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Remote Machine Learning Finance Jobs in Chicago, IL

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Data Scientist

Northbrook, IL ยท Remote

$80K - $120K/yr

Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

Data Scientist

Northbrook, IL ยท Remote

$80K - $120K/yr

Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras * Experience ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

Customer Care Associate

Des Plaines, IL ยท Remote

$20 - $25/hr

Remote (must be available to work Central Time hours) At SmartCardia, we're not just improving ... Our core technology team includes leading minds in data science, embedded machine learning ...

New

Our AI solutions incorporate AI and machine learning spectrum, including (but not limited to) time ... It's the only enterprise finance platform that unifies financial and operational data, embeds AI ...

Showing results 41-60

Remote Machine Learning Finance information

See Chicago, IL salary details

$25.8K

$95.4K

$139.6K

How much do remote machine learning finance jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote machine learning finance in Chicago, IL is $95,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $112,300.00 per year, depending on experience, location, and employer.

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.
What are the most commonly searched types of Machine Learning Finance jobs in Chicago, IL? The most popular types of Machine Learning Finance jobs in Chicago, IL are:
What job categories do people searching Remote Machine Learning Finance jobs in Chicago, IL look for? The top searched job categories for Remote Machine Learning Finance jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Machine Learning Finance jobs? Cities near Chicago, IL with the most Remote Machine Learning Finance job openings:
Infographic showing various Remote Machine Learning Finance job openings in Chicago, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $95,424 per year, or $45.9 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Elgin, IL โ€ข Remote

$70 - $90/hr

Part-time

Posted 12 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique 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 โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.