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Entry Level Remote Ai Trainer Jobs in Utah (NOW HIRING)

micro1 AI

AI Training Specialist - Chemistry

Provo, UT · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... training datasets and reasoning capabilities of AI systems. Preferred Qualifications * Advanced ...

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 ...

micro1 AI

AI Training Expert - US Tax Law

West Jordan, UT · Remote

$65 - $70/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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Entry Level Remote Ai Trainer information

What is an entry level remote AI trainer?

An Entry Level Remote AI Trainer is a professional who helps improve artificial intelligence systems by providing feedback, labeling data, and evaluating AI outputs, often from a remote location. These roles typically require individuals to review content, assess the accuracy of AI-generated responses, or annotate data sets to help machine learning models learn and perform better. No advanced technical background is usually necessary, making it ideal for those starting their careers in AI or data-related fields. Training is often provided, and tasks can range from simple text analysis to more complex problem-solving depending on the employer.

What are the key skills and qualifications needed to thrive as an entry level remote AI trainer?

To thrive as an Entry Level Remote AI Trainer, you typically need strong written communication, critical thinking, and a basic understanding of technology, often supported by a bachelor's degree or equivalent experience. Familiarity with annotation platforms, collaboration tools, and sometimes foundational knowledge of AI concepts or data labeling systems is beneficial. Attention to detail, adaptability, and the ability to work independently are crucial soft skills for excelling in this role. These skills ensure high-quality data contributions, effective remote collaboration, and the reliable training of AI models.

What are some common challenges faced by entry level remote AI trainers, and how can they be addressed?

Entry Level Remote AI Trainers often encounter challenges such as understanding complex annotation guidelines, maintaining consistency in labeling, and managing communication across distributed teams. To address these issues, it's helpful to actively participate in training sessions, ask clarifying questions when guidelines are unclear, and leverage collaboration tools like Slack or project management platforms to stay connected with teammates and supervisors. Regular feedback sessions and quality checks also support continual improvement and help ensure high annotation accuracy.

What is the difference between Entry Level Remote Ai Trainer vs Data Annotator?

AspectEntry Level Remote Ai TrainerData Annotator
CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, collaborative with AI teamsRemote or on-site, focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Search & Comparison IntentOften compared for entry-level AI rolesRelated but more focused on data labeling tasks

While both roles are entry-level and often remote, Entry Level Remote Ai Trainers focus on training AI models by providing feedback and refining algorithms, whereas Data Annotators primarily label and prepare data for AI systems. Understanding these distinctions helps job seekers identify the right role based on their skills and career goals.

How much do entry-level AI trainers make?

Entry-level AI trainers typically earn between $30,000 and $50,000 annually, depending on the company, location, and required skills. These roles often involve tasks like data annotation, model testing, and using tools such as annotation platforms or machine learning frameworks.

How to get hired as an entry level remote AI trainer?

To get hired as an entry-level remote AI trainer, candidates should have strong communication skills, basic understanding of machine learning concepts, and experience with data annotation or labeling tools. Building a portfolio of relevant projects and applying through online job platforms can improve chances, while some roles may require familiarity with specific software or training datasets.

What are the most commonly searched types of Remote Ai Trainer jobs in Utah?

The most popular types of Remote Ai Trainer jobs in Utah are:

What are popular job titles related to Entry Level Remote Ai Trainer jobs in Utah?

For Entry Level Remote Ai Trainer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Ai Trainer jobs in Utah look for?

The top searched job categories for Entry Level Remote Ai Trainer jobs in Utah are:

What cities in Utah are hiring for Entry Level Remote Ai Trainer jobs?

Cities in Utah with the most Entry Level Remote Ai Trainer job openings:

Entry Level Remote Ai Trainer jobs near you
Infographic showing various Entry Level Remote Ai Trainer job openings in Utah as of August 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 100% Remote job distribution.

AI Training Specialist - Chemistry

micro1 AI

Provo, UT • Remote

$70 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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.

Apply