ZipRecruiter

Log In

1

Ai Writing Training Jobs in Florida (NOW HIRING)

next page

Showing results 1-20

All JobsAi Writing Training JobsAi Writing Training Jobs in Florida

Ai Writing Training information

What is AI writing training?

AI Writing Training involves teaching artificial intelligence models to understand and generate human-like text. This process includes feeding large datasets of written material to machine learning algorithms, allowing them to learn grammar, context, tone, and style. Professionals in this field curate training data, monitor AI outputs, and fine-tune models to improve accuracy and relevance. The goal is to create AI systems capable of producing coherent, contextually appropriate written content for various applications, such as chatbots, content creation, and virtual assistants.

What are the key skills and qualifications needed to thrive as an AI writing trainer, and why are they important?

To excel as an AI Writing Trainer, you need a strong background in linguistics, writing, content editing, and familiarity with AI or machine learning concepts, often supported by a degree in English, linguistics, computer science, or a related field. Experience with annotation tools, natural language processing (NLP) platforms, and data labeling systems is typically required. Attention to detail, critical thinking, and effective communication are essential soft skills for ensuring high-quality data and clear feedback. These skills are crucial for developing accurate, nuanced AI language models that meet user needs and ethical standards.

What are some common challenges faced when training AI writing models, and how can team members effectively address them?

A common challenge in AI writing training roles is ensuring the quality and diversity of training data, as biased or insufficient data can impact model performance. Collaboration with data engineers, subject matter experts, and fellow trainers is essential to curate representative datasets and develop robust evaluation metrics. Additionally, keeping up with rapidly evolving best practices and technologies in AI writing requires continuous learning and adaptability. Open communication within the team and proactive problem-solving are key to overcoming these challenges.

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

AspectAi Writing TrainingContent Writer
CredentialsOften requires knowledge of AI tools and writing techniquesTypically requires a degree in journalism, communications, or related fields
Work EnvironmentTraining sessions, workshops, online coursesOffice or remote writing assignments for clients or companies
Industry UsageUsed in tech, marketing, and education sectors to enhance writing skillsUsed across media, marketing, publishing, and corporate communications
Search & Comparison IntentFocuses on learning AI-assisted writing skillsFocuses on creating written content for various purposes

Ai Writing Training involves teaching individuals how to utilize AI tools to improve or automate writing tasks, often through courses or workshops. Content Writers produce written material for websites, marketing, or publications. While both roles involve writing, Ai Writing Training is centered on skill development with AI, whereas Content Writers focus on content creation for specific audiences.

What are popular job titles related to Ai Writing Training jobs in Florida?

For Ai Writing Training jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Ai Writing Training jobs in Florida look for?

The top searched job categories for Ai Writing Training jobs in Florida are:

What cities in Florida are hiring for Ai Writing Training jobs?

Cities in Florida with the most Ai Writing Training job openings:

Ai Writing Training jobs near you
Infographic showing various Ai Writing Training job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Tampa, FL • Remote

$80 - $110/hr

Part-time

Posted 20 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