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Remote Prompt Engineering Jobs in Brandon, FL (NOW HIRING)

Conch Technologies Inc

AI ML Engineer

Lakeland, FL · Remote

Lakeland, FL, 33811 Remote Role * Local-First AI Expertise: Proven track record deploying and ... Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model ...

Epiq

Software Engineer

Tampa, FL · Remote

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 100,000 to 110,000 USD annually and may be ...

Epiq

AI Software Engineer

Tampa, FL · Remote

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 120,000 to 160,000 USD annually and may be ...

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

... prompt injection, PII leakage, or unsafe tool use on agents you own. * Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering. All Remote Hires will be ...

Kemper

Guidewire Developer-ClaimCenter

Tampa, FL · On-site +1

$51.50 - $68/hr

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... AI Prompt/Agentic Engineering * Monitoring and logging via tools like AppDynamics and Splunk

NinjaOne

Solutions Engineer, LATAM

Tampa, FL · On-site +1

Take initiative and provide prompt, accurate follow-up to tickets and support call * Troubleshoot ... Collaborate with Engineering, Product Management, and other internal departments to resolve ...

All JobsPrompt Engineering JobsRemote Prompt Engineering JobsRemote Prompt Engineering Jobs in Brandon, FL

Remote Prompt Engineering information

See Brandon, FL salary details

$15

$28

$41

How much do remote prompt engineering jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for remote prompt engineering in Brandon, FL is $28.72, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $33.22 per hour, depending on experience, location, and employer.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

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

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are popular job titles related to Remote Prompt Engineering jobs in Brandon, FL?

For Remote Prompt Engineering jobs in Brandon, FL, the most frequently searched job titles are:

What cities near Brandon, FL are hiring for Remote Prompt Engineering jobs?

Cities near Brandon, FL with the most Remote Prompt Engineering job openings:

Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in Brandon, FL as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 7% Contract, and 1% Nights. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $59,747 per year, or $28.7 per hour.

AI ML Engineer

Conch Technologies Inc

Lakeland, FL • Remote

Contractor

Re-posted 14 days ago

Job description

W2 Role only, No visa sponsorship at this time
 
Role: AI ML Engineer
Location : Lakeland, FL, 33811
Remote Role
Job Description:
* Local-First AI Expertise: Proven track record deploying and optimizing open-source LLMs (e.g., LLaMA, Mistral) in non-cloud, restricted, or air-gapped private infrastructures
* Deep Framework Proficiency: Heavy hands-on experience with PyTorch, Hugging Face, and orchestration layers like LangChain, LlamaIndex, or equivalent frameworks
* Vector  and  Retrieval Mastery: Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and local vector databases (e.g., FAISS, Qdrant, Milvus, Chroma)
* Containerization  and  Compute Infrastructure: Strong experience containerizing AI workloads via Docker/Kubernetes and managing dedicated GPU-based compute environments
* Advanced ML Concepts: Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model quantization formats (GGUF, AWQ, EXL2)
* Autonomy: Ability to build, test, and iterate rapidly in an isolated development sandbox with zero dependency on third-party cloud APIs
* Experience operating within heavily regulated or compliance-driven industries (e.g., high-governance data environments, fintech, or legal-tech)
* Familiarity with local-first agentic workflows, Model Context Protocol (MCP), or building fully internal developer copilots and autonomous knowledge systems
 
 
Thanks & Regards
Pavankumar Yalla
Sr. US IT Recruiter
Desk: 380-388-3661, EXT:819
Email: pavan.y@conchtech.com  
Web: www.conchtech.com