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Part Time Anomaly Detection Jobs (NOW HIRING)

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... checks and anomaly detection models. You will also design and refine workflows that enable ...

This part-time internship is ideal for students or recent graduates who want hands-on experience ... Support the use and evaluation of AI-powered security tools (e.g., for anomaly detection, phishing ...

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... You will evaluate, implement, and optimize AI-powered reconciliation tools, anomaly detection ...

Observability Engineer

Mclean, VA ยท On-site

$53.25 - $73/hr

Experience implementing AIOps workflows, including predictive alerting, anomaly detection ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Observability Engineer

Mclean, VA ยท On-site

$53.25 - $73/hr

Experience implementing AIOps workflows, including predictive alerting, anomaly detection ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Anomaly Detection information

What is the most paid part-time job?

Part-time roles in specialized fields such as software development, data analysis, and cybersecurity tend to offer higher hourly wages. Anomaly detection specialists working in tech or finance industries can earn competitive pay, especially with relevant skills and certifications, even on a part-time basis.

What is the difference between Part Time Anomaly Detection vs Part Time Data Analyst?

AspectPart Time Anomaly DetectionPart Time Data Analyst
Required CredentialsBasic knowledge of data analysis, certifications in data science or related fields helpfulDegree in statistics, data analysis, or related field; certifications like Microsoft Excel or Tableau beneficial
Work EnvironmentTech-focused, often in cybersecurity, finance, or IT sectorsBusiness, marketing, finance, or healthcare settings
Employer & Industry UsageUsed by cybersecurity firms, finance companies, and tech organizations to detect anomaliesUsed across various industries for interpreting data trends and reporting

While both roles involve data analysis skills, Part Time Anomaly Detection focuses on identifying unusual patterns or anomalies in data sets, often in cybersecurity or finance contexts. Part Time Data Analysts interpret data trends to support business decisions. The roles differ mainly in their focus: anomaly detection emphasizes security and fraud prevention, whereas data analysis centers on insights and reporting.

What jobs pay $2000 a day?

Part Time Anomaly Detection roles typically do not pay $2000 a day, as such high daily rates are uncommon for part-time positions. High-paying jobs that can reach this level often involve specialized consulting, executive roles, or freelance work in fields like finance, law, or technology, where skills and experience command premium rates. These roles usually require advanced expertise, certifications, or significant experience, and may involve project-based or contract work rather than standard employment.

What's the easiest AI job to get?

Anomaly detection roles in AI often require basic knowledge of machine learning, data analysis, and programming skills in Python or R. Entry-level positions may accept candidates with relevant certifications or coursework, and they typically involve working with existing tools and datasets, making them accessible for those new to AI. Gaining experience with common frameworks like TensorFlow or scikit-learn can improve chances of entry.

How to get into machine learning with no experience?

To pursue a part time anomaly detection role, gaining foundational knowledge in machine learning through online courses, tutorials, or certifications is essential. Developing skills in programming languages like Python, understanding data analysis, and practicing with real datasets can help build relevant experience for entry-level positions.
More about Part Time Anomaly Detection jobs
What are the most commonly searched types of Anomaly Detection jobs? The most popular types of Anomaly Detection jobs are:
Summer Research Assistant (Student)

Summer Research Assistant (Student)

American

Washington, DC โ€ข On-site

$18.40/hr

Part-time

Posted 19 days ago


Job description

Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community.This position is available only to enrolled American University students.

Most student positions at American University are eligible to use Federal Work Study (FWS) awards, with a few exceptions. FWS funds cannot be applied to janitorial, construction, partisan or sectarian positions. For information or questions regarding FWS funds, please contact American University's Office of Financial Aid.

Important guidance for current American University employees: American University current employees, including those employed in student positions, must apply through their employee Workday account. If you are a current employee at American University, please log intoyour employee Workday accountand select the Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday account may cause delays in a hire process.

Department:

College of Arts & Sciences

Time Type:

Part time

FLSA Status:

Non-Exempt

Job Description:

Summary:

The Summer Research Assistant (RA) position will support a research project on continual lifelong anomaly detection in high-stakes environments, with a focus on extending the pyCLAD library to video and graph modalities. Once implementation is complete, the student will help with literature review, dataset preparation, implementation of machine learning experiments, evaluation of anomaly detection models, and documentation of results. The project is especially relevant to applications where rare, evolving, or unexpected events must be detected reliably over time, such as cybersecurity, surveillance, infrastructure monitoring, healthcare, and scientific data analysis.

Essential Functions:

  • Help with literature review.

  • Dataset preparation.

  • Implementation of machine learning experiments.

  • Evaluation of anomaly detection models.

  • Documentation of results.

  • Other duties assigned.

Position Type/Expected Hours of Work:

  • Part-time.

  • 5 hours per week.

Salary Range:

  • $18.40 per hour.

Required Education and Experience:

  • The position is suitable for students with experience in machine learning, data mining, continual learning, and anomaly detection.

  • Experience with Python and familiarity with PyTorch is required.

Other Details

  • This position is available only to enrolled American University students.

  • Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

  • American University is an E-Verify employer.

  • Visit https://www.american.edu/hr/ for additional information about American University employment and benefits.

Current American University Employees

American University current employees (including those employed in student positions) must apply through their employee Workday account. If you are a current employee at American University, please log intoWorkdayand select the Find Jobs report which will take you to our internal career listings.

Contact Us

For more information or assistance with the American University careers site, emailtheworkline@american.edu.

American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual's genetic information or any other bases under federal or local laws (collectively "Protected Bases") in its programs and activities.