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Ai Fact Checking Jobs in New York (NOW HIRING)

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Perform independent research and fact-checking to validate technical information. * Annotate data and support quality assurance initiatives for AI training. * Interpret complex datasets and prepare ...

YO AI Labs

AI Consulting Expert - Remote

New York, NY · Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content. * Provide actionable feedback and recommendations to improve AI model performance. * Collaborate remotely ...

YO AI Labs

AI Finance Expert - Remote

New York, NY · Remote

$93K - $116K/yr

Conduct independent research and fact-checking to validate financial information. * Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills * Critical ...

Mercor

Research Analyst - Data Annotation

New York, NY · Remote

$20 - $30/hr

Experience in annotation, ground truth, search relevance, cataloguing, or fact checking. Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your resume

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Ai Fact Checking information

What is an AI fact checking?

An AI Fact-Checking job involves using artificial intelligence tools and methodologies to verify the accuracy of information found in news articles, social media, and other sources. Professionals in this field work with machine learning models, databases, and fact-checking guidelines to assess claims and differentiate fact from misinformation. They often collaborate with human fact-checkers to improve AI accuracy and efficiency. The goal is to enhance the credibility of online information by providing verified and reliable content.

What are the typical daily tasks for someone working in AI fact checking?

As an AI Fact Checker, your daily responsibilities typically include reviewing and verifying the accuracy of information generated by AI systems, cross-referencing sources, and documenting findings. You may also work closely with data scientists, content creators, and software engineers to improve fact-checking algorithms and provide feedback on system performance. Regular tasks often involve managing digital tools and databases, updating knowledge bases, and participating in team meetings focused on quality control and process improvements. This role requires a blend of independent research and collaborative teamwork to ensure high standards of information integrity.

What are the key skills and qualifications needed to thrive in the AI fact checking position?

To excel in AI Fact Checking, you need a solid understanding of data validation, critical thinking, and research methodologies, often supported by a degree in computer science, information science, or a related field. Familiarity with AI platforms, fact-checking databases, APIs, and data annotation tools is typically required, as well as experience with quality assurance processes. Attention to detail, analytical mindset, and strong communication skills set exceptional candidates apart in this field. These competencies are crucial to accurately verify AI-generated information, uphold content reliability, and maintain organizational credibility.

What are the most commonly searched types of Ai Fact Checking jobs in New York?

The most popular types of Ai Fact Checking jobs in New York are:

What are popular job titles related to Ai Fact Checking jobs in New York?

For Ai Fact Checking jobs in New York, the most frequently searched job titles are:

What job categories do people searching Ai Fact Checking jobs in New York look for?

The top searched job categories for Ai Fact Checking jobs in New York are:

What cities in New York are hiring for Ai Fact Checking jobs?

Cities in New York with the most Ai Fact Checking job openings:

Ai Fact Checking jobs near you
Infographic showing various Ai Fact Checking job openings in New York as of August 2026, with employment types broken down into 68% Full Time, 14% Part Time, and 18% Contract. Highlights an 65% In-person, and 35% Remote job distribution.

AI Data Science Expert - Remote

YO AI Labs

New York, NY • Remote

Part-time

Posted 23 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.