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Annotation Program Manager Jobs (NOW HIRING)

Data & Annotation Engineer

Washington, DC ยท On-site

$55 - $60/hr

About the Program: Innodata's Federal Practice builds the trusted data layer for critical ... You'll administer the annotation toolchain, manage annotation workflows across the corpus, and ...

$55 - $60/hr

About the Program: Innodata's Federal Practice builds the trusted data layer for critical ... You'll administer the annotation toolchain, manage annotation workflows across the corpus, and ...

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Annotation Program Manager information

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$38.5K

$107.5K

$157K

How much do annotation program manager jobs pay per year?

As of Sep 15, 2026, the average yearly pay for annotation program manager in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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For Annotation Program Manager jobs, the most frequently searched job titles are:

Senior Program Manager, Human Data Operations

Seattle, WA โ€ข On-site

mpathic
Software Developmentย โ€ขย 1 - 10 employees

$132K - $132K/yr

Other

Re-posted 5 days ago


Job description

About the Role

mpathic is seeking a Senior Program Manager, Human Data Operations to lead the execution and operational delivery of complex AI safety, evaluation, human data, and red teaming programs for leading AI companies. This role owns the overall delivery program across multiple customer engagements, leading a team of Project Coordinators while ensuring operational excellence, quality, staffing coordination, and execution across multiple delivery sites.

This leader serves as the operational hub for Human Data Operations, partnering closely with executive leadership, project managers, staffing, quality assurance, engineering, product, AI/ML, research, and customer-facing teams to ensure programs are delivered on time, at high quality, and at scale.

In addition to overseeing customer programs, this role is responsible for coordinating facilities and site operations across multiple delivery locations, ensuring each site is prepared to support staffing, security, operational readiness, and program execution.

This role combines strategic program leadership with handsโ€‘on operational execution and is ideal for someone who thrives managing multiple workstreams, developing project managers, and building scalable operational systems in a fastโ€‘paced AI environment.

What You'll Do Lead the Human Data Delivery Program
  • Own the overall execution of AI safety, evaluation, annotation, red teaming, and human data programs.
  • Oversee end-to-end delivery from customer handoff through staffing, execution, quality review, reporting, and final delivery.
  • Develop scalable operational systems that improve visibility, throughput, quality, and predictability.
  • Establish governance, reporting, risk management, and communication standards across all programs.
  • Ensure consistent execution methodologies across customer engagements.
Lead and Develop Project Coordinators
  • Manage, mentor, and develop a team of Project Coordinators responsible for customer delivery.
  • Provide coaching, guidance, and operational oversight while enabling Project Coordinators to own day-to-day execution.
  • Balance workloads and allocate project management resources across programs.
  • Establish project management best practices, operating rhythms, and performance metrics.
  • Support hiring, onboarding, and development of additional program management staff as the organization grows.
Coordinate Multiโ€‘Site Facilities Operations

Serve as the operational lead for multiple Human Data delivery sites by:

  • Coordinating facility readiness and operational support across locations.
  • Partnering with workplace operations, IT, security, and leadership to ensure sites are prepared for program execution.
  • Supporting expansion into new operational sites as business needs evolve.
  • Standardizing operational processes and ensuring consistency across facilities.
  • Addressing facilityโ€‘related operational issues that could impact staffing or delivery.
What Youโ€™ll Accomplish In Your First 90 Days
  • Build a deep understanding of mpathicโ€™s Human Data Operations and AI safety workflows.
  • Establish relationships with Project Managers, executive leadership, QA, staffing, engineering, and customer teams.
  • Take ownership of multiple customer programs.
  • Assess operational readiness across delivery sites.
  • Identify opportunities to improve delivery processes and operational efficiency.
In Your First Year
  • Successfully oversee delivery across multiple customer programs.
  • Develop a highโ€‘performing team of Project Coordinators.
  • Build scalable program governance and reporting.
  • Improve quality, throughput, and operational efficiency.
  • Establish standardized delivery practices across teams and facilities.
  • Help define how Human Data Operations scales as mpathic grows.
Required Experience
  • 7+ years leading complex programs, operations, or largeโ€‘scale services delivery.
  • 3+ years managing Project Managers or operational leaders.
  • Experience leading distributed teams including experts, annotators, reviewers, QA personnel, contractors, or similar operational workforces.
  • Demonstrated success managing multiple concurrent customer programs.
  • Experience partnering with executive stakeholders.
  • Experience operating in highโ€‘growth or startup environments.
  • Experience building scalable operational systems and delivery processes.
  • Experience coordinating operations across multiple offices or delivery sites is strongly preferred.
Preferred Qualifications
  • PMP, PgMP, Agile, Scrum, Lean, or equivalent program management certification.
  • Experience with AI safety, LLM evaluation, humanโ€‘inโ€‘theโ€‘loop systems, annotation, red teaming, or trust & safety.
  • Experience leading multiโ€‘site operations or facilities coordination.
  • Experience scaling operational organizations through rapid growth.
  • Strong background in quality management, workforce planning, and operational excellence.
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