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Hourly Remote Machine Learning Jobs (NOW HIRING)

Calendly

Machine Learning Engineer

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing the full machine learning lifecycle hands-on, from problem discovery through model deployment and ...

Spear AI

Machine Learning Engineer

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.

Accelint

Machine Learning Engineer

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 ...

Canals

Machine Learning Engineer

Denver, CO · Remote

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 ...

Canals

Machine Learning Engineer

New York, NY · Remote

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 ...

Interwell Health

Machine Learning Engineer

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 ...

CVS Health

Sr Machine Learning Engineer

Irving, TX · On-site +1

$112K - $185K/yr

Remote work permitted but must live within commuting distance of designated office location and ... This pay range represents the base hourly rate or base annual full-time salary for all positions in ...

Canals

Machine Learning Engineer

San Francisco, CA · Remote

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 ...

Liquid XR

Machine Learning Engineer

Los Angeles, CA · On-site +1

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 ...

SmarterDx

Staff Software Engineer, Machine Learning

$250K/yr

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 ...

Paylocity

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 ...

Paylocity

Staff Machine Learning Engineer

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 ...

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Hourly Remote Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Sep 7, 2026, the average yearly pay for hourly 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 the difference between Hourly Remote Machine Learning vs Hourly Remote Data Scientist?

AspectHourly Remote Machine LearningHourly Remote Data Scientist
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are commonRequires a degree in statistics, data science, or related fields; certifications in data analysis or statistical modeling are beneficial
Work EnvironmentRemote, project-based, often involves developing algorithms and modelsRemote, analytical focus, involves data analysis, visualization, and insights generation
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, tech firms

Hourly Remote Machine Learning professionals focus on developing algorithms and models, often requiring specialized AI knowledge, while Hourly Remote Data Scientists analyze data to generate insights. Both roles are remote, but their core tasks and industry applications differ slightly.

More about Hourly Remote Machine Learning jobs

What cities are hiring for Hourly Remote Machine Learning jobs?

Cities with the most Hourly Remote Machine Learning job openings:

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

The most popular types of Remote Machine Learning jobs are:

What states have the most Hourly Remote Machine Learning jobs?

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

What job categories do people searching Hourly Remote Machine Learning jobs look for?

The top searched job categories for Hourly Remote Machine Learning jobs are:

Hourly Remote Machine Learning jobs near you
Infographic showing various Hourly Remote Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer - Model Evaluation & Experimentation

Weekday AI

Remote

$60 - $90/hr

Part-time

Re-posted 9 days ago

Job description

This role is for one of our clients
Compensation: $60-$90 per hour
Join a pioneering AI initiative focused on building the next generation of evaluation benchmarks for frontier AI models. We are seeking experienced Machine Learning Engineers and Researchers to bring hands-on expertise in model development, experimentation, and evaluation to create rigorous benchmark tasks for advanced AI systems.
In this role, you will design sophisticated, multi-step machine learning challenges inspired by real-world research workflows. From implementing experimental ideas and running training pipelines to analyzing model behavior and validating results, you will help establish high-quality evaluation benchmarks that reveal the strengths and limitations of frontier AI models.
This is a fully remote, full-time engagement requiring approximately 35 hours per week.
Requirements
Key Responsibilities
  • Design realistic machine learning benchmark tasks based on research workflows, including model implementation, experimentation, training, evaluation, and performance analysis.
  • Translate open-ended research concepts into structured, reproducible evaluation tasks with clearly defined success criteria.
  • Implement machine learning solutions using Python, execute experiments, and produce reference implementations that demonstrate correct methodology and expected outcomes.
  • Develop benchmark tasks involving reinforcement learning concepts such as reward functions, policy optimization, training dynamics, and model behavior where applicable.
  • Evaluate AI-generated solutions by identifying implementation errors, experimental flaws, incorrect reasoning, and unsupported conclusions.
  • Collaborate with AI researchers and fellow subject matter experts to continuously improve benchmark quality, technical rigor, and evaluation consistency.
Required Qualifications
  • Master's degree, PhD, or equivalent practical experience in Machine Learning, Computer Science, Artificial Intelligence, Data Science, or another quantitative STEM discipline.
  • Minimum 1 year of professional experience in machine learning research, research engineering, applied AI, or another research-intensive technical role.
  • Strong hands-on experience designing, training, evaluating, and optimizing machine learning models through complete experimental workflows.
  • Practical experience conducting machine learning experiments, including experiment setup, hyperparameter tuning, execution, validation, and analysis.
  • Strong understanding of modern Large Language Models (LLMs), their capabilities, limitations, and evaluation methodologies.
  • Proficiency in Python and Git, with experience working in both script-based and notebook-based development environments.
  • Familiarity with reinforcement learning concepts-including reward functions, policy optimization, and training behavior-is preferred.
  • Experience with AI evaluation, benchmark development, AI training, or task authoring is highly desirable.
  • Excellent analytical thinking, creativity, attention to detail, and the ability to solve complex, open-ended technical problems independently.
  • Strong written communication skills for documenting experimental methodologies and technical findings.
  • Ability to commit approximately 35 hours per week on a consistent basis.
Preferred Qualifications
  • Experience developing or evaluating large language models, foundation models, or generative AI systems.
  • Background in reinforcement learning, deep learning, distributed training, or model optimization.
  • Familiarity with benchmark design, AI safety evaluations, or research-quality experimentation.
  • Experience contributing to research publications, open-source machine learning projects, or advanced AI systems.
Why Join
  • Help shape how next-generation AI systems are evaluated through rigorous machine learning experimentation.
  • Collaborate with leading AI researchers developing frontier evaluation benchmarks.
  • Apply your expertise to improve AI reasoning, model quality, and experimental reliability.
  • Contribute directly to benchmark development that advances the capabilities of state-of-the-art AI systems.
  • Enjoy the flexibility of a fully remote engagement while working on impactful AI research initiatives.
Equal Opportunity
We are committed to fostering an inclusive and diverse environment where all qualified applicants receive equal consideration. Reasonable accommodations are available throughout the application and engagement process.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Expected commitment of approximately 35 hours per week.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.

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