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Remote Anomaly Detection Jobs (NOW HIRING)

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of ... deduplication, anomaly detection) * Familiar with version control, CI/CD practices for data ...

Open Select

Full Stack Engineer - Cybersecurity

On-site (Virginia, USA) or Remote (US-based) Salary: $150k - $200k + bonus + equity Industry ... Integrate machine learning, anomaly detection, and compliance features in collaboration with ...

Archera

Software Engineer, Data Quality

$117K - $140K/yr

Build automated data validation, reconciliation, and anomaly detection, including the workflows ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Archera

Software Engineer, Data Quality

$117K - $140K/yr

Build automated data validation, reconciliation, and anomaly detection, including the workflows ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

kgs

Jr SIEM/UEBA Engineer

Washington, DC · Remote

Primary work will be performed at the client site in Washington DC and approved remote/telework ... and anomaly detection thresholds to reduce false positives and improve the quality and ...

kgs

Jr SIEM/UEBA Engineer

Washington, DC · Remote

Primary work will be performed at the client site in Washington DC and approved remote/telework ... and anomaly detection thresholds to reduce false positives and improve the quality and ...

TEKsystems

Telemetry Data Engineer

Redmond, WA · On-site +1

$55 - $64/hr

Preference given to Redmond WA for both candidates, but open to remote. *IF candidates are in the ... monitoring, anomaly detection, and telemetry quality measurement solutions. - Create health ...

System One

BI / AI Solutions Consultant

Tulsa, OK · Remote

$150K - $170K/yr

Remote - offsite Hours: 40.0 Security Clearance: Not specified Overview System One has partnered ... Knowledge of AI-enabled BI solutions, including automation, classification, anomaly detection, and ...

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Remote Anomaly Detection information

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How much do remote anomaly detection jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote anomaly detection in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What is remote anomaly detection?

Remote anomaly detection is the process of identifying unusual patterns or behaviors in data collected from remote systems, devices, or networks. This technique is commonly used in industries such as cybersecurity, manufacturing, and IoT to monitor operations and quickly detect issues or potential threats. By using algorithms and machine learning, remote anomaly detection can automatically flag data points that deviate from normal patterns, helping organizations respond proactively to prevent problems. This approach is especially valuable in environments where manual monitoring is difficult or impractical due to distance or scale.

What are the key skills and qualifications needed to thrive as a remote anomaly detection specialist, and why are they important?

To thrive in Remote Anomaly Detection, you need a strong background in statistics, data analysis, and machine learning, usually supported by a degree in computer science, engineering, or a related field. Familiarity with analytical tools like Python, R, SQL, and specialized anomaly detection frameworks is essential, along with experience in cloud platforms. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These competencies enable accurate identification of unusual patterns, quick response to potential risks, and seamless collaboration in distributed work environments.

What are some common challenges faced by professionals working in remote anomaly detection roles?

Professionals in remote anomaly detection often face challenges related to data quality and access, as much of the work depends on analyzing large, diverse datasets from various sources. Ensuring secure, real-time data transmission and maintaining robust communication with cross-functional teams can also be demanding, especially when working remotely. Additionally, adapting to evolving algorithms and staying current with the latest detection technologies requires ongoing learning and collaboration. Successfully navigating these challenges typically involves proactive communication, diligent documentation, and leveraging collaborative tools to stay connected with colleagues.

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

AspectRemote Anomaly DetectionData Analyst
Required CredentialsBackground in cybersecurity, data science, or related fields; certifications like CompTIA Security+ or Certified Data ProfessionalBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Data Analyst Associate
Work EnvironmentRemote, often in tech or cybersecurity firms, focusing on monitoring systems and identifying irregularitiesRemote or on-site, working with data sets, creating reports, and providing insights for business decisions
Employer & Industry UsageTech companies, cybersecurity firms, financial institutionsBusiness, finance, marketing, healthcare sectors

While both roles involve working with data, Remote Anomaly Detection specialists focus on identifying irregularities in systems or networks, often requiring cybersecurity knowledge. Data Analysts interpret data to inform business strategies. The roles share skills in data analysis but differ in focus and industry applications.

