ML Data Operations Manager, AI Data Lanague Services
Amazon.com
Amazon Web Services (AWS) is looking for a Machine Learning Data Operations manager to lead a team of data associates, working on speech transcription, text annotation, data collection and data analysis.
As part of the AI Data Team at AWS you will be 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. This role is currently operating fully remote, and it’s subject to change depending on future change in AWS or team policy.
ROLE
You will lead a team of Machine Learning Data Linguists (MLDLs) who are responsible for the ML data annotation work, enabling the successful delivery of high quality data to our customers. You will be working closely with our customers, Program Managers and Language Engineers, for the different language services we have, on taking in requests and planning their execution with our internal resources. In your day-to-day, you will have meetings with customers and peers to prioritize MLDL work, track projects’ progress, and work closely with other ML Operations managers on optimizing our processes. Your main activities will be: 1) managing your team, including providing guidance and feedback, working on MLDL promotions and professional development, and leading your team to achieve target KPIs 2) operations management and planning, which includes resource planning, stakeholder communications, and support team reporting, and 3) the creation and improvement of team documentation and processes, contributing to our organization initiatives and goals.
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. As our immediate team grows, we are developing new roles and opportunities for career growth, including technical, management, and more specialized language roles. We have a culture of sharing feedback and coaching our team members in order to enable better solutions and performance. At Amazon, employees also have opportunity to explore new roles and industries outside of their immediate team by transferring to a new business across the company.
Key job responsibilities
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
We are open to hiring candidates to work out of one of the following locations:
Virtual Location - USA
As part of the AI Data Team at AWS you will be 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. This role is currently operating fully remote, and it’s subject to change depending on future change in AWS or team policy.
ROLE
You will lead a team of Machine Learning Data Linguists (MLDLs) who are responsible for the ML data annotation work, enabling the successful delivery of high quality data to our customers. You will be working closely with our customers, Program Managers and Language Engineers, for the different language services we have, on taking in requests and planning their execution with our internal resources. In your day-to-day, you will have meetings with customers and peers to prioritize MLDL work, track projects’ progress, and work closely with other ML Operations managers on optimizing our processes. Your main activities will be: 1) managing your team, including providing guidance and feedback, working on MLDL promotions and professional development, and leading your team to achieve target KPIs 2) operations management and planning, which includes resource planning, stakeholder communications, and support team reporting, and 3) the creation and improvement of team documentation and processes, contributing to our organization initiatives and goals.
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. As our immediate team grows, we are developing new roles and opportunities for career growth, including technical, management, and more specialized language roles. We have a culture of sharing feedback and coaching our team members in order to enable better solutions and performance. At Amazon, employees also have opportunity to explore new roles and industries outside of their immediate team by transferring to a new business across the company.
Key job responsibilities
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
We are open to hiring candidates to work out of one of the following locations:
Virtual Location - USA
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