2

Remote Machine Learning Jobs in Utah (NOW HIRING)

... machine learning systems extract from published legal materials. This role is ideal for law ... Nationwide, current student at any accredited law school in the US, open to in-office or remote ...

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Stormwater Engineer

Draper, UT · On-site +1

$100/hr

Routinely requires the use of standard office equipment such as computers, phones and copy machines ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Gaming Software Engineer: 25-05356

Lehi, UT · On-site +1

$101.34 - $105.63/hr

Remote as per CST time zone (Lehi, UT, US) Pay Range: $101.34 - $105.63 per hour on w-2 Job Summary: Join our innovative game development team on a contractual basis as a Senior Contract Software ...

Senior Software Engineer

Salt Lake City, UT · On-site +1

$152K - $205K/yr

Excellent communication skills, able to collaborate with remote teams, share ideas and present concepts effectively. * Self-starter, you enjoy moving at a fast pace, shipping software that improves ...

Showing results 41-60

Remote Machine Learning information

See Utah salary details

$23.2K

$38.8K

$80.1K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Utah is $38,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,600.00 and $41,900.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Utah?

The most popular types of Machine Learning jobs in Utah are:

What cities in Utah are hiring for Remote Machine Learning jobs?

Cities in Utah with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $38,767 per year, or $18.6 per hour.

Legal Research - Internship

Filevine

Salt Lake City, UT • On-site, Remote

Full-time, Part-time, Internship

Medical, Dental, Vision

Re-posted 27 days ago


Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency.
 
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.

Role Summary:
 
Filevine is developing new AI-powered tools for the legal industry. As part of this effort, we need people with real legal research training to review and validate data that our machine learning systems extract from published legal materials.
 
This role is ideal for law students who enjoy close reading of judicial opinions and legal analysis, and who are curious about how AI is being applied to legal practice. 
Role Details
  • Role Details Position:  Part-Time Legal Research Intern 
  • Location:  Nationwide, current student at any accredited law school in the US, open to in-office or remote flexibility
  • Hours:  10-20 hours per week (flexible around class schedules) 
  • Eligibility:  2L and 3L students
Responsibilities
  • Read and analyze published judicial opinions across state and federal jurisdictions. 
  • Review outputs generated by AI systems and verify their accuracy against the source legal materials. 
  • Apply your legal research training to identify errors, ambiguities, or edge cases in automated outputs. 
  • Collaborate with legal researchers and ML engineers to improve data quality over time.
Qualifications
  • Currently enrolled as a 2L or 3L at the University of Utah S.J. Quinney College of Law or BYU J. Reuben Clark Law School
  • Completion of at least the 1L curriculum, including legal research and writing. 
  • Enjoy reading and analyzing judicial opinions, statutes, and other legal authorities. 
  • Strong attention to detail and familiarity with legal writing. Interest in legal technology or AI.
Why Complete An Internship at Filevine?
  • Gain hands-on experience working at the intersection of AI and law (which, in our view, is a meaningful differentiator in a changing legal market!) 
  • Apply your legal training to real-world problems that will shape how attorneys work with technology. 
  • Work alongside experienced legal researchers and ML engineers on a cross-functional, international team. 
  • Flexible, part-time schedule designed to work around law school commitments. 
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine's equal employment opportunities, you may contact us at [email protected]
 
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive 
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
 
Privacy Policy Notice
Filevine will handle your personal information according to what's outlined in our Privacy Policy.
 
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job