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Ai Fact Checking Jobs in California (NOW HIRING)

MC Recruiting

Litigation Paralegal

San Francisco, CA · Hybrid

... AI). Hybrid schedule - 2 or 3 days/week in a modern, downtown office with a team of super sharp ... Preparing and drafting documents, including cite, fact-checking and proofing legal briefs

Workday, Inc.

Analyst Relations Director

Pleasanton, CA · On-site

$159.30 - $238.90/hr

... AI strategy, platform innovation, industry capabilities, and partner ecosystem. * Maintain best practices for engagement discipline, including meticulous pre-briefing, fact-checking, and strategic ...

New

Exa

Technical Product Marketing, Content

San Francisco, CA · On-site

$150K - $250K/yr

AI-first production pipeline Design the workflow that takes an idea to a published, technically accurate piece fast: research, drafting, code examples, fact-checking, and distribution. If a step runs ...

EchoStar

Legal Project Specialist II

El Segundo, CA · On-site

$88K - $119K/yr

... fact-checking. Ultimately, this position bridges the gap between various business teams and ... Leverage AI tools and project management software to increase efficiency in administrative tracking ...

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Ai Fact Checking information

Can you use AI for fact checking?

AI fact checking involves using artificial intelligence tools and algorithms to verify the accuracy of information by analyzing data sources and detecting inconsistencies. AI Fact Checkers often utilize natural language processing and machine learning techniques to automate the verification process, making it faster and more scalable for roles in media, research, and information validation. Familiarity with data analysis, AI tools, and critical thinking are important skills for this job.

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 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 most commonly searched types of Ai Fact Checking jobs in California? The most popular types of Ai Fact Checking jobs in California are:
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What cities in California are hiring for Ai Fact Checking jobs? Cities in California with the most Ai Fact Checking job openings:
Ai Fact Checking jobs near you
Infographic showing various Ai Fact Checking job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 68% In-person, and 32% Remote job distribution.

Conversational AI Engineer, System Prompt

Known

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Known is a matchmaker that talks to users and supports them like a friend. They are seeking founding Conversational AI Engineers to build the prompt systems powering their voice-led onboarding and user experiences.
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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