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Data Annotation Program Manager Jobs in Vermont (NOW HIRING)

Alumni Engagement Manager

Winooski, VT · On-site

$50K - $70K/yr

Alumni Engagement Manager Position Summary DREAM seeks a relationship-driven and highly organized ... Work with development, communications, program, data, and regional staff to coordinate alumni ...

Alumni Engagement Manager

Winooski, VT · On-site

$50K - $70K/yr

Alumni Engagement Manager Position Summary DREAM seeks a relationship-driven and highly organized ... Work with development, communications, program, data, and regional staff to coordinate alumni ...

Translate program outcomes, stories, and data into clear, compelling narratives for funders and ... Project Management: Strong project management skills, including the ability to manage multiple ...

Data Engineer

Colchester, VT · On-site +1

$150K/yr

API Development & Management: Snowflake Streamlit, microservices architecture, and cursor-based ... THIS POSITION IS ELIGIBLE FOR THE EMPLOYEE REFERRAL PROGRAM Apply online at (Job ID: 4042189

Showing results 21-40

Data Annotation Program Manager information

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.

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 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.

What job categories do people searching Data Annotation Program Manager jobs in Vermont look for?

The top searched job categories for Data Annotation Program Manager jobs in Vermont are:

SOW Organizational Change Manager - Health Data Modernization Program

Trioptus

Montpelier, VT • On-site

Contractor

Re-posted 18 days ago


Job description

Job Title: OCM - Organizational Change Manager (Health Data Modernization Program)

Job Type: Contract (Full-Time)

Location: Remote/Hybrid (U.S.–Based)

Work Environment: Cross‑functional collaboration with technical, governance, and leadership teams

Contract Duration: 12–18 months

Position Overview

A Communications & Change Manager is needed to support a large-scale health data modernization initiative. This role drives organizational readiness, supports stakeholder adoption, and ensures the success of new data workflows, governance practices, and modernized technical platforms. The position blends communications strategy, change management leadership, training development, and Agile alignment to support the rollout of updated data ingestion, governance, and DataOps processes.

Key Responsibilities

Change Management & Organizational Readiness

  • Develop and maintain comprehensive Change Management Plans (CMPs) including stakeholder mapping, impact analysis, training roadmaps, and risk mitigation strategies.
  • Integrate change tasks into Agile sprint planning and release cycles.

Stakeholder Engagement

  • Identify impacted internal and external user groups and determine required support.
  • Collaborate with product, governance, and technical leads to align changes with system updates, data governance rules, and security adjustments.

Communications Strategy

  • Create a Messaging & Channel Plan outlining audiences, timing, channels, and communication frequency.
  • Produce clear, release‑aligned communication content (FAQs, release notes, talking points, infographics).
  • Maintain a communications calendar linked to system releases and cutovers.

Training & Adoption Support

  • Build role‑based training curricula and learning materials (job aids, videos, workshops).
  • Support training on Azure DevOps, governance tools, and Power BI dashboards.
  • Track training completion, gather learner feedback, and iterate on training effectiveness.

Cutover & Legacy System Retirement

  • Develop Cutover & Legacy Retirement Playbooks with detailed migration steps, contingency plans, and communication workflows.
  • Validate downstream dependencies and ensure proper documentation of decommissioned processes.

Metrics, Reporting & Governance

  • Build Adoption & Readiness Dashboards (in Power BI or ADO) to track KPIs such as training completion, governance throughput, release quality, and system reliability.
  • Provide regular executive briefings, portfolio visibility reports, and highlight summaries for leadership.
  • Embed governance artifacts (glossary, lineage, survivorship rules) into sprint definitions of done.

Continuous Improvement

  • Collect stakeholder feedback using surveys, office hours, retrospectives, and feedback loops.
  • Identify key issues and drive quarterly action plans for improvement.

Required Skills & Qualifications

  • Strong background in change management, communications, and stakeholder engagement.
  • Experience developing change plans, communication strategies, and training materials for technical environments.
  • Ability to translate complex technical changes into easily understandable content.
  • Experience with or familiarity with:
    • Azure DevOps (Boards, Wikis, Pipelines)
    • SharePoint
    • Power BI
    • Power Automate
  • Excellent writing, facilitation, and cross‑functional collaboration skills.
  • Change management certification (e.g., Prosci, CCMP) preferred.

Key Deliverables

  1. Change Management Plan
  2. Stakeholder Mapping & Impact Assessment
  3. Messaging & Channel Plan
  4. Release-Aligned Communications
  5. Training Curriculum & Learning Materials
  6. Cutover & Legacy System Retirement Playbooks
  7. Adoption & Readiness Dashboard
  8. Governance‑Embedded Change Tasks
  9. Executive Portfolio Reporting
  10. Continuous Improvement Mechanisms

Technology Environment

  • Azure DevOps
  • SharePoint
  • Power BI
  • Power Automate
  • AWS Data Lake (Medallion Architecture)
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