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Remote Ai Fact Checking Jobs in Virginia (NOW HIRING)

Anika Systems

AI Engineer

Leesburg, VA · On-site +1

This position is currently remote; however, in accordance with federal contract requirements and ... Disciplined testing, linting, and type-checking habits; reviewable diffs and clear written ...

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Remote Ai Fact Checking information

What are the key skills and qualifications needed to thrive as a Remote AI Fact Checker, and why are they important?

To thrive as a Remote AI Fact Checker, you need strong research skills, critical thinking, and a background in journalism, communications, or a related field. Familiarity with fact-checking tools, AI content moderation platforms, and data verification systems is typically required. Excellent attention to detail, time management, and clear written communication enable effective analysis and reporting. These skills are crucial for ensuring the accuracy and reliability of information in digital content, which helps maintain public trust and informed decision-making.

How does a Remote AI Fact Checker typically collaborate with editorial and data science teams?

Remote AI Fact Checkers often work closely with editorial teams to ensure content accuracy and reliability, providing timely feedback on claims and data presented in articles or reports. They also collaborate with data science or AI development teams to refine fact-checking algorithms, share insights on false positives or negatives, and help improve automated detection systems. Regular virtual meetings, shared project management tools, and real-time communication platforms are commonly used to coordinate workflow and maintain alignment across distributed teams.

What is a Remote AI Fact Checker?

A Remote AI Fact Checker is a professional who reviews, verifies, and validates information using artificial intelligence tools while working from a remote location. Their main responsibility is to ensure the accuracy and credibility of digital content by cross-referencing data, identifying misinformation, and utilizing AI-powered platforms to speed up the verification process. These roles are essential in media, journalism, and online platforms to combat the spread of false information. They may also assist in training AI systems to better detect inaccuracies. The role requires strong analytical skills, attention to detail, and familiarity with digital research tools.

What is the difference between Remote Ai Fact Checking vs Remote Content Moderation?

AspectRemote Ai Fact CheckingRemote Content Moderation
Required CredentialsBasic understanding of AI, data analysis skillsKnowledge of platform policies, communication skills
Work EnvironmentPrimarily computer-based, often flexible hoursComputer-based, may require shift work
Industry UsageUsed in AI development, tech companiesUsed across social media, online platforms
Search & Comparison IntentUnderstanding AI verification rolesUnderstanding online content management roles

Remote Ai Fact Checking involves verifying AI-generated information for accuracy, often requiring data analysis skills. Remote Content Moderation focuses on monitoring and managing user-generated content to ensure compliance with platform policies. While both roles are remote and tech-related, Ai Fact Checking emphasizes AI data validation, whereas Content Moderation centers on community standards enforcement.

What are the most commonly searched types of Ai Fact Checking jobs in Virginia? The most popular types of Ai Fact Checking jobs in Virginia are:
What are popular job titles related to Remote Ai Fact Checking jobs in Virginia? For Remote Ai Fact Checking jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Ai Fact Checking jobs in Virginia look for? The top searched job categories for Remote Ai Fact Checking jobs in Virginia are:
What cities in Virginia are hiring for Remote Ai Fact Checking jobs? Cities in Virginia with the most Remote Ai Fact Checking job openings:
Remote Ai Fact Checking jobs near you
Infographic showing various Remote Ai Fact Checking job openings in Virginia as of May 2026, with employment types broken down into 64% Full Time, 10% Part Time, 7% Temporary, and 19% Contract. Highlights an 100% Remote job distribution.
AI Engineer

AI Engineer

Anika Systems

Leesburg, VA • On-site, Remote

Full-time

Posted 29 days ago

Job description

Anika Systems is an outcome-driven technology solutions firm that guides federal agencies in solving complex business challenges and preparing for the future. Our services span AI Strategy, Data Intelligence, AI & Machine Learning, Intelligent Automation, Enterprise Platforms and Engineering, with a specialized focus on National Security and Federal Financial programs. We are dedicated to delivering forward-thinking solutions that accelerate the critical missions of our government clients. Through our VITAL Innovation Lab, we invest heavily in research and development to anticipate mission needs and deliver cutting edge solutions.
This position is currently remote; however, in accordance with federal contract requirements and company policy, there may be future changes to work location expectations. Candidates should be prepared for the possibility of a return to the office, either partially or fully, based on client directives, contractual obligations, or company policies. Any such changes will be communicated in advance.
Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.
The AI Engineers will design and deliver production AI systems across our commercial platform
work and our federal modernization programs. This is a hands-on builder role on a small, senior team. Engineers
own work end-to-end including data, model integration, services, UI, infrastructure, security, and deployment. You will be expected to make sound technical calls under federal compliance, security, and procurement constraints.
Requirements:
  • Education: Bachelor's Degree in Computer Science, Computer Engineering, Data Science, Computational Linguistics, or a related field; Master's is a bonus.
  • Experience: 1-3years of professional experience building and shipping ML or NLP systems, including focus on LLM based or GenerativeAI solutions.
  • Strong production experience in Python and TypeScript, with modern web frameworks on both sides (e.g. FastAPI, React).
  • Hands-on integration of LLMs into real applications - streaming, tool / function calling, token accounting, and failure handling - across at least one of OpenAI, Anthropic, Bedrock, Vertex, or Azure OpenAI.
  • Experience designing agentic systems: multi-step workflows, retrieval-augmented generation, evaluation, and human-in-the-loop guardrails.
  • Solid relational data modeling on PostgreSQL with an async ORM and migration tooling.
  • AWS fluency (compute, storage, IAM, secrets, networking, observability) and infrastructure-as-code, ideallyTerraform.
  • Practical understanding of OAuth / OIDC, JWT, RBAC, multi-tenant isolation, and least-privilege design.
  • Disciplined testing, linting, and type-checking habits; reviewable diffs and clear written communication.

Preferred Skills
  • Federal program exposure: NIST 800-53, FedRAMP, FISMA, ATO process, or agency-specific data-handling requirements.
  • Experience with Keycloak or another OIDC provider, RLS-based multi-tenancy, or zero-trust application design.
  • Working knowledge of a data/lakehouse platform (Databricks, Snowflake) and SQL beyond CRUD.
  • Document AI / OCR pipelines and modernization of legacy enterprise workflows.
  • Production observability (CloudWatch, OpenTelemetry, Grafana) and incident-response experience.
  • Supply-chain hardening: SBOMs, dependency scanning, signed builds, threat modeling.

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