Data Annotation Program Manager, Bedrock Human Data Services
Company: Amazon Development Center U.S., Inc.
Location: Santa Clara
Posted on: October 2, 2024
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Job 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 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 This position will remain posted until filled. Applicants
should apply via our internal or external career site.
Keywords: Amazon Development Center U.S., Inc., San Mateo , Data Annotation Program Manager, Bedrock Human Data Services, Executive , Santa Clara, California
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