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 ...
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 ...
Responsibilities : • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs; • ...
Responsibilities : • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs; • ...
Responsibilities : • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs; • ...
Responsibilities : • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs; • ...
$100 - $125/hr
Maintains AI Acceptable Use Policy templates, runs DNS-layer shadow AI monitoring, manages Data Processing Agreements and BAA inventories, and packages quarterly evidence for client audit and ...
$100 - $125/hr
Maintains AI Acceptable Use Policy templates, runs DNS-layer shadow AI monitoring, manages Data Processing Agreements and BAA inventories, and packages quarterly evidence for client audit and ...
AI Governance & Risk Analyst
Tucson, AZ · On-site
$100 - $125/hr
Maintains AI Acceptable Use Policy templates, runs DNS-layer shadow AI monitoring, manages Data Processing Agreements and BAA inventories, and packages quarterly evidence for client audit and ...
AI Governance & Risk Analyst
Tucson, AZ · On-site
$100 - $125/hr
Maintains AI Acceptable Use Policy templates, runs DNS-layer shadow AI monitoring, manages Data Processing Agreements and BAA inventories, and packages quarterly evidence for client audit and ...
Technical Product Manager - AI Product Operations
Dallas, TX · On-site
$165K - $191K/yr
They are seeking a Technical Product Manager for AI Product Operations to manage a team and treat AI monitoring as an internal product, focusing on continuous improvement and stakeholder ...
Technical Product Manager - AI Product Operations
Dallas, TX · On-site
$165K - $191K/yr
They are seeking a Technical Product Manager for AI Product Operations to manage a team and treat AI monitoring as an internal product, focusing on continuous improvement and stakeholder ...
Scale Labs, Research Scientist - AI Controls and Monitoring As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and ...
Scale Labs, Research Scientist - AI Controls and Monitoring As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and ...
Scale Labs, Research Scientist - AI Controls and Monitoring As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and ...
Scale Labs, Research Scientist - AI Controls and Monitoring As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and ...
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 ...
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 ...
AI Engineer
Santa Clara, CA · On-site
$64K - $115K/yr
Good-to-Have Skills • Databricks • MLOps / LLMOps • Enterprise AI Governance and Security • AI Monitoring and Observability • Enterprise AI Architecture and Strategy Salary Range: $64,000 ...
AI Engineer
Santa Clara, CA · On-site
$64K - $115K/yr
Good-to-Have Skills • Databricks • MLOps / LLMOps • Enterprise AI Governance and Security • AI Monitoring and Observability • Enterprise AI Architecture and Strategy Salary Range: $64,000 ...
AI Red Team Engineer
London, KY · On-site
$200 - $250/hr
Our monitoring research agenda attempts to translate compute into safety at scale. Red-teaming ... As the AI Red Team Engineer, you will help build the practice of red-teaming AI monitors (both ...
AI Red Team Engineer
London, KY · On-site
$200 - $250/hr
Our monitoring research agenda attempts to translate compute into safety at scale. Red-teaming ... As the AI Red Team Engineer, you will help build the practice of red-teaming AI monitors (both ...
AI Red Team Engineer
San Francisco, CA · On-site
$200 - $250/hr
Our monitoring research agenda attempts to translate compute into safety at scale. Red-teaming ... As the AI Red Team Engineer, you will help build the practice of red-teaming AI monitors (both ...
AI Red Team Engineer
San Francisco, CA · On-site
$200 - $250/hr
Our monitoring research agenda attempts to translate compute into safety at scale. Red-teaming ... As the AI Red Team Engineer, you will help build the practice of red-teaming AI monitors (both ...
AI Red Team Engineer
San Francisco, CA · On-site
$182K - $238K/yr
Our monitoring research agenda attempts to translate compute into safety at scale. Red-teaming ... As the AI Red Team Engineer, you will help build the practice of red-teaming AI monitors (both ...
AI Red Team Engineer
San Francisco, CA · On-site
$182K - $238K/yr
Our monitoring research agenda attempts to translate compute into safety at scale. Red-teaming ... As the AI Red Team Engineer, you will help build the practice of red-teaming AI monitors (both ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
You will build the foundations of the Compliance Department AI monitoring framework and lead the compliance data and systems Testing & Monitoring program. You will liaise with other governance ...
Ai Monitoring information
See salary details
$11.54 - $12.41
5% of jobs
$12.41 - $13.29
5% of jobs
$13.29 - $14.16
2% of jobs
$14.16 - $15.03
4% of jobs
$15.03 - $15.91
8% of jobs
$15.92 is the 25th percentile. Wages below this are outliers.
$15.91 - $16.78
19% of jobs
The median wage is $16.93 / hr.
$16.78 - $17.66
34% of jobs
$17.66 - $18.53
11% of jobs
$18.53 - $19.41
5% of jobs
$19.41 - $20.28
2% of jobs
$20.28 - $21.15
3% of jobs
$11
$16
$21
How much do ai monitoring jobs pay per hour?
As of Sep 9, 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?
| Aspect | Ai Monitoring | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires knowledge of AI systems, programming, and data analysis tools | Requires statistical, analytical, and data visualization skills, often with a degree in data science or related fields |
| Work Environment | Often involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companies | Analyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare |
| Employer & Industry Usage | Common in AI development firms, tech companies, and organizations deploying AI solutions | Widely 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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Cities with the most Ai Monitoring job openings:
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What job categories do people searching Ai Monitoring jobs look for?
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Research Scientist, AI Controls and Monitoring
Manhattan, NY • On-site
Scale AI •
Software Development • 201 - 500 employees201 - 500 employees
Full-time
Re-posted 10 days ago
Scale AI rating
8.5
Based on 9 frontline employees who took The Breakroom Quiz
82nd of 247 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.
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.
About Scale AI
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
San Francisco, CA, US
Year founded
2016