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Remote Machine Learning Jobs (NOW HIRING)

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

This is a part-time, fully remote opportunity requiring approximately 20 hours per week . Requirements Key Responsibilities * Design challenging, real-world machine learning and natural language ...

Calendly

Machine Learning Engineer

Well, we are looking for a Machine Learning Engineer who will deliver business value by executing ... Calendly uses the zip code of an employee's remote work location, or the onsite building location ...

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 ...

Zencastr

Senior Machine Learning Engineer (Remote)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to design and develop machine learning ... The easiest way to record your remote podcast interviews in studio quality Founded in 2014, the ...

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

... to remote, hybrid, or onsite candidates. Hiring Process - Target start dates are still being ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

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.

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 ...

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 ...

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 ...

BetterHelp

Machine Learning Engineer

OR · On-site +1

As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

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Remote Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do remote machine learning jobs pay per year?

As of Aug 30, 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.

More about Remote Machine Learning jobs

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:

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

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

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning & NLP Expert

Weekday AI

Remote

$80 - $110/hr

Part-time

Re-posted 2 days ago

Job description

This role is for one of our clients
Compensation: $80-$110 per hour
Join a cutting-edge AI research initiative and help shape the next generation of frontier AI models. We are seeking experienced Machine Learning & NLP Experts to contribute their technical expertise toward training and evaluating advanced AI systems. In this role, you will design challenging, real-world machine learning and natural language processing tasks, create high-quality reference solutions, and assess AI model performance to identify reasoning gaps and improve overall capabilities.
This is a part-time, fully remote opportunity requiring approximately 20 hours per week.
Requirements
Key Responsibilities
  • Design challenging, real-world machine learning and natural language processing tasks covering areas such as:
    • Machine Learning Model Development and Evaluation
    • Natural Language Understanding (NLU)
    • Natural Language Generation (NLG)
    • Information Retrieval and Search
    • Applied Machine Learning Pipelines
    • Transformer Models and Large Language Models (LLMs)

  • Develop accurate reference solutions and integrate tasks into agentic development environments using Python.
  • Build executable evaluation frameworks and testing components where appropriate.
  • Evaluate AI model outputs for technical correctness, reasoning quality, and overall performance.
  • Identify capability gaps, classify model failure modes, and provide detailed written analyses.
  • Create and refine evaluation guidelines, scoring rubrics, and quality standards for ML and NLP tasks.
  • Collaborate with fellow subject matter experts to ensure consistency, accuracy, and high-quality training data.

Required Qualifications
  • Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate/PhD-level work.
  • Strong proficiency in Python with practical experience developing ML or NLP applications.
  • Strong understanding of modern machine learning techniques, including:
    • Model Training and Evaluation
    • Transformer Architectures
    • Large Language Models (LLMs)
    • NLP Pipelines
    • Feature Engineering and Model Optimization

  • Experience with industry-standard frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent.
  • Ability to commit approximately 20 hours per week.
  • Excellent written communication skills and the ability to work independently in a remote environment.

Preferred Qualifications
  • Experience in AI model evaluation, AI training data creation, or human-in-the-loop model assessment.
  • Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embedding models, or multimodal AI systems.
  • Experience building benchmarking frameworks, automated evaluation pipelines, or testing infrastructure.
  • Contributions to open-source ML/NLP projects or published research are a plus.
  • Experience working with production-scale machine learning systems.

Role Details
  • Employment Type: Independent Contractor
  • Work Arrangement: Fully Remote
  • Schedule: Approximately 20 hours per week
  • Project Duration: Based on project requirements and performance, with opportunities for extension

Equal Opportunity
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract & Payment Terms
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects may be extended, shortened, or concluded early depending on business needs and performance.
  • Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are made weekly via Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.

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