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Remote Machine Learning Trainer Jobs in Utah (NOW HIRING)

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.

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Partner with machine learning engineers to move successful experiments into production. * Develop ... Experience creating synthetic training data or model-generated datasets. * Experience building LLM ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Partner with machine learning engineers to move successful experiments into production. * Develop ... Experience creating synthetic training data or model-generated datasets. * Experience building LLM ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

... Training and mentoring to junior Data Scientists. Lead projects as needed or required - (10%) ... Advanced machine learning modeling and/or technical expertise in developing market differentiation ...

Showing results 21-40

Remote Machine Learning Trainer information

Can I work remotely as a remote machine learning trainer?

Yes, remote machine learning trainers can work from anywhere with a stable internet connection, as the role primarily involves online instruction, content creation, and virtual coaching. Many employers and training platforms offer remote positions that may require familiarity with tools like video conferencing software and machine learning frameworks. Flexibility in schedule and self-motivation are often important for success in remote training roles.

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What cities in Utah are hiring for Remote Machine Learning Trainer jobs?

Cities in Utah with the most Remote Machine Learning Trainer job openings:

AI Trainer - Microbiology Expert

West Jordan, UT • Remote

micro1 AI
Software Development • 11 - 50 employees

$70 - $90/hr

Part-time

Re-posted 18 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.