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Ai Monitoring Jobs in California (NOW HIRING)

Galent

AI Full Stack Developer

Santa Clara, CA · On-site

Familiarity with AI evaluation frameworks and production AI monitoring. * Experience developing enterprise-scale SaaS applications. * Exposure to agentic AI platforms and workflow automation.

CYNET SYSTEMS

Lead AI Engineer

Santa Clara, CA · On-site

$70 - $75/hr

AI Monitoring and Observability. * Enterprise AI Architecture and Strategy. Benefits Our Benefits Include: * Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account ...

Saim Technologies

Lead AI Engineer

Santa Clara, CA · On-site

$119K - $157K/yr

AI monitoring, observability, and performance management. * Knowledge of RAG architectures, vector databases, embeddings, and semantic search. * Experience with AI application evaluation, guardrails ...

FloQast

Senior Software Engineer, Core AI

San Jose, CA · Hybrid

$144K - $216K/yr

Experience with AI observability, debugging tools, and production AI monitoring * Hands-on experience with advanced RAG architectures, reranking systems, and retrieval optimization techniques

FloQast

Senior Software Engineer, Core AI

San Jose, CA · On-site

$144K - $216K/yr

Experience with AI observability, debugging tools, and production AI monitoring * Hands-on experience with advanced RAG architectures, reranking systems, and retrieval optimization techniques

FloQast

Senior Software Engineer, Core AI

San Jose, CA · Hybrid

$144K - $216K/yr

Experience with AI observability, debugging tools, and production AI monitoring * Hands-on experience with advanced RAG architectures, reranking systems, and retrieval optimization techniques

FloQast

Senior Software Engineer, Core AI

San Jose, CA · On-site

$144K - $216K/yr

Experience with AI observability, debugging tools, and production AI monitoring * Hands-on experience with advanced RAG architectures, reranking systems, and retrieval optimization techniques

ClickHouse

Solutions Architect - Langfuse

San Francisco, CA · On-site

$74.25 - $97.75/hr

Required : • Hands-on experience in the LLM observability or AI monitoring space -- whether at a vendor or as a practitioner building and operating LLM applications in production • Technical ...

Turion Space

Machine Learning Engineer

Irvine, CA

Contribute to the deployment of MLOps processes and techniques * Assist in the development of automated methods for responsible AI monitoring and best practices Qualifications Minimum Qualifications:

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Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Ai Monitoring jobs in California?

For Ai Monitoring jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Monitoring jobs in California look for?

The top searched job categories for Ai Monitoring jobs in California are:

Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Research Scientist, AI Controls and Monitoring

Scale AI

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

79th of 245 rated software companies

Job description

Job Summary:
Scale AI is a leading data and evaluation partner for frontier AI companies, focused on policy research to bridge the gap between AI research and global policymakers. The Research Scientist will design methods and systems to ensure AI models align with intended goals, conducting research on AI control protocols and monitoring techniques.
Responsibilities:
• Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;
• Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;
• Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;
• Collaborate with policymakers, engineers, and other researchers to establish standards and benchmarks for AI monitoring and escalation.
Qualifications:
Required:
• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance.
• Practical experience conducting technical research collaboratively.
• Comfortable designing control and monitoring experiments for AI systems.
• Building prototype systems.
• Quickly turning new ideas from the research literature into working prototypes.
• A track record of published research in machine learning, particularly in generative AI.
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
• Strong written and verbal communication skills to operate in a cross-functional team.
Preferred:
• Experience with runtime monitoring, anomaly detection, or observability for ML systems.
• Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate).
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches.
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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