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Generative Ai Writer Jobs in Florida (NOW HIRING)

Relativity

Software Engineer

Jacksonville, FL · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

Incubator Lab

Video Editor

Miami, FL · On-site +1

$1.5K - $5.0K/mo

VIDEO EDITOR (PAID MEDIA & GENERATIVE AI) at IncubatorLab Remote - Worldwide IncubatorLab is ... Proven ability to write precise prompts to build both hyper-realistic visual assets and engaging ...

Incubator Lab

Video Editor

Miami, FL · On-site +1

$1.5K - $5.0K/wk

VIDEO EDITOR (PAID MEDIA & GENERATIVE AI) at IncubatorLab Remote - Worldwide IncubatorLab is ... Proven ability to write precise prompts to build both hyper-realistic visual assets and engaging ...

LexisNexis

Senior Data Scientist II

Boca Raton, FL · On-site

Do you enjoy combining software engineering, analytics, machine learning, and Generative AI to ... Write high-quality, maintainable code following software engineering best practices including ...

LexisNexis

Senior Data Scientist II

Boca Raton, FL · On-site

Do you enjoy combining software engineering, analytics, machine learning, and Generative AI to ... Write high-quality, maintainable code following software engineering best practices including ...

Hilton Grand Vacations, Inc.

Lead AI Engineer

Orlando, FL · On-site

$95K - $126K/yr

Proven experience with NLP and/or generative AI technologies (e.g. OpenAI / Azure OpenAI) applied ... Proficiency in English, verbal and written. It would be advantageous in this position for you to ...

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Generative Ai Writer information

What is a generative AI writer?

A Generative AI Writer creates content using artificial intelligence tools, such as language models, to generate text for various purposes, including articles, marketing copy, scripts, and more. They refine AI-generated content for accuracy, coherence, and tone, ensuring it meets project requirements. This role often involves prompt engineering, editing, and optimizing AI outputs to enhance readability and engagement. Generative AI Writers work across industries such as media, advertising, and technology to streamline content production.

What are the typical daily responsibilities of a generative AI writer?

As a Generative AI Writer, your day-to-day tasks often include designing and refining prompts for AI models, editing and fact-checking AI-generated text, and collaborating with subject matter experts to ensure technical accuracy and relevance. You may also conduct research to guide content strategy and analyze output data to improve tone, style, and cohesion. This role requires regular communication with product managers, engineers, and editors to align content with business goals and user needs. The work is dynamic and fast-paced, offering the opportunity to shape new applications of AI in content creation while developing expertise in a rapidly evolving field.

What are the key skills and qualifications needed to thrive in the generative AI writer position, and why are they important?

To thrive as a Generative AI Writer, you need strong writing skills, a solid understanding of AI-generated content processes, and familiarity with natural language processing concepts. Proficiency with AI writing tools, prompt engineering platforms, and sometimes coding languages like Python is often required, and certification in content creation or marketing can be beneficial. Creativity, adaptability, and strong communication skills help distinguish top performers in this role. These capabilities are essential for producing high-quality, contextually accurate AI-driven content and collaborating effectively with both technical and non-technical teams.

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The top searched job categories for Generative Ai Writer jobs in Florida are:

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Generative Ai Writer jobs near you
Infographic showing various Generative Ai Writer job openings in Florida as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Software Engineer

Relativity

Jacksonville, FL • On-site

Other

Medical, Retirement

Re-posted 17 days ago

Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting

Apply