelligence – Data Services (AGI – DS)

Job ID: 2780381 | Evi Technologies Limited

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 bigger. The future is now—do you want to be part of it? Read on!

Key job responsibilities

1. Maintain and follow strict confidentiality as customer privacy is our top priority.
2. Work with various types of data including text, speech, image, and video.
3. Deliver high-quality labeled data using provided guidelines to meet KPIs, utilizing in-house tools and software.
4. Serve as a subject matter expert in ML data workflows, demonstrating proficiency in researching, creating factually and grammatically correct responses, ranking responses, and annotating text, speech, image, and video data.
5. Make logical decisions during tasks, even when information is ambiguous.
6. Pay close attention to detail and adapt quickly to different requirements.
7. Support operational metrics like AHT, quality, and TAT across multiple task types.
8. Handle end-to-end data labeling processes independently, with minimal reliance on instructions.
9. Contribute to root cause analysis, identify error patterns, and suggest quality improvements.
10. Identify operational issues in SOPs and tools, and suggest improvements.
11. Provide floor support to clarify internal queries during task execution as needed.

A day in the life

We seek a ML Data Associate to perform foundational labeling tasks such as dialogue evaluation on speech, text, audio, and video data to enhance Alexa’s performance. Your focus, multitasking ability, and attention to detail will help you deliver high-quality work while maintaining confidentiality and adhering to Amazon policies. You will join a diverse team dedicated to advancing AI technology. Creativity, initiative, and a proactive attitude are highly valued.

About the team

The team works in-office Monday through Friday, with an eight-hour shift. We continuously seek to improve our capabilities and deliver the best products. Our team is diverse, and we offer regular meetings, training, and Amazon events throughout the year.

BASIC QUALIFICATIONS

• Fluent in English, including grammar and spelling (both written and verbal).
• Comfortable working with speech data from various dialects and accents of English.
• High school diploma or equivalent.
• At least 2 years of professional work experience with demonstrated task execution skills.
• Proficient in MS Office, with a typing speed of over 50 WPM.
• Ability to evaluate and write on diverse topics across domains.
• Effective use of open-source resources for research.
• Adaptability to fast-paced environments and changing strategies.
• Strong ownership, drive, and ability to meet daily deadlines.

PREFERRED QUALIFICATIONS

• Bachelor’s degree or equivalent experience.
• Experience with content management.
• Familiarity with US culture and communication; prior experience in ML is a plus.
• Ability to collaborate across teams and handle multiple tasks.

Amazon is an equal opportunity employer committed to diversity. We make hiring decisions based on experience and skills. We value your passion for innovation and building. Your privacy and data security are top priorities; see our Privacy Notice for details. We also provide accommodations for applicants with disabilities during the hiring process.