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Machine Learning Part Time Jobs in Ohio (NOW HIRING)

Heidelberg University

Security Officer Part-Time

Tiffin, OH · On-site

$14 - $16.75/hr

... learning, build collaborative peer relationships, dedicated to hard-working teamwork, a strong ... fax machine, copier, telephone, two-way radio communication devices scanner, and printers.

Booz Allen Hamilton, Inc.

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... machine learning. This is your chance to apply and develop your skills in all areas of systems ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... machine learning. This is your chance to apply and develop your skills in all areas of systems ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... machine learning. This is your chance to apply and develop your skills in all areas of systems ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... machine learning. This is your chance to apply and develop your skills in all areas of systems ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Systems Engineer

Beavercreek, OH · On-site +1

$61K - $141K/yr

... machine learning. This is your chance to apply and develop your skills in all areas of systems ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Upper Arlington Schools

Educational Aide

Columbus, OH · On-site

$18.55 - $20.31/hr

Regular/Part-time FLSA Status: Exempt Probationary Period: 120 work days Description: Assists ... Skills that foster and facilitate learning and classroom management * Ability to work in a team ...

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Machine Learning Part Time information

See Ohio salary details

$24.2K

$40.5K

$83.7K

How much do machine learning part time jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning part time in Ohio is $40,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,700.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the most commonly searched types of Machine Learning jobs in Ohio?

The most popular types of Machine Learning jobs in Ohio are:

What are popular job titles related to Machine Learning Part Time jobs in Ohio?

For Machine Learning Part Time jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Machine Learning Part Time jobs in Ohio look for?

The top searched job categories for Machine Learning Part Time jobs in Ohio are:

Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,484 per year, or $19.5 per hour.

Research Intelligence Analyst

Beavercreek, OH

Parallax Advanced Research
See more jobs at Parallax Advanced Researchexternal

Full-time, Part-time

Posted 29 days ago

Key responsibilities

  • Support research initiatives and operational challenges through GEOINT, All-Source, and Multi-INT analysis to produce assessments and actionable recommendations.

  • Evaluate emerging technologies such as automation, machine learning, and AI to develop workflows and improve analytical capabilities.

  • Collaborate with software developers, data scientists, and stakeholders to evaluate, test, and develop intelligence capabilities and use cases.

Job description

Job Description
Parallax Advanced Research is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
Position Title
Department
Reports to
Research Intelligence Analyst
Employment Status
FLSA Status
Effective Date
☐ Temporary ☒ Full-Time ☐ Part-Time
☐ Non-Exempt ☒ Exempt
Work Location
Location Address
Location State, Zip
☒ Client-site ☐ Company ☐ Remote
Beavercreek, Ohio
Position Summary
The Parallax Advanced Research Mission is to deliver innovative research and provide technology, human and business solutions via The Science of Intelligent Teaming™ for government, industry and academic clients with critical challenges.
The Research Intelligence Analyst supports this mission through GEOINT, All-Source and Multi-INT analysis to advance next-generation intelligence capabilities for the Air Force Research Laboratory (AFRL) and other Department of War (DoW) and Intelligence Community (IC) partners. The analyst executes projects with government sponsors to advance future intelligence capabilities for DoW customers. This role combines operational intelligence tradecraft with research and development to evaluate emerging analytical methodologies, AI-enabled capabilities, and data-driven technologies that improve intelligence production and decision advantage.
In this position at Parallax Advanced Research the Research Intelligence Analyst must promote transparency at all times, always act ethically, promote and ensure compliance, our people as our greatest asset, and create an environment that supports innovation and inclusive behaviors.
Essential Duties and Responsibilities
The essential functions include, but are not limited to the following:
Intelligence Analysis and Research - Percent of time spent in this function: 30%
The Research Intelligence Analyst is responsible for GEOINT, All-Source, and Multi-INT analysis to support IC and DoW research initiatives, operational challenges, and the development of innovative analytical techniques, concepts, and use cases. Analyze complex intelligence datasets to identify patterns, trends, and operational insights, applying structured analytic techniques, critical thinking, and intelligence tradecraft to produce timely assessments and actionable recommendations that enhance intelligence production and inform customer decision-making.
Advanced Analytics, AI, amp; Automation - Percent of time spent in this function: 25%
Evaluate emerging technologies, including automation, machine learning, LLMs, and data science, to enhance intelligence analysis and decision support. Collaborate with technical teams to develop AI-enabled workflows, assess automated analytical outputs, and recommend improvements that enhance analyst efficiency and operational effectiveness.
Research amp; Prototype Development Support - Percent of time spent in this function: 20%
Collaborate with software developers, data scientists, and government stakeholders to evaluate emerging intelligence capabilities and support Agile development through operational testing, user validation, and analyst-driven requirements. Develop intelligence use cases amp; workflows and participate in customer engagements and technical exchanges to ensure capabilities meet DoW and Intelligence Community (IC) mission needs.
Data Validation amp; Intelligence Quality - Percent of time spent in this function: 15%
Perform intelligence data validation, ground-truth development, and quality assurance to support research and development efforts. Evaluate automated detections, analytical outputs, and intelligence datasets for operational accuracy and mission relevance, documenting findings and recommending improvements to enhance analytical methodologies and intelligence products.
Communication amp; Customer Engagement - Percent of time spent in this function: 10%
Prepare and present intelligence products, technical reports, briefings, and research findings for government sponsors and leadership. Engage with DoW and IC stakeholders to define mission requirements, support capability development, and contribute to proposals, strategic planning, and future intelligence initiatives.
Minimum Qualifications (Knowledge, Skills, and Abilities)
• Minimum of 4 years of experience conducting GEOINT, All-Source, Multi-INT, or ISR analysis supporting DoW or IC missions.
• Experience conducting intelligence research, analysis, and producing written intelligence assessments and briefings.
• Demonstrated knowledge of intelligence tradecraft, structured analytic techniques, and critical thinking methodologies.
• Ability to analyze complex, ambiguous, and high-volume intelligence datasets and communicate findings effectively.
• Experience collaborating within multidisciplinary teams, including analysts, software developers, data scientists, and government stakeholders.
• Active TS/SCI security clearance with SCI eligibility.
Preferred Qualifications (Knowledge, Skills, and Abilities)
• Preferred four or more years supporting AFRL, NASIC, NGA, DIA, USAF, or other DoW organizations.
• Bachelor's degree in Intelligence Studies, International Relations, Geosciences, Computer Science, Data Science, or a related field, or equivalent combination of education and professional experience.
• Experience integrating GEOINT with other intelligence disciplines, including SIGINT, MASINT, OSINT, or other Multi-INT sources.
• Experience supporting research and development, prototype evaluation, user acceptance testing, or operational capability assessments.
• Familiarity with AI-enabled analytical workflows, machine learning applications, Large Language Models (LLMs), or data science techniques supporting intelligence analysis.
• Experience developing intelligence use cases, analyst workflows, operational requirements, or Concepts of Operation (CONOPS).
• Proficiency with intelligence analysis and geospatial tools such as ArcGIS, MIST, Thresher, ChatSurfer, or comparable IC analytical platforms.
• Interest in applying or evaluating LLMs for intelligence analysis and analytical workflows.
Physical Demands and Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

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