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Part Time Remote Machine Learning Jobs in Illinois

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

... type (full-time, part-time, or contract). Why Join Performacentric? * Work on cutting-edge AI ... Help shape a next-generation SaaS learning platform * Flexible remote work environment

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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:
Engineering AI Evaluator (PhD)

Engineering AI Evaluator (PhD)

micro1 AI

Chicago, IL • Remote

$80 - $90/hr

Part-time

Posted 3 days ago


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions