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Assistant Data Annotation Ai Content Writer Jobs in Virginia

... rigor and data integrity in AI development. * Provide written and verbal expertise on ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

... rigor and data integrity in AI development. * Provide written and verbal expertise on ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

... rigor and data integrity in AI development. * Provide written and verbal expertise on ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

... rigor and data integrity in AI development. * Provide written and verbal expertise on ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

... rigor and data integrity in AI development. * Provide written and verbal expertise on ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 41-60

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:

Technical Writer - AI Programs

Ampcus Inc

Chantilly, VA • On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services, and they are seeking an experienced Technical Writer to support documentation efforts for AI initiatives at a leading independent federal agency focused on financial system stability. The role involves producing clear documentation for AI technologies and collaborating with cross-functional teams to translate complex technical concepts into user-friendly materials.
Responsibilities:
• Create and maintain program management and technical documentation for AI platforms, models, APIs, workflows, and infrastructure components.
• Develop policies, procedures/SOPs, user guides, system manuals, and onboarding materials for GenAI and Agentic AI tools.
• Write clear and concise content that supports training, change management, and governance efforts.
• Work closely with program manager, AI/ML architects, AI/ML engineers, developers, and program stakeholders to gather source material and clarify requirements.
• Participate in product demos, sprint reviews, and technical discussions to stay informed of system updates and changes.
• Translate technical jargon into plain language for non-technical audiences while preserving accuracy.
• Ensure documentation adheres to federal standards for accessibility (Section 508), security, and compliance.
• Maintain version control and documentation repositories using tools like Confluence, SharePoint, or Git.
• Review and edit content for clarity, grammar, formatting, and consistency across deliverables.
• Contribute to internal knowledge bases, FAQs, and quick-reference materials to support AI literacy and responsible use.
• Assist in the development of communication materials that explain AI capabilities, risks, and governance policies.
• Support reporting and strategic communications as needed.
Qualifications:
Required:
• Bachelor’s degree in English, Communications, Technical Writing, Information Systems, or a related field.
• 6 years of experience in technical writing or documentation roles, preferably in technology or government environments.
• Strong writing, editing, and organizational skills.
• Familiarity with software development lifecycle (SDLC), agile methodologies, and DevOps practices.
• Experience with diagramming tools (e.g., Lucidchart, Visio).
• Experience documenting AI/ML systems, APIs, and cloud-based platforms.
• Familiarity with GenAI platforms and Agentic AI concepts.
• Proficiency with documentation tools.
Preferred:
• Experience in public sector or regulated environments.
• Knowledge of federal documentation standards and accessibility requirements.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004