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Data Annotation Program Manager Jobs in Reston, VA

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is responsible for redacting sensitive information from files and reviewing, labeling, and categorizing

CaseGuard

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

We are seeking a detail-oriented Data Entry to support data preparation initiatives. This role is responsible for redacting sensitive information from files and reviewing, labeling, and categorizing

Jobtailor

Technical Project Manager

Washington, DC · On-site

$120 - $150/hr

* 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

YO AI Labs

AI Finance Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Job Title: AI Finance Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an

Innodata Inc.

AI Solutions Engineer

Washington, DC

$75 - $80/hr

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,

NTT DATA Services

Program Manager

Arlington, VA · On-site

$117K - $195K/yr

Req ID: 384643 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking

NTT DATA Services

Program Manager

Arlington, VA

$117K - $195K/yr

Req ID: 384643 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking

NTT DATA Services

Program Manager

Arlington, VA

$117K - $195K/yr

Req ID: 384643 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking

OpenDataJobs

Data Program Manager Role

Washington, DC · On-site

The work Data Program Managers turn a collection of technical projects into one coordinated program that delivers. They align teams, funding, dependencies, schedules, risks, and decisions across data

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Data Annotation Program Manager information

See Reston, VA salary details

$32.3K

$101.1K

$178.9K

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

As of Aug 26, 2026, the average yearly pay for data annotation program manager in Reston, VA is $101,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $130,600.00 per year, depending on experience, location, and employer.

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.

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Data Annotation Program Manager jobs near you

Data & Annotation Engineer

Washington, DC

Innodata Inc.
IT Services • 501 - 1,000 employees

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

166th of 246 rated software companies

Good employer

Respectful managers

Good training

Learn more about Innodata Inc.external

$55 - $60/hr

Full-time

Re-posted 16 days ago

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 Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data.

Key Responsibilities:

  • Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
  • Produce the ODIN load report: corpus description, ontology mapping, readiness state
  • Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack
  • Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production
  • Produce 50-100 label demonstration corpus across synthetic and mission-aligned content
  • Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
  • Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect

Must-Have Qualifications:

  • Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
  • 5+ years total professional experience, 3+ years in data engineering or annotation operations
  • CVAT - deployment and day-to-day operation required; this is not a nice-to-have
  • Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment
  • Full-motion video (FMV) annotation concepts and tooling
  • Python scripting for data wrangling, validation, and format conversion
  • Active Secret clearance with TS/SCI eligibility

Nice-to-Have Qualifications:

  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis
  • CVAT annotation platform - AI feature configuration and operation
  • DoD or IC data program experience: CUI, distribution statements, federal data governance
  • Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
  • Video understanding or FMV annotation experience
  • DataCard or ML data provenance framework familiarity

The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.

Note to Candidates: 

Phase D corpus production (Weeks 17-19) is the core demonstration deliverable. Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline

What Innodata employees say

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