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Remote Data Science Apprenticeship Jobs in Utah (NOW HIRING)

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$40/hr

Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Applause

AI Solutions Engineer

Salt Lake City, UT · On-site +1

Bachelor's degree in Information Systems, Business Systems, Data Science, Computer Science, or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Solutions Engineer

Salt Lake City, UT · Remote

Bachelor's degree in Information Systems, Business Systems, Data Science, Computer Science, or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

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Remote Data Science Apprenticeship information

What is a remote data science apprenticeship?

A Remote Data Science Apprenticeship is a structured training program that allows individuals to gain practical experience in data science while working from a remote location. These apprenticeships typically combine mentorship, hands-on projects, and coursework to help participants develop essential skills like data analysis, machine learning, and programming. Apprentices work with real-world datasets and collaborate with experienced data scientists, often as part of a distributed team. The remote format offers flexibility and accessibility, making it easier for people from various backgrounds to enter the data science field.

What are the key skills and qualifications needed to thrive as a remote data science apprentice?

To thrive as a Remote Data Science Apprentice, you need a solid understanding of statistics, programming (commonly Python or R), and a relevant educational background such as coursework or a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, SQL, and visualization platforms, as well as version control systems such as Git, is typically required. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for remote collaboration and continuous learning. These skills and qualities are crucial for effectively analyzing data, contributing to team projects, and adapting to the dynamic, independent nature of remote work environments.

What are some common challenges faced during a remote data science apprenticeship, and how can they be overcome?

Remote data science apprenticeships often present challenges such as limited face-to-face mentorship, managing time across different projects, and staying motivated without in-person team dynamics. To overcome these, it's important to proactively communicate with your mentors and peers, make use of collaborative tools like Slack or Zoom, and set clear, achievable goals each week. Establishing a structured daily routine and regularly participating in virtual team meetings can also help maintain accountability and foster a sense of connection with the team.

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

AspectRemote Data Science ApprenticeshipRemote Data Analyst
Required CredentialsTypically entry-level, often requiring a background in math, statistics, or computer science; may include certifications or coursesUsually requires a degree in data-related fields; certifications like Excel, SQL, or Tableau are common
Work EnvironmentTraining-focused, often with mentorship; may involve project-based learningOperational, analyzing data to support business decisions; may involve reporting and visualization
Employer & Industry UsageUsed by companies to train future data scientists; common in tech, finance, healthcareUsed across industries for data-driven decision making; common in marketing, finance, retail

The Remote Data Science Apprenticeship is a training program designed to develop skills in data science, often with mentorship, while a Remote Data Analyst focuses on analyzing and interpreting data to inform business strategies. Both roles require familiarity with data tools, but apprenticeships emphasize learning and growth, whereas analyst roles focus on applying existing skills.

What are popular job titles related to Remote Data Science Apprenticeship jobs in Utah?

For Remote Data Science Apprenticeship jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Apprenticeship jobs in Utah look for?

The top searched job categories for Remote Data Science Apprenticeship jobs in Utah are:

What cities in Utah are hiring for Remote Data Science Apprenticeship jobs?

Cities in Utah with the most Remote Data Science Apprenticeship job openings:

Remote Data Science Apprenticeship jobs near you
Infographic showing various Remote Data Science Apprenticeship job openings in Utah as of June 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Provo, UT • Remote

$70 - $90/hr

Part-time

Re-posted 9 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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