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Remote Ai Trainer Part Time 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 ...

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Remote Ai Trainer Part Time information

What is a remote AI trainer part time?

Remote AI Trainers (Part Time) are individuals who work from home to help improve artificial intelligence systems. Their main responsibilities include labeling data, reviewing AI-generated content, and providing feedback to enhance the accuracy and performance of AI models. These positions are typically flexible, allowing trainers to set their own hours, and often require good communication skills, attention to detail, and basic technical proficiency. AI trainers may work with text, images, audio, or other types of data, depending on the specific project requirements.

What are some common challenges faced by part-time remote AI trainers, and how can they be addressed?

Part-time remote AI Trainers often face challenges such as managing time effectively across multiple projects, maintaining clear communication with development teams, and staying updated on AI advancements. Working remotely can sometimes lead to feelings of isolation, so it's important to proactively engage in team meetings and use collaboration tools. To overcome these challenges, setting structured work hours, participating in online forums, and seeking regular feedback can help ensure productivity and professional growth.

What is the difference between Remote Ai Trainer Part Time vs Remote Data Annotator Part Time?

AspectRemote Ai Trainer Part TimeRemote Data Annotator Part Time
Required CredentialsBasic understanding of AI, training data, and sometimes certifications in data labelingAttention to detail, familiarity with annotation tools, no formal certifications typically needed
Work EnvironmentRemote, flexible hours, often involves training AI models with labeled dataRemote, flexible hours, focuses on labeling and annotating data for machine learning
Employer & Industry UsageTech companies, AI startups, machine learning firmsTech companies, data labeling services, AI development firms

Both roles are remote, part-time positions in the AI industry, but Remote Ai Trainers focus on training AI models through data preparation, while Remote Data Annotators primarily label data to support AI training. The roles share similar environments and industry usage but differ in specific responsibilities and skill requirements.

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

To thrive as a Remote AI Trainer (Part Time), you need strong analytical thinking, attention to detail, and excellent written communication, often supported by a relevant degree or demonstrated expertise in language or data annotation. Familiarity with collaboration platforms, annotation tools, and basic understanding of AI or machine learning concepts is typically required. Adaptability, self-motivation, and the ability to work independently are standout soft skills in this remote role. These capabilities ensure accurate data labeling, effective feedback, and productive team contributions, which are crucial for training high-quality AI systems.

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 Remote Ai Trainer Part Time jobs in Utah?

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

What job categories do people searching Remote Ai Trainer Part Time jobs in Utah look for?

The top searched job categories for Remote Ai Trainer Part Time jobs in Utah are:

Remote Ai Trainer Part Time jobs near you
Infographic showing various Remote Ai Trainer Part Time job openings in Utah as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Provo, UT • Remote

$80 - $110/hr

Part-time

Posted 13 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