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Ai Fact Checking For Basic Medical Science Jobs (NOW HIRING)

Prolific

Neuroscience - AI Training - Ann Arbor, US

They are seeking Neuroscience Experts to evaluate AI-generated outputs for scientific integrity and ... fact-checking tasks • Strong attention to detail Preferred : • Previous experience with AI ...

Prolific

Accountants - AI Training - Omaha, US

... Fact-Checking & Validation: ensuring that the outputs generated by AI systems align with ... Building the most advanced global infrastructure for People Science. Founded in 2014, the company ...

Prolific

Accountants - AI Training - Atlanta, US

... Fact-Checking & Validation: ensuring that the outputs generated by AI systems align with ... Building the most advanced global infrastructure for People Science. Founded in 2014, the company ...

SME Careers

Medical Doctor (Specialist)

Exceptional attention to detail when fact-checking clinical content and identifying unsafe ... Ensure Model Integrity: Test AI outputs for inaccuracies, unsafe recommendations, and bias ...

MSS MJH Shared Services

Copy Editor

Charleston, WV · Remote

$55K - $60K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

If you believe you're right for the job, this is the place to prove it! We are seeking a Copy ... At least 3 years of editing and fact-checking experience, preferably in medical or scientific ...

Tror AI for everyone

AI Platform Engineer

Charlotte, NC · On-site

This role is critical for enabling safe, reliable, and compliant AI development across multiple use ... models, fact-checking models. ● Building SDKs or developer frameworks adopted across multiple ...

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How much do ai fact checking for basic medical science jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai fact checking for basic medical science in the United States is $17.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $19.23 per hour, depending on experience, location, and employer.

What is AI fact checking for basic medical science?

AI fact checking for basic medical science refers to the use of artificial intelligence systems to verify the accuracy of claims, statements, or data related to fundamental medical science topics. These AI tools can quickly analyze scientific literature, databases, and other trusted sources to determine if a statement aligns with current scientific consensus. Their goal is to help researchers, professionals, and the public avoid misinformation and base decisions on verified facts. This technology is especially valuable given the vast and rapidly expanding volume of medical information available.

What are some typical challenges faced when fact-checking AI-generated content in basic medical science?

One common challenge is ensuring the accuracy of complex scientific information, as AI-generated content may sometimes misinterpret or oversimplify medical concepts. Fact-checkers need to cross-reference multiple reputable sources and stay updated on the latest research to validate information correctly. Additionally, it can be difficult to spot subtle inaccuracies or outdated data, requiring a strong understanding of medical terminology and current best practices. Collaboration with subject matter experts and clear documentation are often essential to maintain high-quality, reliable outputs.

What are the key skills and qualifications needed to thrive as an AI fact checker for basic medical science, and why are they important?

To excel as an AI Fact Checker for Basic Medical Science, you need a solid background in biomedical sciences, strong analytical skills, and familiarity with evidence-based research methods, often supported by a relevant degree. Proficiency with AI tools, data analysis platforms, and medical literature databases such as PubMed is typically required. Meticulous attention to detail, critical thinking, and effective communication are essential soft skills for accurately verifying information and presenting findings. These competencies are crucial to ensure the reliability of medical content, maintain public trust, and support accurate scientific communication.

What is the difference between Ai Fact Checking For Basic Medical Science vs Ai Medical Data Annotator?

AspectAi Fact Checking For Basic Medical ScienceAi Medical Data Annotator
Required CredentialsBackground in medical science, data analysis skillsBasic understanding of medical terminology, annotation skills
Work EnvironmentResearch labs, healthcare tech companiesData labeling centers, healthcare data projects
Employer & Industry UsageMedical research institutions, AI healthcare startupsMedical data companies, AI training firms
Common Search & Comparison IntentUnderstanding roles in medical AI validationClarifying data annotation tasks in medical AI

Ai Fact Checking For Basic Medical Science focuses on verifying medical information accuracy, requiring medical knowledge and analytical skills. In contrast, Ai Medical Data Annotator involves labeling medical data for AI training, emphasizing annotation skills and understanding medical terminology. Both roles support healthcare AI development but differ in responsibilities and expertise needed.

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Ai Fact Checking For Basic Medical Science jobs near you
Infographic showing various Ai Fact Checking For Basic Medical Science job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $36,833 per year, or $17.7 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$100 - $200/hr

Part-time

Posted 6 days ago

Job description

Job Title: AI Software Engineering Domain Remote

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

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.