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Quality Assurance Data Annotation Jobs in Washington

Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

New

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Follow detailed annotation and redaction standards to ensure consistency ... Conduct quality checks to identify errors or inconsistencies. * Handle sensitive data with ...

Data Annotation Specialist

Arlington, VA

$40K - $50K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Follow detailed annotation and redaction standards to ensure consistency ... Conduct quality checks to identify errors or inconsistencies. * Handle sensitive data with ...

QA / Evaluation Lead

Washington, DC · On-site

$45 - $50/hr

As the QA/Evaluation Lead, you'll own quality and evaluation across the platform. You'll design the ... Prior DoD or IC data quality program experience * CVAT or equivalent annotation platform QC ...

Quality Assurance * Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical ... Data Annotation * Problem-Solving * Independent Research * Attention to Detail Preferred ...

New

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge ... About the Role The QA Lead owns the end-to-end test strategy for the platform, coordinating system ...

QA Lead

Washington, DC · On-site +1

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge ... About the Role The QA Lead owns the end-to-end test strategy for the platform, coordinating system ...

The QA Lead will be responsible for developing and implementing quality standards and procedures to ... Proficient in using quality management systems (QMS), test automation tools, and data analysis ...

The QA Lead will be responsible for developing and implementing quality standards and procedures to ... Proficient in using quality management systems (QMS), test automation tools, and data analysis ...

Quality Assurance (QA) Lead

Reston, VA · On-site

$92K - $166K/yr

  • Medical

  • Retirement

  • PTO

The QA Lead will be responsible for developing and implementing quality standards and procedures to ... Proficient in using quality management systems (QMS), test automation tools, and data analysis ...

Quality Assurance (QA) Lead

Manassas, VA · On-site

$92K - $166K/yr

  • Medical

  • Retirement

  • PTO

The QA Lead will be responsible for developing and implementing quality standards and procedures to ... Proficient in using quality management systems (QMS), test automation tools, and data analysis ...

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Data & Annotation Engineer

Innodata Inc.

Washington, DC

$55 - $60/hr

Full-time

Re-posted 5 days ago


Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

162nd of 244 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 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


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