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Data Annotation Program Manager Jobs in Schofield, WI

... program data, and scale execution without proportional increases in headcount or resources ... Online community management and digital customer engagement strategy. Fluency in Google Suite ...

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... program data, and scale execution without proportional increases in headcount or resources ... Online community management and digital customer engagement strategy. Fluency in Google Suite ...

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Establish repeatable, automated data management processes for managing sensitive information * Own ... Company-paid Employee Assistance Program (EAP) and Calm App subscription * Employee-paid Pet ...

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Data Annotation Program Manager information

See Schofield, WI salary details

$30.9K

$96.8K

$171.5K

How much do data annotation program manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data annotation program manager in Schofield, WI is $96,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $125,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data annotation program manager, and why are they important?

To thrive as a Data Annotation Program Manager, you need expertise in project management, data quality assessment, and a solid understanding of machine learning or data annotation processes, typically supported by a relevant degree. Familiarity with annotation platforms, workflow management tools, and data labeling software is essential, along with knowledge of quality assurance frameworks. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills that help manage diverse teams and ensure stakeholder alignment. These skills are important to maintain high data quality, meet project deadlines, and drive successful AI model training initiatives.

How does a data annotation program manager coordinate with cross-functional teams to ensure project success?

A Data Annotation Program Manager regularly collaborates with engineering, data science, and quality assurance teams to align annotation guidelines, project timelines, and quality standards. They often facilitate meetings to clarify requirements, resolve ambiguities in data labeling, and provide feedback on annotation accuracy. This role serves as a bridge between technical teams and annotation staff, ensuring open communication and timely resolution of challenges, which is critical for delivering high-quality datasets essential for machine learning and AI projects.

What is a data annotation program manager?

Data Annotation Program Managers are professionals who oversee and coordinate data labeling projects, ensuring that data used for machine learning and artificial intelligence is accurately tagged and prepared. They manage teams of annotators, set project guidelines, monitor quality, and ensure deadlines are met. Their role is crucial for building high-quality datasets that enable reliable AI model training. Program Managers often collaborate with data scientists, engineers, and stakeholders to define requirements and improve annotation processes.
What cities near Schofield, WI are hiring for Data Annotation Program Manager jobs? Cities near Schofield, WI with the most Data Annotation Program Manager job openings:

NVIS Knowledge Management Program Manager

2100 NVIDIA USA

Wausau, WI โ€ข On-site

Full-time

Posted 14 days ago


Job description

NVIDIA Infrastructure Specialists (NVIS) deploy and support some of the world's most advanced AI infrastructure. Every deployment generates critical technical knowledge that enables faster execution, higher quality, and better customer outcomes. As NVIS continues to scale globally, knowledge management has become a strategic capability that directly impacts deployment velocity, operational excellence, and organizational learning. We are looking for a Knowledge Management Program Manager to guide and enhance the NVIS Knowledge Management initiative. This role is accountable for outlining the strategy, governance, operating model, and roadmap for knowledge management across NVIS. You will direct the development of our Knowledge Management platform while encouraging organizationโ€wide adoption, governance, content management powered by intelligent systems, and integration with NVIDIA's broader training and AI initiatives. You will ensure that technical knowledge is gathered, standardized, supervised, and readily available to accelerate AI Factory deployments worldwide! This role demands critical thinking and outstanding program leadership. It requires influencing others without authority. The role also needs skills to develop scalable programs that improve how an organization collects, shares, and employs knowledge. What you'll be doing: Define and lead the longโ€term strategy, roadmap, and governance model for the NVIS Knowledge Management program. Guide the creation of the Knowledge Base platform into the definitive reference for deployment, operational, and technical documentation across NVIS. Establish program metrics and executive dashboards to measure adoption, content quality, knowledge coverage, operational health, and business impact. Lead continuous improvement initiatives that simplify knowledge creation, improve discoverability, and increase organizational adoption. Champion AIโ€enabled knowledge management, intelligent search capabilities, and automated content generation workflows. Partner closely with NVIDIA Training & Education to align technical documentation, learning content, and enablement programs. Drive organizationโ€wide knowledge adoption through communications, organizational change, executive reporting, and engagement strategies. Lead a small Knowledge Management team, providing direction, prioritization, and operational leadership while encouraging continuous improvement. Represent NVIS within WWFO and influence enterpriseโ€wide knowledge management practices and platform direction. What we need to see: Bachelor's degree (or equivalent experience) in Knowledge Management, Communications, Engineering, Computer Science, Information Systems, Business, or a related field. 8+ years of program management, knowledge management, technical operations, or related experience leading complex multiโ€functional initiatives. Consistent record in establishing or expanding enterprise Knowledge Management programs, including governance, content lifecycle oversight, and adoption strategies. Demonstrated ability to define strategy, independently complete, and deliver measurable business outcomes with minimal direction. Experience working with enterprise Knowledge Management or IT Service Management systems. Experience developing executiveโ€level metrics, dashboards, and program reporting. Outstanding communication, executive presentation, and collaborator leadership skills. Strong analytical outlook with the ability to use data to drive prioritization, decision making, and continuous improvement. Ability to influence across organizations without direct authority. Ways to stand out from the crowd: Experience supporting AI infrastructure, data center operations, technical services, cloud infrastructure, or largeโ€scale deployment organizations. Experience implementing ServiceNow Knowledge Management solutions. Experience integrating AI technologies into knowledge management workflows, including AIโ€assisted content generation, intelligent search, or retrievalโ€augmented systems. Knowledge Management Professional (KMP) certification or similar formal knowledge management training. Passion for redefining organizational knowledge into a strategic business capability that improves execution speed, quality, and operational excellence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr