ML Data Associate I, AWS Bedrock

ML Data Associate I, AWS Bedrock

Description

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
The team work in the office (PST timezone). We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.

Basic Qualifications

- Bachelor's degree
- Knowledge of Microsoft Office products and applications
- Speak, write, and read fluently in English

Preferred Qualifications

- 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.