Data Annotation Program Manager, Bedrock Human Data Services
Amazon
DESCRIPTION
Are you interested in AI technologies and contribute to its success by creating high quality and effective data collection strategies and operational plans? AWS Bedrock Human Data Services Team is looking for a strong Data Annotation Program Manager who can lead an internal off-shore team to collect and deliver high quality data sets for our highly sophisticated AI programs.
As a Data Annotation Program Manager on the team, you will work with multiple teams on the data collection and annotation requirements, and facilitate the execution through our large in-house off-shore annotation team. You will be responsible for the deliveries from this large scale annotation team directly influencing the overall operations end-to-end from work intake to delivery.
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.
Key job responsibilities
The ideal candidates would be
· have strong written and verbal communication skills
· have strengths in problem solving and high attention to detail
· have the ability to track multiple tasks and workflows
· have the ability to work across functional disciplines to deliver high quality data
· have knowledge of AI data requirements with regards to data generation, annotation, and model human evaluation
· have strong experience in operational planning and execution specifically with off-shore large scale teams
· have the ability to work efficient and independently to manage multiple work streams
· have strong experience in operational risk assessment, management, and mitigation
A day in the life
As a Data Annotation Program Manager, you will interact with our US-based Science and Data team on data objectives and participate in the operational planning to achieve these objectives with resources based in India. You will work as the liaison between the US and India Program Management team who is your counterpart in the execution. You will track, manage, and assess risks for all of the data annotation work streams with other program managers to ensure the successful delivery of the data within realistic timeline and quality expectations.
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.
BASIC QUALIFICATIONS
- 3+ years of program or project management experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- BS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc...)
- 2+ years experience with data annotation, evaluation, curation, and generation
- Excellent oral and written communication skills to various levels of management, technical and non-technical audiences, and cross team stakeholders
- Strong organizational skills
- Knowledge of generative AI principles
- Experience with people management and lead through influence
PREFERRED QUALIFICATIONS
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
- MS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc...)
- Experience with multi-modal data specification and requirements, data annotation and natural language processing
- Experience with managing a large scale data annotation workforce
- Experience with operational logistics such as resource forecasting, workflow management, capacity planning
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,800/year in our lowest geographic market up to $142,800/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.