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Temp Data Annotation Ai Content Writer Jobs in Washington

Innodata Inc.

Data & Annotation Engineer

Washington, DC

$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 ...

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 ...

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

$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 ...

CaseGuard

Data Annotation Specialist

Arlington, VA

$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

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Temp Data Annotation Ai Content Writer information

What is a Temp Data Annotation AI Content Writer?

A Temp Data Annotation AI Content Writer is a temporary or contract-based professional who labels, categorizes, or annotates data—such as text, images, or videos—to help train artificial intelligence (AI) models. In addition to data annotation, they may also create or edit content that is used to improve AI systems, such as chatbots or language models. Their work is essential for ensuring AI tools can understand and process human language accurately. Typically, these roles require attention to detail, familiarity with data labeling tools, and strong language skills.

What are the key skills and qualifications needed to thrive as a Temp Data Annotation AI Content Writer?

To thrive as a Temp Data Annotation AI Content Writer, you need strong written communication skills, attention to detail, and familiarity with data labeling or content creation, often supported by a relevant degree or experience. Proficiency with annotation platforms, content management systems, and basic knowledge of AI or machine learning tools is typically required. Excellent time management, adaptability, and the ability to follow detailed guidelines help individuals excel in this role. These skills ensure high-quality, accurate data for AI training, directly impacting the effectiveness of AI-driven applications.

What are some typical challenges faced by Temp Data Annotation AI Content Writers, and how can they be addressed?

Temp Data Annotation AI Content Writers often encounter challenges such as maintaining consistency in labeling large volumes of data, understanding nuanced guidelines for different AI projects, and meeting tight deadlines. To address these, it's important to clarify annotation instructions with project leads, use available tools and templates for efficiency, and regularly communicate with team members to ensure alignment. Building familiarity with various content domains and staying organized can also help manage workload and improve accuracy.

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:

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

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

Temp Data Annotation Ai Content Writer jobs near you
Infographic showing various Temp Data Annotation Ai Content Writer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data & Annotation Engineer

Innodata Inc.

Washington, DC

$55 - $60/hr

Full-time

Re-posted 15 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

164th 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

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