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Remote Machine Learning Engineer Jobs in Boise, ID

TSMG

AI/ML Data Contributor

Boise, ID · 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

Boise, ID · 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 ...

H R PUNDITS INC

Data Analyst V

Boise, ID · Remote

$130K/yr

USA Remote Responsibilities * Work with large and complex datasets to solve challenging problems ... Apply advanced statistical modeling, machine learning, and natural language processing (NLP) to ...

WalkMe

DevOps Engineer

Boise, ID · Remote

$54 - $74/hr

A proactive and self-motivated approach to learning and adopting new technologies. * Passion for ... We offer a hybrid work schedule to perfectly combine the benefits of remote work and the essential ...

Sargent & Lundy

Lead Electrical Engineer

Boise, ID · On-site +1

$152K - $158K/yr

Develop your career via peer-learning by way of S&L's systems of process and associated ... This position is expected to start remote with the expectation to work on a hybrid work schedule ...

Sargent & Lundy

Lead Electrical Engineer

Boise, ID · On-site +1

$152K - $158K/yr

Develop your career via peer-learning by way of S&L's systems of process and associated ... This position is expected to start remote with the expectation to work on a hybrid work schedule ...

Sargent & Lundy

Electrical Engineer Manager

Boise, ID · On-site +1

$145K - $222K/yr

Develop your career via peer-learning by way of S&L's systems of process and associated ... This position is expected to start remote with the expectation to work on a hybrid work schedule ...

Sargent & Lundy

Electrical Engineer Manager

Boise, ID · On-site +1

$145K - $222K/yr

Develop your career via peer-learning by way of S&L's systems of process and associated ... This position is expected to start remote with the expectation to work on a hybrid work schedule ...

Intuit

Senior Pre-Sales Engineer

Boise, ID · Remote

$44 - $59.50/hr

This role will help accelerate knowledge, proactively address learning needs, and provide feedback ... California Remote (Bay Area) $44- $59.5 New York Remote $43- $58.5 Washington Remote $37 ...

H R PUNDITS INC

Senior AI/ML Engineer

Boise, ID · Remote

$130K/yr

Remote 10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark, and optimize text embedding and vector search solutions for large-scale clinical data. This role ...

Leidos

Senior & Lead Transmission Line Engineers

Boise, ID · On-site +1

$73K - $132K/yr

Work Location: 100% REMOTE (must reside within the U.S. Preference given to candidates willing to ... Professional Engineer (PE) License or Engineer-in-Training (EIT) certification. * Experience with ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Boise, ID

Remote Machine Learning Engineer information

See Boise, ID salary details

$30K

$122.6K

$184.2K

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

As of Jul 24, 2026, the average yearly pay for remote machine learning engineer in Boise, ID is $122,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,600.00 and $147,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are popular job titles related to Remote Machine Learning Engineer jobs in Boise, ID? For Remote Machine Learning Engineer jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Boise, ID look for? The top searched job categories for Remote Machine Learning Engineer jobs in Boise, ID are:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Boise, ID as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,560 per year, or $58.9 per hour.

AI/ML Data Contributor

TSMG

Boise, ID • Remote

Part-time

Posted 27 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.