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Machine Learning Scientist Jobs in Rhode Island (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Providence, RI · Remote

$70 - $90/hr

Prior experience developing or applying rubrics in scientific or educational contexts. * Experience with AI, machine learning, or annotation projects related to biology or microbiology. * Advanced ...

Harris

(Remote) AI Champion

Carolina, RI · Remote

$70K - $100K/yr

... machine learning models, frameworks (like TensorFlow or PyTorch), and infrastructure to get the job done. * Lead & Collaborate: Guide cross-functional teams of data scientists and engineers to build ...

New

Harris

(Remote) AI Champion

Carolina, RI · Remote

$70K - $100K/yr

... machine learning models, frameworks (like TensorFlow or PyTorch), and infrastructure to get the job done. * Lead & Collaborate: Guide cross-functional teams of data scientists and engineers to build ...

New

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Showing results 41-60

All JobsMachine Learning Scientist JobsMachine Learning Scientist Jobs in Rhode Island

Machine Learning Scientist information

See Rhode Island salary details

$78.4K

$142.3K

$199.3K

How much do machine learning scientist jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning scientist in Rhode Island is $142,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,384.00 and $158,352.00 per year, depending on experience, location, and employer.

What is a machine learning scientist?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What does a machine learning scientist do?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What skills and qualifications are needed to be a machine learning scientist?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

Is machine learning a high paying job?

Machine Learning Scientists typically earn high salaries due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python and TensorFlow. Salaries vary by industry, experience, and location but are generally above average compared to many other tech roles.

What are the most commonly searched types of Machine Learning Scientist jobs in Rhode Island?

The most popular types of Machine Learning Scientist jobs in Rhode Island are:

What are popular job titles related to Machine Learning Scientist jobs in Rhode Island?

For Machine Learning Scientist jobs in Rhode Island, the most frequently searched job titles are:

What job categories do people searching Machine Learning Scientist jobs in Rhode Island look for?

The top searched job categories for Machine Learning Scientist jobs in Rhode Island are:

Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $142,285 per year, or $68.4 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Providence, RI • Remote

$70 - $90/hr

Part-time

Posted 23 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 — 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. Bachelor’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 (Master’s or PhD) in a relevant field.

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