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Remote Machine Learning Finance Jobs in Ogden, UT

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

... 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 ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · Remote

... 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 ...

Gong.io

People Analytics Manager

Salt Lake City, UT · On-site +1

$175K/yr

You will also help shape how the team responsibly adopts AI and machine learning to scale ... Work from home stipend to help you succeed in a remote environment. The annual salary hiring range ...

Gong.io

Strategic Finance Manager

Salt Lake City, UT · Remote

$192K/yr

Education & learning stipend for personal growth and development. * Flexible vacation time to ... Work from home stipend to help you succeed in a remote environment. The annual salary hiring range ...

Suralink Inc

Sr. Software Engineer

Salt Lake City, UT · Remote

$125K - $165K/yr

Experience with machine learning or generative AI prompt engineering * Caching/NoSQL datastores ... Remote-friendly policy * Medical/vision/dental insurance * Life, short-term disability, and ...

Wsgr

Senior Pricing Manager

Salt Lake City, UT · On-site +1

Utilize financial modeling to evaluate pricing structures and their impact on the firm's bottom ... machine learning to optimize pricing strategies and client value. * Draft and edit highly ...

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All JobsMachine Learning Finance JobsRemote Machine Learning Finance JobsRemote Machine Learning Finance Jobs in Ogden, UT

Remote Machine Learning Finance information

See Ogden, UT salary details

$24.5K

$90.6K

$132.6K

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

As of Aug 14, 2026, the average yearly pay for remote machine learning finance in Ogden, UT is $90,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,400.00 and $106,700.00 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 job categories do people searching Remote Machine Learning Finance jobs in Ogden, UT look for?

The top searched job categories for Remote Machine Learning Finance jobs in Ogden, UT are:

What cities near Ogden, UT are hiring for Remote Machine Learning Finance jobs?

Cities near Ogden, UT with the most Remote Machine Learning Finance job openings:

Remote Machine Learning Finance jobs near you
Infographic showing various Remote Machine Learning Finance job openings in Ogden, UT as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $90,647 per year, or $43.6 per hour.

AI/ML Data Contributor

TSMG

Salt Lake City, UT • Remote

Full-time

Re-posted 18 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve 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 or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

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.