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Remote Machine Learning Jobs in Loveland, CO (NOW HIRING)

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Cloud Native Geospatial Scientist

Boulder, CO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analysis: apply remote sensing and, where appropriate, machine learning to environmental and land-cover mapping. * Usable outputs: make outputs that are clear and usable for scientists, partners, and ...

Cloud Native Geospatial Scientist

Boulder, CO · On-site +1

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analysis: apply remote sensing and, where appropriate, machine learning to environmental and land-cover mapping. * Usable outputs: make outputs that are clear and usable for scientists, partners, and ...

Senior Engineer

Broomfield, CO · On-site +1

$135K - $175K/yr

  • Medical

  • Life

  • Retirement

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

Senior Wetlands Scientist

Boulder, CO · On-site +1

$94K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience applying machine learning to land-cover or wetland classification. * Familiarity with national wetland, hydrography, soils, and elevation datasets, and with remote-sensing inputs.

Senior Wetlands Scientist

Boulder, CO · On-site +1

$90K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience applying machine learning to land-cover or wetland classification. * Familiarity with national wetland, hydrography, soils, and elevation datasets, and with remote-sensing inputs.

Global Demand Planning Leader

Boulder, CO · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Actively identify and champion opportunities to apply AI, machine learning, and advanced ... This role has the flexibility of a remote work option up to one day a week after training is ...

Global Demand Planning Leader

Boulder, CO · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Actively identify and champion opportunities to apply AI, machine learning, and advanced ... This role has the flexibility of a remote work option up to one day a week after training is ...

Senior Software Engineer

Boulder, CO · On-site +1

$127K - $167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position anywhere in the USA. Meet the Team Our software engineering team develops ... Familiarity with LLMs, AI agents, embeddings, or other- machine-learning capabilities and their ...

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Showing results 1-20

Remote Machine Learning information

See Loveland, CO salary details

$26.2K

$43.8K

$90.5K

How much do remote machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote machine learning in Loveland, CO is $43,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,400.00 and $47,300.00 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 are popular job titles related to Remote Machine Learning jobs in Loveland, CO?

For Remote Machine Learning jobs in Loveland, CO, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Loveland, CO look for?

The top searched job categories for Remote Machine Learning jobs in Loveland, CO are:

What cities near Loveland, CO are hiring for Remote Machine Learning jobs?

Cities near Loveland, CO with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in Loveland, CO as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $43,770 per year, or $21 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Boulder, CO • Remote

$70 - $90/hr

Part-time

Posted 21 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.