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The top searched job categories for Remote Anomaly Detection jobs are:

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Remote Anomaly Detection jobs near you
Infographic showing various Remote Anomaly Detection job openings in the United States as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

AI/ML Technical Lead

Petersburg, VA • On-site, Remote

Xtreme Solutions Inc
IT Services • 51 - 200 employees
Learn more about Xtreme Solutions Incexternal

Full-time

Re-posted 6 days ago

Job description

Description

AI/ML Technical Lead

CASCOM ESD Enterprise Analytics/AI Program
Schedule: Full-Time / 1.0 FTE
Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA
Clearance: Active Final Secret Required


The Opportunity

We're looking for an AI/ML Technical Lead who still builds.

This position requires hands-on technical leadership across AI/ML solutions using CASCOM, GCSS-Army, SAP, and other Army data. The successful candidate must be capable of personally coding, evaluating, deploying, and sustaining models-not simply directing an AI strategy or managing data science teams.

Potential use cases include GenAI/OpenAI, RAG, Copilot, document extraction, anomaly detection, equipment-readiness and maintenance forecasting, fleet automation, recommendation capabilities, and supply forecasting.


What You'll Do
  • Lead selection and technical refinement of three baseline AI/ML use cases.
  • Define mission questions, data requirements, technical baselines, performance metrics, and acceptance criteria.
  • Perform hands-on data exploration and feature engineering.
  • Develop, train, validate, and comparatively evaluate machine-learning models.
  • Conduct error analysis and document model limitations.
  • Develop selected GenAI, RAG, forecasting, anomaly-detection, or recommendation capabilities.
  • Work with GCSS-Army SMEs to validate business rules and interpret model results.
  • Partner with Azure Data/MLOps engineering resources to package, deploy, version, monitor, and sustain models.
  • Establish appropriate human-review processes for model outputs affecting operational decisions.
  • Develop model cards, evaluation results, release documentation, known limitations, and retraining criteria.
  • Integrate analytical outputs into dashboards, Power Apps, APIs, or other operational solutions.
  • Participate in demonstrations and production-readiness reviews.
.

Requirements

Must-Have Qualifications
  • Active final Secret clearance.
  • 7+ years of data science, machine learning, advanced analytics, or applied AI experience.
  • 4+ years developing machine-learning solutions.
  • Hands-on production AI/ML development experience.
  • Strong Python and SQL skills.
  • Experience delivering at least three substantive models or AI capabilities.
  • At least one model personally taken from requirements through production or operational deployment.
  • Experience with Azure AI/ML services or a comparable cloud environment.
  • Ability to explain model evaluation, deployment, monitoring, and retraining.
  • Strong experience with pandas, NumPy, scikit-learn, and at least one major ML/deep-learning framework.
  • Experience with at least two of the following:
    • Forecasting
    • Anomaly detection
    • Classification
    • Recommendation engines
    • Optimization
    • Document extraction
    • NLP, RAG, or GenAI
  • Experience establishing measurable model-performance criteria.
  • Experience with feature engineering, training, validation/test data, error analysis, explainability, and model documentation.
  • Bachelor's degree in computer science, data science, statistics, mathematics, operations research, engineering, or related discipline, or equivalent specialized experience.
Strongly Preferred
  • Azure Machine Learning, Azure OpenAI, Azure AI Search, Microsoft Copilot, or comparable Azure AI services.
  • Defense logistics, maintenance, readiness, fleet, supply-chain, acquisition, property, or financial analytics.
  • GCSS-Army, SAP ECC, ERP, or maintenance-system data.
  • Government-cloud or classified deployment experience.
  • Model monitoring, drift detection, bias testing, red teaming, or human-in-the-loop validation.
  • Integration of model outputs with Power BI, Power Apps, APIs, or operational applications.
  • Experience presenting technical findings to operational users and senior leadership.
About Xtreme SolutionsXSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company's incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities.
Equal Employment OpportunityXtreme Solutions, Inc. is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without discrimination based on any status protected by applicable federal, state, or local law.As a federal contractor, Xtreme Solutions, Inc. takes affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. We are committed to providing equal employment opportunities throughout all aspects of employment, including recruitment, hiring, promotion, compensation, training, and other terms and conditions of employment.Equal Opportunity Employer | Individuals with Disabilities | Protected Veterans

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