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Entry Level Remote Machine Learning Jobs in Donald, OR

micro1 AI

AI Trainer - Microbiology Expert

Beaverton, OR · 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

Portland, OR · 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

Hillsboro, OR · 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.

DataAnnotation

Programmer - AI Trainer

Portland, OR · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

Programmer - AI Trainer

Beaverton, OR · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Entry Level Remote Machine Learning information

See Donald, OR salary details

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How much do entry level remote machine learning jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level remote machine learning in Donald, OR is $18.33, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $19.95 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Remote Machine Learning vs Entry Level Remote Data Science?

AspectEntry Level Remote Machine LearningEntry Level Remote Data Science
Required CredentialsBachelor's in CS, Math, or related; familiarity with ML frameworksBachelor's in CS, Statistics, or related; knowledge of data analysis tools
Work EnvironmentRemote, collaborative teams, coding-focusedRemote, data analysis, reporting, and visualization tasks
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

Entry Level Remote Machine Learning roles focus on developing algorithms and models using programming skills, while Entry Level Remote Data Science positions emphasize analyzing data, creating reports, and deriving insights. Both roles often require similar educational backgrounds and are common in tech-driven industries, but they differ in daily tasks and focus areas.

How to get into entry level remote machine learning with no experience?

To enter an entry-level remote machine learning role with no experience, focus on building foundational skills in programming languages like Python, understanding basic algorithms, and gaining familiarity with machine learning frameworks such as scikit-learn or TensorFlow. Completing online courses, working on small projects, and contributing to open-source initiatives can demonstrate your abilities to employers and help you develop a portfolio for remote job applications.

What cities near Donald, OR are hiring for Entry Level Remote Machine Learning jobs?

Cities near Donald, OR with the most Entry Level Remote Machine Learning job openings:

Entry Level Remote Machine Learning jobs near you
Infographic showing various Entry Level Remote Machine Learning job openings in Donald, OR as of August 2026, with employment types broken down into 20% Internship, 40% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $38,127 per year, or $18.3 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Beaverton, OR • Remote

$70 - $90/hr

Part-time

Re-posted 8 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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