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Ai Fact Checking For Basic Medical Science Jobs in California

IQVIA

Medical Science Liaison

San Francisco, CA · On-site

Act as a scientific point of contact in the field for Exelixis Medical Affairs * Appropriately engage oncology HCPs and APPs in compliant, fairbalanced scientific exchange * Deliver scientific ...

Syneos Health, Inc.

Medical Science Liaison

Los Angeles, CA · On-site

$190 - $197.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

These qualities position you for success as a Medical Science Liaison with Syneos Health. Responsibilities The Medical Science Liaison is a field-based, scientific, and clinical expert who ...

Syneos Health

Medical Science Liaison

Los Angeles, CA · On-site

$190 - $197.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

These qualities position you for success as a Medical Science Liaison with Syneos Health. Responsibilities The Medical Science Liaison is a field-based, scientific, and clinical expert who ...

Syneos Health, Inc.

Medical Science Liaison

San Francisco, CA · On-site

$190 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

These qualities position you for success as a Medical Science Liaison with Syneos Health. Responsibilities The Medical Science Liaison is a field‑based, scientific, and clinical expert who ...

Inizio Evoke

Editor

San Francisco, CA · Hybrid

  • Medical

  • Dental

  • Retirement

We are looking for an Editor to join our dynamic agency. The editor performs copyediting ... fact checking, checking changes, and possible proofreading of promotional, digital, and medical ...

New

Syneos Health

Medical Science Liaison

San Francisco, CA · On-site

$190 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

These qualities position you for success as a Medical Science Liaison with Syneos Health. Responsibilities The Medical Science Liaison is a field‑based, scientific, and clinical expert who ...

JobRx, Inc.

Medical Science Liaison

San Francisco, CA · On-site

$160 - $240/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

MSLs are responsible for developing and enhancing professional relationships with medical thought leaders involved in various phases of product development. MSLs provide medical information through ...

Jazz Pharmaceutical

Medical Science Liaison

San Francisco, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

MSLs are responsible for developing and enhancing professional relationships with medical thought leaders involved in various phases of product development. MSLs provide medical information through ...

Ipsen Group

Medical Science Liaison - Carolinas

Berkeley, CA · On-site

$185 - $215/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

For more information, visit us at ** follow our latest news on **LinkedIn** and **Instagram**.** ****Medical Science Liaison - Carolinas (Richmond, Raleigh/Durham, Charlotte & Greensville)****WHAT ...

Jazz Pharmaceutical

Medical Science Liaison

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our patient-focused and science-driven approach powers pioneering research and development ... MSLs are responsible for developing and enhancing professional relationships with medical thought ...

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Ai Fact Checking For Basic Medical Science information

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.

What are popular job titles related to Ai Fact Checking For Basic Medical Science jobs in California?

For Ai Fact Checking For Basic Medical Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Fact Checking For Basic Medical Science jobs in California look for?

The top searched job categories for Ai Fact Checking For Basic Medical Science jobs in California are:

What cities in California are hiring for Ai Fact Checking For Basic Medical Science jobs?

Cities in California with the most Ai Fact Checking For Basic Medical Science job openings:

Ai Fact Checking For Basic Medical Science jobs near you
Infographic showing various Ai Fact Checking For Basic Medical Science job openings in California as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% In-person job distribution.

Conversational AI Engineer, System Prompt

Known

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Known is a company focused on empowering human connections through AI-driven products. They are seeking Conversational AI Engineers to develop prompt systems for voice-led onboarding and user experiences, leveraging a unique data set to create personalized conversations at scale.
Responsibilities:
• Prompt Orchestration & Context Optimization: Architecting the core system prompts and managing context windows to ensure highly responsive, contextually relevant, and logically sound AI reasoning without bloating token counts or causing latency spikes.
• EQ & Semantic Memory: Building prompt systems that allow Known to maintain a consistent, empathetic, and uniquely "Known" personality. You'll design mechanisms to seamlessly weave long-term user memories and preferences into real-time dialogue, while helping the user drive the conversation.
• Conversational Intelligence: Designing advanced prompt chains (and fallback logic) to gracefully handle conversational tangents, user interruptions, semantic end-of-turn conversation logic,, and complex emotional states so Known feels empathetic and responsive.
• Agentic Workflow Design: Implementing and maintaining the prompt-driven logic for multi-agent frameworks, where your system instructions act as the routing engine between the user, external APIs, and our internal matchmaking engine.
• Evals for Conversational Quality: Developing custom evaluation frameworks to measure "conversational success." You'll go beyond basic fact-checking to rigorously assess conversational dynamism, warmth, engagement, and hallucination reduction.
Qualifications:
Required:
• 2-3 Years in Conversational AI/NLP: Proven experience designing, testing, and deploying complex LLM applications and system prompts in high-traffic production environments.
• The Prompt Stack: Deep familiarity with state-of-the-art prompt engineering techniques (e.g., Few-Shot, Chain-of-Thought, ReAct).
• Agentic & RAG Architectures: Experience building the 'brain' logic for LLMs using frameworks like LangGraph, LlamaIndex, or Haystack to manage complex, non-linear dialogue and dynamic knowledge retrieval.
• Production Hardened: You treat prompts as an engineering problem. You’ve optimized prompt systems for scale, API cost, and speed. You're comfortable with prompt version control, programmatic prompt optimization (e.g., DSPy), and building continuous integration pipelines for AI evals.
Company:
Known is a marketing agency that offers data science, research, and technology. It is a sub-organization of Schireson Associates. Founded in , the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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