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Temporary Anomaly Detection Jobs (NOW HIRING)

Monitise

AI Engineer

Berkeley Heights, NJ · On-site

Design, build, and deploy machine learning and statistical models for threat detection, anomaly ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Monitise

AI Engineer

Columbus, OH · On-site

Design, build, and deploy machine learning and statistical models for threat detection, anomaly ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

Design, build, and deploy machine learning and statistical models for threat detection, anomaly ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Monitise

AI Engineer

Alpharetta, GA · On-site

Design, build, and deploy machine learning and statistical models for threat detection, anomaly ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

T-Mobile

Sr Engineers, Software

Overland Park, KS · On-site

$159K - $167K/yr

Integrate AI models for predictive scaling, anomaly detection, and automated system analysis to ... At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic ...

nextSource

Senior Data Engineer (Contract)

$70 - $90/hr

Temp to Hire Location: Remote (Must be located in either Eastern or Central Time Zones) Tech Stack ... Data reconciliation and anomaly detection * Perform testing across key technologies, including:

Aquent

Identity Security Engineer

Southlake, TX · On-site

$52.26 - $58.07/hr

Temporary Salary: $52.26-58.07 Hourly W2 Start Date: Aug 3, 2026 Join a leading organization ... anomaly detection, wireless security, and VoIP security. * Bachelor's Degree in Computer Science or ...

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How much do temporary anomaly detection jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for temporary anomaly detection in the United States is $18.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.95 per hour, depending on experience, location, and employer.

What is the difference between Temporary Anomaly Detection vs Data Analyst?

AspectTemporary Anomaly DetectionData Analyst
CredentialsTypically requires certifications in data analysis, statistics, or related fieldsRequires degrees in statistics, mathematics, or related disciplines
Work EnvironmentOften in IT, cybersecurity, or data science teams within various industriesWorks across multiple industries analyzing data to inform business decisions
Employer & Industry UsageUsed by tech companies, finance, and cybersecurity firms for real-time monitoringCommon in corporate, marketing, finance, and healthcare sectors for reporting and insights

Temporary Anomaly Detection focuses on identifying unusual patterns or outliers in data in real-time, often requiring specialized tools and quick response skills. Data Analysts interpret data trends and generate reports to support strategic decisions. While both roles work with data, anomaly detection is more technical and immediate, whereas data analysis is broader and report-oriented.

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Temporary Anomaly Detection jobs near you
Infographic showing various Temporary Anomaly Detection job openings in the United States as of July 2026, with employment types broken down into 4% As Needed, 92% Full Time, 1% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $38,238 per year, or $18.4 per hour.

Research Fall 2026 Internship/Co-op -Early Anomaly Detection & Intervention

FM

Norwood, MA • On-site

$35/hr

Full-time

Posted 13 days ago

Job description

FM is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.
Data centers are experiencing unprecedented demands in power density driven by AI and high-performance computing workloads. In contrast to the modern development, traditional fire detection systems are designed to detect fires only after combustion has already occurred, creating a need for earlier anomaly detection methods capable of identifying precursors to thermal runaway, electrical faults, overheating, insulation degradation, arc events, and other incipient fire conditions.
This internship will investigate and evaluate advanced approaches for early anomaly detection and intervention in data center environments. The selected intern will conduct experimental and modeling research to characterize pre-fire signatures and assess potential intervention strategies before ignition or fire development.
Key Responsibilities
  • Conduct literature reviews, including internal reports and external publications.
  • Execute experimental test programs and collect high-quality data. The focus will be designing and building laboratory-scale experimental apparatus to simulate data center equipment faults and pre-fire conditions.
  • Develop models, correlations, and analytical techniques to interpret experimental results.
  • Document findings through technical reports, presentations, and research publications.

Qualifications
Location: Norwood, MA
Duration: 3-6 months starting from September 2026
Education Level: Ph.D. student in Fire Protection Engineering, Mechanical Engineering, Chemical Engineering, or related fields.
Required
  • Strong experimental and analytical skills.
  • Ability to independently design experiments and troubleshoot laboratory setups.
  • Experience with data analysis using Python, MATLAB, R, or similar tools.
  • Strong technical writing and communication skills.

Preferred
  • Experience in building experimental apparatus and integrating sensors with data acquisition systems.
  • Experience with statistical modeling, predictive analytics, or physics-based modeling.

This is an in-office role based in Norwood, MA. Temporary relocation support provided for selected qualified candidate.
FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
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About FM

Sourced by ZipRecruiter

Industry

Plastics product manufacturing

Company size

51 - 200 Employees

Headquarters location

Rogers, AR, US

Year founded

1980

Social media

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