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Contract Data Annotation Ai Content Writer Jobs in Virginia

Write, edit, and red-team proposal content to maximize compliance, quality, and discriminating ... Collaborate with Contracts, Pricing, and BD leadership to ensure proposal coherence across all ...

.Net AI Architect | Onsite

Norfolk, VA · On-site

$61.50 - $80/hr

Architect modular, event-driven agents for content generation Data Integration : Build connectors to third-party APIs and harmonize structured/unstructured data for LLM prompts. AI Orchestration

.Net AI Architect | Onsite

Norfolk, VA · On-site

$61.50 - $80/hr

Architect modular, event-driven agents for content generation Data Integration : Build connectors to third-party APIs and harmonize structured/unstructured data for LLM prompts. AI Orchestration

Proposal Content Developer

Herndon, VA · On-site

$109K - $181K/yr

This hybrid role merges traditional proposal writing with cutting-edge AI expertise, placing you at ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...

Showing results 21-40

Contract Data Annotation Ai Content Writer information

What is a contract data annotation AI content writer?

A Contract Data Annotation AI Content Writer is a professional hired on a contract basis to label, categorize, and create content that trains artificial intelligence models, especially those focused on natural language processing. Their tasks often involve reviewing, editing, and generating text to help AI systems better understand language, context, and meaning. These writers play a crucial role in ensuring that AI outputs are accurate, relevant, and aligned with human expectations. They may work remotely, using specialized software to annotate large datasets or craft sample dialogues, articles, or prompts.

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

To excel as a Contract Data Annotation AI Content Writer, you need strong analytical abilities, excellent written communication, and a solid understanding of language structure, often supported by experience in data labeling or content creation. Familiarity with annotation tools, content management systems, and platforms like Labelbox or Prodigy is typically required. Attention to detail, adaptability, and effective time management are crucial soft skills for consistently delivering high-quality annotated data. These competencies ensure the accuracy and efficiency necessary for training AI systems and meeting project deadlines.

What are some common challenges faced by contract data annotation AI content writers, and how can they be managed?

One common challenge for Contract Data Annotation AI Content Writers is maintaining consistency and accuracy across large volumes of annotated content, especially when project guidelines evolve over time. To manage this, it's important to regularly review updated instructions, communicate with project leads for clarifications, and utilize quality assurance tools provided by the employer. Additionally, balancing speed with quality is crucial, so setting personal benchmarks and taking short breaks can help maintain focus and meet deadlines. Collaborating with fellow annotators via team chats or forums can also provide valuable support and best practices.

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

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

What are popular job titles related to Contract Data Annotation Ai Content Writer jobs in Virginia?

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

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

The top searched job categories for Contract Data Annotation Ai Content Writer jobs in Virginia are:

What cities in Virginia are hiring for Contract Data Annotation Ai Content Writer jobs?

Cities in Virginia with the most Contract Data Annotation Ai Content Writer job openings:

Infographic showing various Contract Data Annotation Ai Content Writer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Posted 18 days ago


Job description

Job Summary:
Modern Technology Solutions, Inc. (MTSI) is hiring an AI/ML Test Engineer in Springfield, VA. The role involves executing system-level AI/Machine Learning evaluation activities, performing integration testing, and supporting automated evaluation pipelines for AI/ML model testing and performance assessment.
Responsibilities:
• Execute system-level AI/Machine Learning evaluation activities within the Test & Evaluation (T&E) environment supporting mission-focused operational testing.
• Perform integration testing, data capture, drift detection, and operational validation activities across AI/ML evaluation workflows.
• Support automated and semi-automated evaluation pipelines for AI/ML model testing and performance assessment.
• Develop, maintain, and refine data annotation workflows supporting operational evaluation requirements.
• Validate operational datasets and support testing activities across multiple models, datasets, and mission scenarios.
• Conduct integration testing of AI/ML models within operationally representative environments and workflows.
• Adapt evaluation procedures and workflows to address evolving GEOINT data conditions and operational mission requirements.
• Support high-throughput and parallel model evaluation activities to maintain alignment with mission timelines and operational priorities.
• Identify and mitigate data drift, performance degradation, and workflow issues impacting evaluation reliability.
• Collaborate with Senior AI/ML Test Engineers, data scientists, software engineers, and mission stakeholders to support scalable T&E execution.
• Contribute to technical documentation, evaluation reporting, and customer briefings supporting operational decision-making.
Qualifications:
Required:
• U.S. citizenship
• TS/SCI clearance
• CI Polygraph
• 4+ years of experience supporting AI/ML testing, system integration, operational testing, or evaluation workflows.
• Familiarity with automated testing pipelines, operational data validation, and model performance assessment concepts.
• Ability to support multiple evaluation activities across dynamic operational environments.
• Experience troubleshooting technical workflow or data-related issues in support of operational objectives.
• Strong analytical, organizational, and communication skills.
• Bachelor’s degree in IT or STEM related field, or additional relevant experience in lieu of a degree.
• Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.
Preferred:
• Experience supporting DoD, NGA, or Intelligence Community programs.
• Familiarity with AI/ML model evaluation, GEOINT workflows, and operational testing environments.
• Experience working in Agile, DevSecOps, or cloud-based operational environments.
• Familiarity with annotation workflows, data capture pipelines, drift detection, and automated evaluation tools.
• Experience supporting scalable AI/ML evaluation or mission-focused T&E activities.
Company:
Modern Technology Solutions, Inc. Founded in 1993, the company is headquartered in Alexandria, USA, with a team of 1001-5000 employees. The company is currently Late Stage.