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Ai Monitoring Jobs (NOW HIRING)

Hyphen Connect Limited

As a Product Manager specializing in AI and Web3 Security, you will define and execute the roadmap for cutting-edge AI monitoring tools, ensuring the highest standards of cybersecurity.

BilgeAdam Technologies GmbH

NY · On-site

$120 - $180/hr

Knowledge of AI monitoring (drift, bias, inference metrics) #J-18808-Ljbffr

Jahnel Group

Software Developer (AI/Python)

Schenectady, NY · On-site

$48.50 - $67/hr

This role will focus heavily on AI agents, AI assistants, AI monitoring, and automation , while also supporting enterprise applications, cloud infrastructure, and DevOps initiatives. The ideal ...

Doist

Software Developer (AI/Python)

Schenectady, NY · On-site

$120 - $160/hr

This role will focus heavily on AI agents, AI assistants, AI monitoring, and automation , while also supporting enterprise applications, cloud infrastructure, and DevOps initiatives. The ideal ...

New

Jahnel Group

Software Developer (AI/Python)

Schenectady, NY · On-site

$48.50 - $67/hr

This role will focus heavily on AI agents, AI assistants, AI monitoring, and automation , while also supporting enterprise applications, cloud infrastructure, and DevOps initiatives. The ideal ...

Vibotek LLC

Agentic AI Developer

Atlanta, GA · On-site

... monitoring, and continuous improvement of deployed AI agents Qualifications : Required : • 5+ years of software or AI/ML development experience • 2+ years of hands-on experience with Generative ...

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Ai Monitoring information

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How much do ai monitoring jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai monitoring in the United States is $16.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $17.55 per hour, depending on experience, location, and employer.

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.

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What states have the most Ai Monitoring jobs?

States with the most job openings for Ai Monitoring jobs include:

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

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Ai Monitoring jobs near you
Infographic showing various Ai Monitoring job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $35,147 per year, or $16.9 per hour.

Research Scientist, AI Controls and Monitoring

Scale AI

Manhattan, NY • On-site

Full-time

Re-posted 19 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th of 245 rated software companies

Job description

Job Summary:
Scale AI is a leading data and evaluation partner for frontier AI companies, focused on bridging the gap between AI research and global policymakers. The Research Scientist in AI Controls and Monitoring will design methods and systems to ensure AI models align with intended goals, conduct research on control mechanisms, and collaborate with various stakeholders to establish AI monitoring standards.
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. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and 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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