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

Amazon; Cambridge; On-site; GBP 30,000 - 50,000; Full time

Job description

DESCRIPTION

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

1. Maintain and follow strict confidentiality as customer privacy is our biggest tenet.
2. Work with a range of different types of data including but not limited to text, speech, image, and video.
3. Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software.
4. Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, and creating grammatically correct text, speech, image, and video annotation.
5. Ability to make logical decisions while performing tasks even when provided information is ambiguous.
6. Eye for detail and ability to pivot from one category of requirement to another instantaneously.
7. Demonstrate support for daily operational deliverables like AHT, quality, and TAT for multiple task types assigned to you and the team.
8. Demonstrate expertise in handling end-to-end data execution process related to labelling the tasks and be less dependent on work instructions.
9. Contribute to root cause analysis, identify error patterns, and identify solutions to improve quality of labelling tasks.
10. Responsible for identifying day-to-day process and operational issues in SOP, tools, and suggest changes to unblock operations.
11. Demonstrate ownership in floor support to clarify internal queries during execution on a 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, and video data, to assess and improve Alexa's performance in everyday situations.
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 following all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.

About the team

The team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. A diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

BASIC QUALIFICATIONS

1. Fluent proficiency in English language, including grammar and spelling (both written and verbal).
2. Comfortable working with speech from various dialects and accents of one or more of the following regional languages: English.
3. High-School or equivalent diploma.
4. 2+ years of professional work experience with demonstrated task execution ability.
5. Excellent computer skills, including MS Office, with good typing speed (> 50 wpm and above).
6. Ability to effectively write and evaluate diverse subject matter across various domains.
7. Proven capacity to leverage open-source resources effectively for comprehensive research purposes.
8. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
9. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential.

PREFERRED QUALIFICATIONS

1. Bachelor's degree in a relevant field or equivalent professional experience.
2. Familiarity with content management may be beneficial.
3. Exposure to US culture/communication, prior experience in Machine learning domain will be an added advantage.
4. Ability to work across multiple teams and multi-task on programs.

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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.