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Intern Remote Ai Prompt Engineer Jobs in Boca Raton, FL

Varsity Tutors

Claude Tutor

Cooper City, FL · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context processing, analytical reasoning, code generation, document analysis, creative writing assistance, and ...

Varsity Tutors

Claude Tutor

Sunrise, FL · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context processing, analytical reasoning, code generation, document analysis, creative writing assistance, and ...

Varsity Tutors

Claude Tutor

Miramar, FL · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context processing, analytical reasoning, code generation, document analysis, creative writing assistance, and ...

Varsity Tutors

Claude Tutor

Fort Lauderdale, FL · Remote

$18 - $40/hr

Deep knowledge of Claude AI capabilities including advanced prompt engineering, long-context processing, analytical reasoning, code generation, document analysis, creative writing assistance, and ...

TEKsystems

Forward Deployment Engineer

Sunrise, FL · Remote

$70 - $75/hr

Looking for a Forward Deployment Engineer specializing in devops and AI agent experience. This is a ... days remote Must be a US C itizen Must be able to work W2 since they are looking to most likely ...

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All JobsIntern Ai Prompt Engineer JobsIntern Remote Ai Prompt Engineer JobsIntern Remote Ai Prompt Engineer Jobs in Boca Raton, FL

Intern Remote Ai Prompt Engineer information

See Boca Raton, FL salary details

$12

$24

$36

How much do intern remote ai prompt engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern remote ai prompt engineer in Boca Raton, FL is $24.12, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.36 per hour, depending on experience, location, and employer.

What does a remote AI prompt engineer intern do?

A Remote AI Prompt Engineer Intern works on designing, testing, and refining prompts for artificial intelligence models, particularly those used in natural language processing. Their main responsibility is to craft effective prompts that optimize AI responses for accuracy and relevance. They may also analyze AI outputs, collaborate with teams to improve model performance, and document best practices. Since the role is remote, communication and self-management skills are essential. This internship provides valuable experience in AI development and prompt engineering.

What types of projects and responsibilities can I expect as a remote AI prompt engineer intern?

As a remote AI Prompt Engineer intern, you can expect to work on tasks such as designing, testing, and refining prompts for large language models to improve their accuracy and relevance. You'll likely collaborate with data scientists, software engineers, and other team members to analyze AI model outputs and iterate on prompt strategies. Typical responsibilities may also include documenting best practices, participating in team meetings, and contributing to ongoing research or product development. This role offers a hands-on learning experience in AI development while working in a supportive, remote environment.

What are the key skills and qualifications needed to thrive as a remote AI prompt engineer intern?

To thrive as an Intern Remote AI Prompt Engineer, you need a solid understanding of natural language processing concepts, critical thinking skills, and preferably some background in computer science or linguistics. Familiarity with AI platforms like OpenAI, prompt engineering tools, and collaborative work systems (such as GitHub or Slack) is commonly expected. Strong written communication, creativity, and adaptability are valuable soft skills for crafting effective prompts and collaborating with distributed teams. These skills are crucial for generating high-quality AI outputs and ensuring productive teamwork in a remote environment.

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

AspectIntern Remote Ai Prompt EngineerIntern Remote Data Annotator
Required CredentialsBasic understanding of AI, programming, or related courseworkAttention to detail, basic computer skills
Work EnvironmentRemote, collaborative with AI teamsRemote, often independent annotation tasks
Industry UsageAI development, NLP projectsData labeling for machine learning
Search & Comparison IntentUnderstanding AI prompt roles, entry-level AI jobsData annotation roles, entry-level data jobs

The Intern Remote Ai Prompt Engineer focuses on creating and refining prompts for AI models, requiring some technical knowledge. In contrast, the Intern Remote Data Annotator primarily labels data to train AI systems, emphasizing accuracy and attention to detail. Both roles are remote and entry-level, but they serve different functions within AI development teams.

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Intern Remote Ai Prompt Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Sunrise, FL • Remote

$80 - $110/hr

Part-time

Posted 17 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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