2

Remote Machine Learning Jobs (NOW HIRING)

AI / Machine Learning Roles (Remote, USA) Location: Remote, USA Employment type: Contract Indicative rate: $87-$117/hr We are seeking talented professionals in the AI and Machine Learning domain to ...

They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for maritime domain awareness, working on real-world projects that impact warfighter capabilities.

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

We are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language ...

The Role We are seeking a Machine Learning Engineer to develop advanced models for extracting meaningful signals from multimodal time-series data. This role focuses on building robust, real-time ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

As a Machine Learning Engineer, you're a highly motivated individual with strong fundamentals in computer science and handson experience across the full model development lifecycle-including feature ...

Senior Machine Learning Engineer

$125K - $165K/yr

This is a fully remote position, allowing you to work from home or location of record within the U ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role ...

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role ...

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

This is a fully remote position, allowing you to work from home or location of record within the U ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Showing results 41-60

Remote Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do remote machine learning jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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 cities are hiring for Remote Machine Learning jobs?

Cities with the most Remote Machine Learning job openings:

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

The most popular types of Machine Learning jobs are:

What states have the most Remote Machine Learning jobs?

States with the most job openings for Remote Machine Learning jobs include:

Infographic showing various Remote Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

AI / Machine Learning Roles (Remote, USA)

Remote

OmegaHires
Recruiting and Staffing Services • 11 - 50 employees

$87 - $117/hr

Contractor

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

AI / Machine Learning Roles (Remote, USA)
Location: Remote, USA
Employment type: Contract
Indicative rate: $87-$117/hr
We are seeking talented professionals in the AI and Machine Learning domain to join various teams focused on innovative projects. These roles involve designing, developing, and implementing AI solutions that leverage Generative AI and machine learning technologies. Candidates will work in collaborative environments, utilizing cloud platforms and modern programming languages to create scalable applications and services. The positions are contract-based, offering flexibility and the opportunity to work remotely across the USA.
Core skills
  • AI
  • Machine Learning
  • Python
  • Generative AI
  • LLMs
  • Cloud
  • Data Engineering
  • APIs
  • Microservices
  • Automation
Required qualifications
  • 5+ years of experience in AI/ML or related fields
  • Strong programming skills in Python
  • Experience with Generative AI and LLMs
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud)
  • Experience in building and deploying AI solutions
  • Knowledge of data engineering and pipeline design
  • Ability to work in agile environments
  • Experience with REST APIs and microservices architecture
  • Strong problem-solving skills and ability to troubleshoot
  • Bachelor's degree or equivalent in a relevant field
Preferred qualifications
  • Experience with Ansible and automation tools
  • Familiarity with orchestration frameworks like LangChain
  • Experience in financial services or asset management
  • Knowledge of document processing and validation techniques