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Remote Data Science Intern Jobs in Madison, WI (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Hydrogeologist

Madison, WI ยท On-site +1

$69K - $87K/yr

Remote work requires an approved flexible work arrangement (FWA). A FWA requires successful ... Broad training in the geological sciences, and experience in working with subsurface data sets.

... and data SaaS products with triple-digit growth rates. We're a fully remote team of 100+ spread ... and data science teams to bring solutions to market. Through deep customer engagement with ...

New Business Development Manager

Madison, WI ยท Remote

$155K - $165K/yr

... technical/scientific data to diverse audiences. * Cross-Functional Collaboration: Coordinate ... Remote work with the opportunity to travel 60% of the time * Training opportunities * Learning and ...

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.

Pharmacovigilance Expert

Madison, WI ยท Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

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Remote Data Science Intern information

See Madison, WI salary details

$12

$22

$42

How much do remote data science intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote data science intern in Madison, WI is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.71 per hour, depending on experience, location, and employer.

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are popular job titles related to Remote Data Science Intern jobs in Madison, WI? For Remote Data Science Intern jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Madison, WI look for? The top searched job categories for Remote Data Science Intern jobs in Madison, WI are:
What cities near Madison, WI are hiring for Remote Data Science Intern jobs? Cities near Madison, WI with the most Remote Data Science Intern job openings:
Infographic showing various Remote Data Science Intern job openings in Madison, WI as of August 2026, with employment types broken down into 45% Internship, and 55% Full Time. Highlights an 100% Remote job distribution, with an average salary of $47,166 per year, or $22.7 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Madison, WI โ€ข Remote

$70 - $90/hr

Part-time

Posted 14 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.