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Remote Ai Math Training Jobs in Utah (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Provo, UT · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

micro1 AI

Tax (SALT) AI Training Specialist

Provo, UT · Remote

$20 - $30/hr

Remote Job Summary: You'll use your tax expertise to help train next-generation AI systems. The ... Background in training teams or giving written feedback on legal/tax language. * Interest in the ...

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Remote Ai Math Training information

What is the difference between Remote Ai Math Training vs Remote Math Tutor?

AspectRemote Ai Math TrainingRemote Math Tutor
CredentialsTypically requires knowledge of AI, machine learning, and mathUsually requires teaching credentials or math expertise
Work EnvironmentOnline, often involving AI platforms and toolsOnline or in-person, focusing on individual or group tutoring
Employer & IndustryEdTech companies, AI training platformsEducational institutions, private tutoring services
Search & Comparison IntentUnderstanding AI-focused math training rolesFinding traditional math tutoring opportunities

Remote Ai Math Training involves teaching math concepts integrated with AI tools and requires knowledge of AI and machine learning. In contrast, Remote Math Tutors focus on traditional math instruction, often requiring teaching credentials. Both roles are primarily online and serve educational purposes, but they differ in technical complexity and industry focus.

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Remote Ai Math Training jobs near you

AI Training Specialist - Life Sciences

micro1 AI

West Valley City, UT • Remote

$90 - $120/hr

Part-time

Posted 24 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply