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Annotation Jobs in Ashburn, VA (NOW HIRING)

Innodata Inc.

AI Solutions Engineer

Washington, DC · On-site

$75 - $80/hr

You'll partner with the Solution Architect and Data/Annotation Engineer to turn raw corpora into high-quality, model-ready data. This role suits an engineer who's fluent across modern AI tooling and ...

Innodata Inc.

Senior Data Annotator

Washington, DC · On-site

Own annotation quality for a delivery team. A Senior Annotator personally handles the hardest annotation work, runs the QA process everything else passes through, trains and develops junior ...

New

Innodata Inc.

Data Annotator

Washington, DC · On-site

Annotators work to a defined ontology and labeling specification, meet project quality and throughput targets, and operate inside the designated annotation environment for each program. Assignments ...

New

Innodata Inc.

QA / Evaluation Lead

Washington, DC · On-site

$45 - $50/hr

Design and implement confidence-threshold escalation routing from automated annotation to senior-annotator adjudication * Validate quality scoring and IAA computation within the Innodata data layer

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Annotation information

See Ashburn, VA salary details

$46K

$59.7K

$99.7K

How much do annotation jobs pay per year?

As of Sep 12, 2026, the average yearly pay for annotation in Ashburn, VA is $59,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $59,300.00 per year, depending on experience, location, and employer.

What is an annotation?

An annotation job involves labeling or tagging data, such as text, images, audio, or video, to help train artificial intelligence and machine learning models. Annotators manually or semi-automatically add metadata, such as identifying objects in images, transcribing speech, or categorizing text. This process improves AI accuracy by providing high-quality training data. Annotation work is crucial for industries like autonomous driving, healthcare, and natural language processing.

What are the typical projects or tasks an annotation specialist works on?

Annotation specialists typically work on projects involving the labeling and categorizing of data—such as images, videos, audio, or text—to train machine learning models. Weekly tasks may include reviewing raw data, applying specific tagging guidelines, performing quality checks on completed annotations, and collaborating with team members or machine learning engineers to ensure accuracy and consistency. Frequent feedback sessions and ongoing updates to annotation instructions are common as project requirements evolve. This role often requires close teamwork and clear communication within a collaborative environment, especially for large-scale or rapidly changing projects.

What are the key skills and qualifications needed to thrive in the annotation position?

Excelling in an Annotation role generally requires keen attention to detail, strong analytical abilities, and a high level of accuracy, often backed by a relevant educational background. Familiarity with annotation tools, data labeling software, and sometimes basic programming or data management platforms is valuable. Effective time management, consistency, and clear communication are soft skills that differentiate top performers. These competencies are crucial to ensuring data quality and supporting the development of machine learning and AI systems.

What are annotation jobs?

Annotation jobs involve labeling or tagging data, such as images, text, or audio, to help train machine learning models. These roles often require attention to detail and familiarity with annotation tools or software, and they are commonly performed remotely or in a digital environment.

What skills are needed for annotation?

Annotation jobs require strong attention to detail, good reading comprehension, and the ability to follow specific guidelines. Familiarity with data labeling tools and basic computer skills are also important. Accuracy and consistency are essential for producing high-quality annotated data.

What are the most commonly searched types of Annotation jobs in Ashburn, VA?

The most popular types of Annotation jobs in Ashburn, VA are:

What are popular job titles related to Annotation jobs in Ashburn, VA?

For Annotation jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Annotation jobs in Ashburn, VA look for?

The top searched job categories for Annotation jobs in Ashburn, VA are:

What cities near Ashburn, VA are hiring for Annotation jobs?

Cities near Ashburn, VA with the most Annotation job openings:

Annotation jobs near you
Infographic showing various Annotation job openings in Ashburn, VA as of September 2026, with employment types broken down into 1% As Needed, 46% Full Time, 49% Part Time, and 4% Contract. Highlights an 39% Physical, 1% Hybrid, and 60% Remote job distribution, with an average salary of $59,735 per year, or $28.7 per hour.

Data & Annotation Engineer

Washington, DC

Innodata Inc.
IT Services • 501 - 1,000 employees
Learn more about Innodata Inc.external

$55 - $60/hr

Full-time

Re-posted 3 days ago

Key responsibilities

  • Administer the annotation toolchain, manage annotation workflows, and produce documentation for governance.

  • Configure and operate the CVAT annotation pipeline during corpus production.

  • Support quality control and associate provenance records with annotated and synthetic outputs.

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

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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