ML Operations Manager - AWS AI, Bedrock Data Team

Amazon Web Services (AWS) is looking for a data associate to help with annotations and data analysis. As part of the AiData Team at AWS you will responsible for delivering high-quality training data to ensure the best performance of the AWS machine learning systems. Our goal is to produce the highest quality training data in the industry and to delight our customers by improving human language understanding and natural language processing.

Amazon Bedrock is a fully managed service that offers a choice of foundation models (FMs) from AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API, with customizable capabilities needed to build generative AI applications with security, privacy, and responsible AI. As MLDLs, we belong to the Data division of Bedrock, with our work serving to collect, annotate, and QA data used to train the various Bedrock models. Other divisions of Bedrock include Engineering and Science.

Key job responsibilities
* Collaborate with other Ops Managers to enable the success of the people on your team.
* Oversee transcription, data annotation and data collection tasks for our language services customers.
* Review customer requests and plan resources for annotation tasks.
* Ensure on-time delivery of data annotation.
* Conduct regular audits to ensure data protocols are met.
* Generate reports related to team performance, goals, project status, and tooling when required.
* Streamline and refine processes to drive continuous improvement.
* Ability to hire, develop, and promote ML Data Associates. Ability to handle HR processes in partnership with their manager/HR as needed.
* Evaluate team performance based on metrics and deliverables.
* Provide regular coaching and feedback on performance, and support individual career development plans in one-on-one meetings.
* Facilitate and conduct team meetings, present proposals to diverse audiences.

About the team
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.


Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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.

Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.

We are open to hiring candidates to work out of one of the following locations:

Virtual Location - USA

Basic Qualifications

* Bachelor’s degree or equivalent in training and/or work experience.
* Excellent written and verbal communication skills.
* Excellent organizational skills, ability to prioritize and help their team focus on wh