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Assistant Data Annotation Ai Content Writer Jobs in Virginia

Photon

.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

Photon

.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

Kiwall Business Services, Inc.

Be Seen First

Administrative Assistant/ Data Entry Clerk

Fairfax, VA · On-site

$25 - $27/hr

Excellent written and verbal communication skills * Strong attention to detail * Impeccable ... The assistant will also do data entry into QuickBooks for a few clients. We are very personable and ...

Brillient

Senior Proposal Writer

Reston, VA · On-site

Write, edit, and red-team proposal content to maximize compliance, quality, and discriminating ... Experience utilizing a myriad of proposal development tools, including AI, as a force multiplier ...

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All JobsData Annotation Ai Content Writer JobsAssistant Data Annotation Ai Content Writer JobsAssistant Data Annotation Ai Content Writer Jobs in Virginia

Assistant Data Annotation Ai Content Writer information

What is an assistant data annotation AI content writer?

An Assistant Data Annotation AI Content Writer is a professional who helps label, categorize, and create high-quality content for training artificial intelligence (AI) models, especially those related to natural language processing. Their work involves annotating text data, generating content that follows specific guidelines, and assisting in improving AI algorithms' understanding of language. This role is vital for ensuring that AI systems can interpret, generate, and respond to human language accurately. They often collaborate with data scientists, machine learning engineers, and project managers to deliver precise and useful datasets.

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

To thrive as an Assistant Data Annotation AI Content Writer, you need strong attention to detail, proficiency in written communication, and a good understanding of content labeling or annotation processes, often supported by a background in linguistics, communications, or a related field. Familiarity with annotation tools, content management systems, and basic data entry software is typically required. Strong organizational skills, adaptability, and the ability to work both independently and collaboratively help you excel in this role. These skills and qualities are crucial for producing accurate, high-quality data annotations that directly impact AI model training and overall project success.

How does an assistant data annotation AI content writer typically collaborate with data scientists and machine learning engineers?

As an Assistant Data Annotation AI Content Writer, you will frequently work alongside data scientists and machine learning engineers to ensure that annotated data meets project requirements and quality standards. Collaboration often involves clarifying guidelines, discussing edge cases, and providing feedback on annotation tools or processes. You may also participate in regular team meetings to align on project goals and workflows, making your attention to detail and clear communication skills essential for success in this collaborative environment.

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

AspectAssistant Data Annotation Ai Content WriterContent Writer
CredentialsBasic understanding of AI, data annotation tools, and writing skillsDegree in English, journalism, or related field; strong writing portfolio
Work EnvironmentData labs, AI companies, remote or office settingsMedia, marketing agencies, freelance or in-house roles
Industry UsageTech, AI, machine learning industriesPublishing, marketing, media industries

The Assistant Data Annotation Ai Content Writer focuses on creating content that supports AI training and data labeling, often working with technical tools. In contrast, a Content Writer produces general content for marketing, blogs, or publications. Both roles require strong writing skills, but their industries and specific tasks differ significantly.

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

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

Assistant Data Annotation Ai Content Writer jobs near you

AI/ML Test Engineer

Modern Technology Solutions, Inc. (MTSI)

Springfield, VA • On-site

Full-time

Posted 17 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.

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