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Part Time Remote Ai Prompt Engineer Jobs in Florida

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Part Time Remote Ai Prompt Engineer information

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

AspectPart Time Remote Ai Prompt EngineerPart Time Remote Data Annotator
Required CredentialsBasic understanding of AI, NLP, and prompt engineeringAttention to detail, basic technical skills
Work EnvironmentRemote, flexible hours, focused on AI and NLP projectsRemote, flexible hours, focused on data labeling tasks
Employer & Industry UsageTech companies, AI startups, research labsData companies, AI training firms, machine learning teams
Search & Comparison IntentUnderstanding AI prompt roles, job differencesClarifying data annotation roles, job scope

The Part Time Remote Ai Prompt Engineer focuses on designing and refining prompts for AI models, requiring knowledge of NLP and AI concepts. In contrast, the Part Time Remote Data Annotator primarily labels data to train AI systems, emphasizing attention to detail. Both roles are remote and part-time, but they serve different functions within AI development teams.

What are the most commonly searched types of Remote Ai Prompt Engineer jobs in Florida? The most popular types of Remote Ai Prompt Engineer jobs in Florida are:
What are popular job titles related to Part Time Remote Ai Prompt Engineer jobs in Florida? For Part Time Remote Ai Prompt Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Ai Prompt Engineer jobs in Florida look for? The top searched job categories for Part Time Remote Ai Prompt Engineer jobs in Florida are:
Infographic showing various Part Time Remote Ai Prompt Engineer job openings in Florida as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Coral Springs, FL • Remote

$90 - $120/hr

Part-time

Posted 12 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.