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Remote Train Ai Jobs in Utah (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

micro1 AI

Digital Chemistry Specialist - Remote

Provo, UT · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

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Remote Train Ai information

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

To thrive as a Remote AI Trainer, you need a strong understanding of machine learning concepts, data annotation processes, and subject-matter expertise relevant to the AI system being trained, often supported by a degree in computer science or a related field. Familiarity with data labeling tools, annotation platforms, and collaboration software is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for ensuring high-quality data and clear feedback loops. These skills are vital to produce reliable, unbiased training data and facilitate the development of accurate AI models.

What is the difference between Remote Train Ai vs Data Annotator?

AspectRemote Train AiData Annotator
Required CredentialsBasic technical skills, training in AI data labelingNone or minimal; often on-the-job training
Work EnvironmentRemote, flexible hours, often part-time or freelancePrimarily remote, may vary by employer
Industry UsageAI development, machine learning projectsAI, computer vision, NLP projects
Common Search/ComparisonRemote Train AiData Annotator

Remote Train Ai and Data Annotator roles both involve labeling data for AI training, often remotely. Remote Train Ai may require some technical understanding and training, while Data Annotators typically need minimal credentials. Both roles are essential in AI development and are commonly found in similar work environments, making them frequently compared by job seekers.

What is a remote train AI?

A Remote Train AI job typically involves working from home or another remote location to help develop and improve artificial intelligence systems. This can include tasks such as labeling data, providing feedback on AI-generated outputs, or training machine learning models by reviewing and correcting the AI's responses. People in these roles play a crucial part in making AI models more accurate, reliable, and useful for various applications. The job may not require advanced technical skills, making it accessible to a wide range of candidates. Remote Train AI roles are often offered by tech companies or AI research organizations.

What are some common challenges faced when working remotely as a remote train AI, and how can they be addressed?

Working remotely as an AI Trainer often involves managing communication across different time zones and collaborating with team members from diverse backgrounds. Staying aligned on annotation guidelines and project objectives can be challenging without face-to-face interactions. To address these, it's important to leverage collaboration tools, participate in regular team meetings, and proactively seek clarification when needed. Maintaining organized documentation and establishing clear communication channels can also help ensure consistency and high-quality training data.

What are popular job titles related to Remote Train Ai jobs in Utah?

For Remote Train Ai jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Train Ai jobs in Utah look for?

The top searched job categories for Remote Train Ai jobs in Utah are:

What cities in Utah are hiring for Remote Train Ai jobs?

Cities in Utah with the most Remote Train Ai job openings:

Remote Train Ai jobs near you
Infographic showing various Remote Train Ai job openings in Utah as of August 2026, with employment types broken down into 16% Internship, 48% Full Time, and 36% Part Time. Highlights an 100% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

West Jordan, UT • Remote

$80 - $110/hr

Part-time

Posted 12 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply