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

micro1 AI

AI Trainer - Microbiology Expert

Thornton, CO · Remote

$70 - $90/hr

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.

micro1 AI

AI Trainer - Microbiology Expert

Boulder, CO · Remote

$70 - $90/hr

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.

Magnite

Senior Engineer

Broomfield, CO · On-site +1

$135K - $175K/yr

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 ...

Lynker Corporation

Senior Wetland Scientist

Boulder, CO · On-site +1

$90K - $120K/yr

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

Moore

Coordinator, Account Management

Westminster, CO · On-site +1

$20 - $26/hr

... remote role. SimioCloud, a Moore company, delivers advanced data, analytics, and machine learning solutions to help nonprofit organizations optimize fundraising and marketing performance. Our ...

Emerson

Global Demand Planning Leader

Boulder, CO · On-site +1

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 ...

Emerson

Global Demand Planning Leader

Boulder, CO · On-site +1

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 ...

Boulder Imaging Inc

Application Engineer

Louisville, CO · Remote

$70K - $85K/yr

... edge machine vision IdentiFlight technology. The primary responsibility to maintain a fleet of ... Specific actions will involve (remote) optical calibration, electrical diagnostics, network system ...

Lynker Corporation

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Exposure to machine learning or statistical modeling applied to environmental data. * Track record of scientific writing, publication, or open-source contribution. * Colorado Front Range presence for ...

Cisco

Software Engineering Technical Leader

Boulder, CO · On-site +1

$177K - $257K/yr

... machine-learning platform concepts. * 5+ years experience with modern software development practices, including testing, CI/CD, observability, reliability, and secure engineering. Preferred ...

Yes Energy

Director of Engineering

Boulder, CO · On-site +1

$175K - $200K/yr

... machine ever built. Yes Energy's industry-leading electric power trading analytics software ... Boston, MA; or remote * Full-Time * Hybrid or Remote * Reports to: Vice President, Engineering ...

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Showing results 21-40

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Longmont, CO

Remote Machine Learning information

See Longmont, CO salary details

$25.2K

$42.1K

$87K

How much do remote machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote machine learning in Longmont, CO is $42,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,500.00 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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What job categories do people searching Remote Machine Learning jobs in Longmont, CO look for? The top searched job categories for Remote Machine Learning jobs in Longmont, CO are:
What cities near Longmont, CO are hiring for Remote Machine Learning jobs? Cities near Longmont, CO with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Longmont, CO as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $42,096 per year, or $20.2 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Thornton, CO • Remote

$70 - $90/hr

Part-time

Posted 9 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.

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