Ml Data Associate I, Aws Bedrock

Bachelor's degree
- Speak, write, and read fluently in English

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Have you always wanted to be a part of something bigger? Something that charts a course to the future? Do you want to see the work you do make a change in the world of tomorrow? Do you thrive on solving problems, spotting patterns and working in an ever-changing environment?
AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why, Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses.
We are looking for Data Associates, who just don’t think out of the box, but make the box they are in even “Bigger”. We want to inflate the scope of thinking, dive into the abyss of knowledge and exhume the pearls of creativity. The future is now, do you want to be a part of it? Then read on
Key job responsibilities
Attention to detail (linguistically and culturally)
Strong grammar skills
Critical thinking and analytical skills when it comes to evaluating linguistic data (ask questions)
Ability to identify potential biases (and be aware of your own biases)
Sufficient annotator experience to identify when there is a major issue with the task that should be escalated
Experience in some specific domains, like healthcare, finance, retail, etc
Having strong writing/communication skills to communicate with stakeholders.
Quality assurance experience
Good research and reading comprehension skills.
Willing to work round in PST timezone.
A day in the life
We are looking for a Data Associate (DA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech & text data, to assess and improve performance in everyday situations.
To make a mark, one needs to be an expert, your adaptability, focus, and attention to detail in a dynamic need to be unparalleled. To pride yourself on your ability to recognize issues, not succumb to pressure, but come up with an elegant and innovative solution to tackle any hurdle from the goal while working on multi-data modalities.
About the team
Diverse Experiences
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
- Bachelor's degree in a relevant field, such as Linguistics, Communications, a foreign language, or other language or data-related disciplines, including teaching.
- Experience with natural language data labeling, data annotation, linguistic annotation or other forms of data markup.