ZipRecruiter

Log In

2

Remote Anomaly Detection Jobs (NOW HIRING)

DecisionPoint | Cortek

AI/ML Architect

$65.25 - $84/hr

This position is fully remote. Duties & Responsibilities The AI/ML Architect will: * Design AI/ML pilots supporting predictive analytics, anomaly detection, behavioral analytics, and content ...

New

Inficare Technologies

QE Architect

Remote (preferred Atlanta, GA or Miami, FL) Job Type: Contract to Hire Experience: 8+ years in ... and anomaly detection * Drive Agile QE delivery using Scrum, SAFe, or iterative methodologies ...

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

Anomaly detection and change detection * Radiometric, atmospheric, and geometric correction ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

DecisionPoint | Cortek

Data Scientist

This position is fully remote. Duties & Responsibilities The Data Scientist will: * Build machine learning models for anomaly detection, performance forecasting, trend prediction, and automated root ...

New

Hopper

Implement automated reconciliation and anomaly detection systems to proactively surface financial ... REMOTE

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 ...

Meduit

Product Director of Business Intelligence

$238K - $249K/yr

... anomaly detection, and predictive reporting capabilities. Title: Product Director of Business Intelligence Location: Remote - United States Schedule: First Shift Monday - Friday Department: Business ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

We are moving beyond simple anomaly detection. We are building a self-healing ecosystem where Multi ... Employee divides their time between in-office and remote work. Access to an office location is ...

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 ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Remote within the United States HOW YOU'LL SPEND YOUR TIME * Threat Detection & Behavioral Analysis: Design and implement statistical models, anomaly detection algorithms, and machine learning ...

next page

Showing results 1-20

All JobsAnomaly Detection JobsRemote Anomaly Detection Jobs

Remote Anomaly Detection information

See salary details

$15

$27

$37

How much do remote anomaly detection jobs pay per hour?

As of Aug 1, 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 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 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 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.

More about Remote Anomaly Detection jobs
What cities are hiring for Remote Anomaly Detection jobs? Cities with the most Remote Anomaly Detection job openings:
What are the most commonly searched types of Anomaly Detection jobs? The most popular types of Anomaly Detection jobs are:
What states have the most Remote Anomaly Detection jobs? States with the most job openings for Remote Anomaly Detection jobs include:
What job categories do people searching Remote Anomaly Detection jobs look for? The top searched job categories for Remote Anomaly Detection jobs are:
Remote Anomaly Detection jobs near you
Infographic showing various Remote Anomaly Detection job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 94% Full Time, 1% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.

AI/ML Architect

DecisionPoint | Cortek

Remote

$65.25 - $84/hr

Full-time

Posted 2 days ago

New

Job description

Overview
DecisionPoint seeks an AI/ML Architect to design artificial intelligence pilots, machine learning pipelines, and advanced analytics models supporting a large federal and DoD-aligned mission environment. This role develops predictive analytics solutions, anomaly detection models for IT and cybersecurity operations, automated content classification capabilities, personalization algorithms, and behavioral analytics models.
The AI/ML Architect collaborates closely with data scientists, dashboard teams, engineering staff, cybersecurity analysts, and PMO leadership to translate mission needs into AI-driven prototypes and production-ready solutions. The role also supports experimentation, evaluation, and integration of AI/ML capabilities aligned with enterprise governance and modernization objectives.
This position is fully remote.
Duties & Responsibilities
The AI/ML Architect will:
  • Design AI/ML pilots supporting predictive analytics, anomaly detection, behavioral analytics, and content automation.
  • Build prototypes for IT and cybersecurity anomaly detection using operational, log, and behavioral datasets.
  • Develop algorithms for personalization, content classification, and relevance scoring.
  • Create end-to-end machine learning pipelines including preprocessing, feature engineering, model training, validation, and deployment.
  • Work with system owners and cybersecurity teams to identify model inputs, risk indicators, and performance thresholds.
  • Collaborate with dashboard developers to operationalize ML insights into mission dashboards.
  • Evaluate new AI technologies, frameworks, and tools for mission applicability.
  • Support data exploration, hypothesis testing, and experiment design.
  • Produce documentation including model descriptions, assumptions, validation reports, and integration specifications.
  • Ensure AI/ML models follow governance guidelines for accuracy, explainability, bias mitigation, and security compliance.
  • Recommend optimization opportunities based on data-driven insights and trend analysis.

Qualifications
Clearance Requirement
Candidate must possess a Tier 2 Moderate Risk Public Trust (from any federal agency) or an active Secret clearance or higher.
Education (Required)
Bachelor's degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field.
Experience (Required)
  • Minimum 7 years of experience designing and implementing AI/ML models.
  • Experience with anomaly detection, predictive analytics, behavioral analytics, or pattern recognition.
  • Experience supporting AI/ML pilots or prototypes within federal, DoD, or mission-critical environments.
  • Experience building machine learning pipelines and experiment designs.

Technical Knowledge (Required)
  • Proficiency with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Strong understanding of statistical modeling, anomaly detection, and predictive forecasting.
  • Experience with Python, R, or similar programming languages.
  • Familiarity with data pipelines, feature engineering, and data transformation.

Technical Knowledge (Preferred)
  • Experience in cloud-based ML platforms (AWS Sagemaker, Azure ML, etc.).
  • Knowledge of cybersecurity datasets and detection logic.
  • Familiarity with LLMs, vector embeddings, or retrieval-augmented AI architectures.

Certifications
Required:
  • ITIL v4 Foundation

Preferred:
  • AI/ML professional certifications
  • Cloud practitioner or cloud security certifications

Skills
  • Strong problem-solving and analytical abilities.
  • Ability to communicate complex AI/ML concepts to technical and non-technical audiences.
  • High attention to detail for model validation, accuracy, and performance tuning.
  • Ability to work across multiple teams and integrate AI/ML results into broader program strategies.
  • Strong documentation and communication skills for model explainability.

Our Equal Employment Opportunity Policy
  • EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws.
  • Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
  • Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.

Apply