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Part Time Remote Machine Learning Jobs in Illinois

Trinity Health

Virtual Monitoring Attendant

Maywood, IL · On-site +1

$16.50 - $22.11/hr

... Part time Shift: 12 Hour Night Shift Description: Please note that this position is not Remote and ... Basic Computer skills required, and will accompany on the job learning * Experience working in ...

Rush University Medical Center

Research Intern

Chicago, IL · On-site +1

$17 - $25/hr

Neurological Sciences-Res Adm Work Type: Part Time (Total FTE between 0. 5 and 0. 89) Shift: Shift ... Preferred Job Qualifications: • Interest in learning about research, data analysis, or scientific ...

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All JobsPart Time Remote Machine Learning JobsPart Time Remote Machine Learning Jobs in Illinois

Part Time Remote Machine Learning information

See Illinois salary details

$7

$22

$56

How much do part time remote machine learning jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for part time remote machine learning in Illinois is $22.40, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $26.01 per hour, depending on experience, location, and employer.

Which 5 jobs will survive AI?

Part Time Remote Machine Learning roles are likely to persist because they require specialized knowledge, problem-solving skills, and ongoing adaptation to new algorithms. Jobs involving complex decision-making, creative tasks, and human interaction—such as data scientists, AI ethics specialists, software engineers, cybersecurity analysts, and technical trainers—are expected to remain in demand despite AI advancements.

How to make $1000 a week remotely?

A part-time remote machine learning role can generate $1000 weekly by working on high-demand projects, leveraging skills in data analysis, programming, and model development. Earning this amount typically requires consistent effort, specialized knowledge, and possibly multiple freelance or contract assignments, often with flexible schedules and the use of online platforms to find opportunities.

What are the key skills and qualifications needed to thrive as a Part Time Remote Machine Learning professional, and why are they important?

To thrive as a Part Time Remote Machine Learning professional, you need a strong grasp of mathematics, statistics, programming (commonly Python), and a relevant educational background such as a degree in computer science or a related field. Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch) and version control systems like Git is typically required. Excellent time management, self-motivation, and clear communication skills are crucial for navigating remote collaboration and project deadlines. These skills ensure that you can independently deliver high-quality ML solutions while effectively contributing to distributed teams.

What are part time remote machine learning jobs?

Part time remote machine learning jobs are positions where professionals work on machine learning projects or tasks for a limited number of hours per week, and do so from a location outside the traditional office environment, often from home. These roles typically involve developing, testing, or deploying machine learning models, analyzing data, and collaborating with teams online. They are ideal for people seeking flexibility, such as students, freelancers, or individuals balancing other commitments, while contributing to projects in fields like AI, data science, or analytics.

How do part-time remote machine learning roles typically structure collaboration and communication with the rest of the team?

Part-time remote machine learning professionals often collaborate with teams using digital tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular check-ins, virtual stand-ups, and shared documentation ensure alignment on project goals and timelines despite differing work hours. Clear communication and proactive updates are important, as team members may be dispersed across time zones and working non-overlapping schedules. Flexibility and self-motivation are key to staying connected and contributing effectively in this distributed work environment.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or at top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized knowledge and impact on business outcomes.

What is the difference between Part Time Remote Machine Learning vs Part Time Remote Data Scientist?

AspectPart Time Remote Machine LearningPart Time Remote Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, collaborative teams, project-focused
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research
Common Search IntentPart Time Remote Machine Learning jobs, freelance ML rolesPart Time Remote Data Scientist jobs, freelance data roles

Part Time Remote Machine Learning roles focus on developing algorithms and models, often requiring programming and ML frameworks. Part Time Remote Data Scientist positions involve analyzing data, creating insights, and may include statistical analysis. Both roles are remote and flexible but differ in core responsibilities and skill sets.

How to make 2000 a week working from home?

A part time remote machine learning role can generate around $2000 weekly if you have advanced skills in data analysis, programming, and experience with tools like Python and TensorFlow. Earning this amount typically requires multiple projects, consistent client work, or high-demand expertise, often involving freelancing platforms or direct client contracts. Building a strong portfolio and networking can help secure higher-paying opportunities in this field.
What are the most commonly searched types of Remote Machine Learning jobs in Illinois? The most popular types of Remote Machine Learning jobs in Illinois are:
What are popular job titles related to Part Time Remote Machine Learning jobs in Illinois? For Part Time Remote Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Machine Learning jobs in Illinois look for? The top searched job categories for Part Time Remote Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Part Time Remote Machine Learning jobs? Cities in Illinois with the most Part Time Remote Machine Learning job openings:
Part Time Remote Machine Learning jobs near you
HR Talent Recruiter Summer Intern

HR Talent Recruiter Summer Intern

Blue Star Partners

Chicago, IL • On-site, Remote

$16 - $17/hr

Part-time, Temporary, Internship

Posted 19 days ago

Job description

Title: HR Summer Talent Recruiter Intern
Location: Chicago, IL (100% Remote)
Length: 3 Months
Type: Internship
Rate: $16 - $17/hr - Eligible for performance bonus based incentives
Hours: Part-Time
Position Overview
We are seeking an HR Summer Intern for a 3-month internship supporting HR, recruiting, and talent acquisition activities. This role is based in Chicago, IL and is 100% remote, with an expected schedule of 20 hours per week.
The internship pays $16/hour - $17/hr and includes eligibility for a performance-based bonus structure tied to recruiting support, job posting activity, candidate screening, and overall contribution to hiring goals.
This opportunity is ideal for someone with 0-2 years of experience in HR, talent acquisition, recruiting, staffing, business administration, or a related field who is looking to gain hands-on experience in the recruiting process.
Key Responsibilities
  • Create, edit, and post job openings across recruiting platforms and job boards.
  • Review resumes and screen candidates based on role requirements.
  • Identify qualified candidates and summarize candidate fit for open positions.
  • Support candidate sourcing through LinkedIn, job boards, and other recruiting tools.
  • Maintain organized candidate records and assist with tracking recruiting activity.
  • Help coordinate communication between recruiters, candidates, and internal team members.
  • Assist with early-stage candidate screening and recruiting follow-up.
  • Support general HR, talent acquisition, and administrative tasks as needed.
  • Maintain professionalism and confidentiality when handling candidate and company information.

Required Qualifications
  • 0-2 years of experience in HR, talent acquisition, recruiting, staffing, or a related area.
  • Interest in human resources, recruiting, talent management, or business operations.
  • Strong written communication skills.
  • Ability to review resumes and identify relevant skills, experience, and qualifications.
  • Detail-oriented with strong organizational and follow-up skills.
  • Comfortable working independently in a 100% remote environment.
  • Proficient with Microsoft Office, Google Workspace, or similar tools.
  • Ability to manage multiple tasks and meet deadlines.

Preferred Qualifications
  • Previous internship, administrative, customer service, business support, or recruiting experience.
  • Exposure to LinkedIn, Indeed, or other recruiting/job posting platforms.
  • Coursework in Human Resources, Business Administration, Communications, Psychology, or a related field.
  • Interest in learning the full recruiting lifecycle, including job posting, resume screening, sourcing, and candidate tracking.

Skills
  • Resume screening
  • Job posting support
  • Candidate sourcing
  • Recruiting coordination
  • Written communication
  • Attention to detail
  • Organization and follow-up
  • Microsoft Office / Google Workspace
  • Basic HR and recruiting support

Equal Opportunity Statement
We are an equal opportunity employer and welcome applicants from all backgrounds. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, veteran status, or any other protected status under applicable law.

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