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Remote Ai Training Writer 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 ... Collaborate and communicate effectively in written and verbal formats with project stakeholders ...

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 ... Exceptional written communication skills with the ability to convey nuanced, constructive feedback ...

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Remote Ai Training Writer information

What is a remote AI training writer?

A Remote AI Training Writer is a professional who creates, reviews, and edits text data to help train artificial intelligence models. Working from a remote location, they generate prompts, responses, or content that improves AI accuracy and reliability in understanding language. Their tasks often include writing sample dialogues, annotating data, or evaluating AI-generated text for quality and relevance. This role is crucial for developing AI applications in areas like chatbots, virtual assistants, or language processing tools.

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

To thrive as a Remote AI Training Writer, you need strong writing, editing, and research skills, often supported by a background in English, communications, or a related field. Familiarity with content management systems, annotation tools, and basic understanding of machine learning concepts are typically required. Attention to detail, adaptability, and excellent communication are standout soft skills for this position. These skills ensure the creation of high-quality, accurate training data that directly impacts the effectiveness of AI models.

How does a remote AI training writer typically collaborate with machine learning engineers and data scientists?

As a Remote AI Training Writer, you'll regularly work with machine learning engineers and data scientists to develop high-quality datasets for AI models. This collaboration involves clarifying project requirements, understanding annotation guidelines, and providing feedback on data clarity and consistency. Regular communication, often via digital platforms, ensures your writing aligns with technical needs and helps refine the training process. You'll also participate in review cycles and contribute to improving the accuracy and relevance of AI-generated outputs.

What is the difference between Remote Ai Training Writer vs Content Writer?

AspectRemote Ai Training WriterContent Writer
Required CredentialsWriting skills, basic understanding of AI and machine learningStrong writing skills, knowledge of SEO and various topics
Work EnvironmentRemote, often collaborative with AI teamsRemote or on-site, diverse industries
Employer & Industry UsageTech companies, AI startups, research firmsMedia, marketing agencies, online publications

Remote Ai Training Writers focus on creating data and content to train AI models, requiring some technical understanding of AI concepts. Content Writers produce a wide range of written content for various industries, emphasizing creativity and SEO. While both roles involve writing, their focus, technical requirements, and industry applications differ significantly.

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

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Remote Ai Training Writer jobs near you
Infographic showing various Remote Ai Training Writer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Provo, UT • Remote

$80 - $110/hr

Part-time

Posted 18 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.

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