ML Data Associate-II, Artificial General Intelligence

AI is the most transformational technology of our time capable of tackling some of humanitys 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 just dont think outside the box but make the box bigger.
The future is now. Do you want to be a part of it Then read on!


Key job responsibilities
Maintain and follow strict confidentiality guidelines as customer privacy is our top priority
Work with a wide range of different types of data including but not limited to text speech image and video
Deliver high-quality labelled data utilizing in-house tools software and guidelines to meet our Key Performance Indicators
Serve as a subject matter expert for Machine Learning (ML) data workflows.
Demonstrate proficiency in research ranking responses based on factual and grammatical accuracy and creating grammatically correct text speech image and video annotation
Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
Rapidly switch from one category of work to another all while maintaining attention to detail
Demonstrate expertise in handling end-to-end data execution processes related to LLM labelling tasks
Analyze root causes identify error patterns and propose solutions to enhance the quality of labeling tasks and their outputs
Identify and escalate operational issues within day-to-day process standard operating procedures and tools.
Suggest ways to invent and simplify and/or unblock operational workflows


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 video data.

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 follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers lives with practical useful generative AI innovations. An inner drive individuality and a creative mind are extremely beneficial.



An Associates Degree or related work experience
C1 or equivalent fluency in English language
Strong business writing skills with ability to create reports proposals and professional correspondence
Advanced reading comprehension with ability to analyze complex business documents
Developed analytical thinking and structured problem-solving capabilities
Strong ability to interpret and implement detailed instructions across various projects
Proficient research skills with experience gathering and synthesizing information from multiple sources
Proven attention to detail in managing complex tasks and documents
Experience managing stakeholder relationships across departments
Advanced proficiency in Microsoft Office Suite and common business applications.


Bachelors degree in a relevant field
2 years of professional work experience with demonstrated task execution ability
Proven capacity to leverage open-source resources effectively for comprehensive research purposes
Ability to adapt well to fast-paced environments with changing circumstances direction and strategy



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $43680/year in our lowest geographic market up to $47840/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.