ZipRecruiter

Log In

1

Director Data Annotation Ai Content Writer Jobs in Washington

Innodata Inc.

Data & Annotation Engineer

Washington, DC · On-site

$55 - $60/hr

... write-back capabilities. About the Role: As the Data/Annotation Engineer, you'll be hands-on with ... You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate ...

Jobtailor

Data Annotation Engineer

Washington, DC · On-site

$120 - $180/hr

Produce 50-100 label demonstration corpus across synthetic and mission-aligned content * Support QA ... Full-motion video (FMV) annotation concepts and tooling * Python scripting for data wrangling ...

Mondo

Content Writer

Centreville, VA · Remote

$35 - $41/hr

Leverage AI tools such as Claude to support and streamline documentation workflows. Minimum Requirements: * 3-5 years of experience in technical writing, product documentation, content writing, or ...

YO AI Labs

AI Finance Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Content Review & Editing * Fact Checking * Data Interpretation * Data Annotation * Problem-Solving ... Excellent written communication and professional editing abilities. * Experience with prompt ...

CaseGuard

Content Writer

Arlington, VA · On-site

$60K - $70K/yr

The Content Creator will have the responsibility of generating blog posts, analyzing client data to ... Conduct thorough research on various topics such as AI, Redaction, and FOIA to ensure accurate ...

CaseGuard

Content Writer

Arlington, VA

$60K - $70K/yr

The Content Creator will have the responsibility of generating blog posts, analyzing client data to ... Conduct thorough research on various topics such as AI, Redaction, and FOIA to ensure accurate ...

Aasritha infotech Inc

Content Writer

Washington, DC · On-site

Content Writer Location: Washington, DC (Hybrid) Duration: 6+ months Technical Skills: Years/Level ... AI tools that simplify content workflow. Education Level : College Degree Work Location On-site ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

YO AI Labs

AI Consulting Expert - Remote

Washington, DC · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... Writing * Business Communication * Content Review & Editing * Data Interpretation * Data Annotation

next page

Showing results 1-20

All JobsData Annotation Ai Content Writer JobsDirector Data Annotation Ai Content Writer JobsDirector Data Annotation Ai Content Writer Jobs in Washington

Director Data Annotation Ai Content Writer information

What is a director data annotation AI content writer?

A Director Data Annotation AI Content Writer is a senior professional responsible for overseeing teams that create, manage, and optimize data labeling and content generation for artificial intelligence systems. This role combines leadership with expertise in data annotation processes and AI-driven content production, ensuring high quality annotated datasets and effective content for training machine learning models. The director collaborates with data scientists, engineers, and content strategists to develop guidelines, maintain data integrity, and streamline workflows. They also stay updated on industry trends to implement best practices and new technologies in AI content and annotation. Overall, this position is crucial for organizations aiming to improve the performance and accuracy of their AI solutions.

What are the key skills and qualifications needed to thrive as a director data annotation AI content writer?

To excel as a Director of Data Annotation AI Content Writer, you need expertise in data annotation processes, AI/machine learning concepts, and strong writing or editorial skills, often supported by a relevant degree and experience in AI-driven content projects. Familiarity with annotation tools (like Labelbox or Amazon SageMaker Ground Truth), project management software, and data quality standards is typically required. Exceptional leadership, communication, and problem-solving skills enable effective team management and cross-departmental collaboration. These abilities are crucial to ensure high-quality labeled data, drive AI project success, and maintain clear, accurate AI-generated content.

What are some common challenges faced by a director data annotation AI content writer, and how can they be addressed?

A Director of Data Annotation AI Content Writing often encounters challenges such as ensuring data quality, managing large cross-functional teams, and adapting to evolving AI technologies. Maintaining consistency and accuracy in annotated data requires rigorous quality control processes and regular training for annotators. Additionally, balancing the needs of data scientists, engineers, and content writers calls for strong communication and project management skills. Staying updated with industry trends and integrating new annotation tools can help streamline workflows and improve overall team efficiency.

What is the difference between Director Data Annotation Ai Content Writer vs Data Annotation Specialist?

AspectDirector Data Annotation Ai Content WriterData Annotation Specialist
CredentialsTypically requires a bachelor’s degree in computer science, AI, or related fields; often with leadership experienceUsually holds a high school diploma or bachelor’s degree; specialized training or certification in data annotation
Work EnvironmentLeads teams, manages projects, and collaborates with stakeholders in tech or AI companiesPerforms data labeling tasks, often in a team setting, within AI or machine learning firms
Employer & Industry UsageUsed in organizations developing AI models requiring data annotation oversightCommonly employed in data labeling companies or AI development teams

The main difference is that the Director Data Annotation Ai Content Writer oversees annotation projects and manages teams, while the Data Annotation Specialist focuses on executing data labeling tasks. The director role involves leadership, strategic planning, and higher-level coordination, whereas the specialist role is more hands-on and task-specific.

What are the most commonly searched types of Data Annotation Ai Content Writer jobs in Washington?

The most popular types of Data Annotation Ai Content Writer jobs in Washington are:

What are popular job titles related to Director Data Annotation Ai Content Writer jobs in Washington?

For Director Data Annotation Ai Content Writer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Director Data Annotation Ai Content Writer jobs in Washington look for?

The top searched job categories for Director Data Annotation Ai Content Writer jobs in Washington are:

What cities in Washington are hiring for Director Data Annotation Ai Content Writer jobs?

Cities in Washington with the most Director Data Annotation Ai Content Writer job openings:

Director Data Annotation Ai Content Writer jobs near you
Infographic showing various Director Data Annotation Ai Content Writer job openings in Washington as of June 2026, with employment types broken down into 2% Internship, 9% As Needed, 8% Full Time, 60% Part Time, 1% Temporary, and 20% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data & Annotation Engineer

Innodata Inc.

Washington, DC • On-site

$55 - $60/hr

Full-time

Re-posted 20 days ago

Innodata rating

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

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

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply