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Remote Training Ai Models Jobs in Utah (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Saint George, UT · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

AI Training Specialist - Physics

Provo, UT · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

AI Training Specialist - Physics

West Jordan, UT · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

micro1 AI

AI Trainer (Computer Vision) - Remote

Provo, UT · Remote

$13 - $15/hr

Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Illinois ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

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Remote Training Ai Models information

What does it mean to work in remote training of AI models?

Working in remote training of AI models involves creating, refining, and improving artificial intelligence systems from a remote location. This typically includes tasks like labeling data, reviewing machine learning outputs, or providing feedback on model accuracy. Remote AI trainers often use specialized tools or platforms to help teach models how to interpret data, such as images, text, or audio. The work can be done from anywhere with an internet connection, making it flexible for many people. These roles are essential for ensuring AI systems learn correctly and perform well in real-world scenarios.

What are the key skills and qualifications needed to thrive as a remote AI model trainer?

To thrive as a Remote AI Model Trainer, you need strong analytical skills, attention to detail, and familiarity with data annotation or labeling, often supported by a background in computer science or a related field. Experience with data management tools, annotation platforms, and sometimes basic programming (such as Python) is typically required. Clear communication, reliability, and the ability to work independently are standout soft skills in this remote role. These abilities ensure high-quality data preparation, which is critical for developing accurate and effective AI models.

What are some common challenges faced when working remotely to train AI models, and how can they be overcome?

One of the main challenges in remote AI model training roles is maintaining clear communication with teams across different time zones and ensuring alignment on project goals. Additionally, remote data security and managing large datasets can be complex without in-person collaboration. To overcome these challenges, it's helpful to establish regular video check-ins, use project management tools, and follow secure data-sharing protocols. Cultivating proactive communication and staying organized can help remote AI trainers stay productive and connected with their teams.

What is the difference between Remote Training Ai Models vs Data Scientist?

AspectRemote Training Ai ModelsData Scientist
Required CredentialsKnowledge of AI/ML frameworks, programming skills, understanding of data preprocessingStatistics, programming, data analysis, often a degree in related fields
Work EnvironmentRemote, collaborative with AI/ML teams, cloud platformsRemote or on-site, research-focused, cross-industry
Industry UsageAI development, machine learning model training, deploymentData analysis, predictive modeling, business insights

Remote Training Ai Models primarily focus on developing and training machine learning models remotely, often requiring programming and AI-specific skills. Data Scientists analyze data to generate insights and build models, with a broader focus on data analysis. While both roles may work remotely and require technical expertise, Remote Training Ai Models are specialized in AI model training, whereas Data Scientists have a wider scope in data analysis and interpretation.

What cities in Utah are hiring for Remote Training Ai Models jobs?

Cities in Utah with the most Remote Training Ai Models job openings:

Remote Training Ai Models jobs near you

Product Development Chemist - AI Trainer - Remote

micro1 AI

West Valley City, UT • Remote

$70 - $90/hr

Part-time

Posted 20 days ago

Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. 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. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.

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