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Manager Ai Annotation Jobs in Washington (NOW HIRING)

QA / Evaluation Lead

Washington, DC · On-site

$45 - $50/hr

Support AI Solutions Engineer on evaluation design for SAM 2 and Frontier model API validation ... CVAT or equivalent annotation platform QC workflow configuration * Drift detection and model ...

Showing results 21-40

Manager Ai Annotation information

What is the difference between Manager Ai Annotation vs Data Annotator?

AspectManager Ai AnnotationData Annotator
Required CredentialsBachelor's degree in related field, experience in AI projectsHigh school diploma or equivalent, on-the-job training
Work EnvironmentTeam management, project oversight, collaboration with data scientistsData labeling tasks, working with annotation tools
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding managerial roles in AI annotationEntry-level annotation tasks

The main difference between Manager Ai Annotation and Data Annotator lies in their responsibilities and experience. Managers oversee annotation projects, coordinate teams, and ensure quality, requiring leadership skills and experience. Data Annotators focus on labeling data accurately under supervision. Managers typically have higher credentials and work in strategic roles, while annotators perform the hands-on labeling tasks essential for AI training.

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Working Technical Project Manager

Innodata Inc.

Washington, DC • On-site

$50 - $55/hr

Full-time

Posted 29 days ago


Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

161st of 242 rated software companies


Job description

About the program:

Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.

About the role:

As the Working Technical Program Manager, you'll be the day-to-day engine that keeps this program moving. Working alongside the Delivery Owner, you'll own the schedule and keep the team on track across five key milestones, coordinate directly with our partner's working-level teams, package and deliver work products, and administer the program's toolchain. It's a hands-on role for someone who thrives on execution, tight coordination, and turning ambitious technical goals into delivered outcomes.

Key Responsibilities:

  • Own day-to-day WBS execution and schedule maintenance against the 24-week program schedule
  • Draft weekly status reports for Delivery Owner review before AFS submission
  • Manage AFS working-level coordination: technical POCs, dependency tracking, acceptance criteria follow-up
  • Maintain risk and issue log; escalate decisions and blockers to the Delivery Owner
  • Package and submit phase-milestone deliverables with explicit acceptance requests and deadline tracking
  • Administer CVAT + SAM 2 toolchain in coordination with the Data & Annotation Engineer
  • Facilitate standups, working sessions, and phase gate preparation
  • Coordinate Technical Writer onboarding and documentation production in Phase E

Must-Have Qualifications: 

  • Bachelor's degree in a technical, business, or related field required; equivalent experience may substitute for degree on a 2-for-1 basis. PMP certification strongly preferred.
  • 7+ years total professional experience, 4+ years in federal program or technical project management
  • Hands-on experience with annotation platforms - CVAT strongly preferred
  • Comfortable authoring technical documentation: run books, user guides, status reports
  • Controlled Unclassified Information (CUI) handling and federal data security awareness
  • Strong working-level stakeholder communication in federal environments
  • Active Secret clearance with TS/SCI eligibility

Nice-to-Have Qualifications:

  • Prior DoD AI/ML data program experience (annotation, dataset engineering, data governance)
  • Familiarity with DataCard or data provenance governance concepts
  • Prior OTA or FFP subcontract management experience
  • Experience with milestone-based invoicing and acceptance management

The expected hourly salary range for this position is $50 to $55 p/hour, based on experience, skills, and qualifications.

Note to Candidates

This role operates under direct oversight of the Delivery Owner. Ideal candidates are strong executors who can run a tight program cadence with minimal overhead.


What Innodata employees say

Hours and flexibility

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