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Remote Validation Engineer Jobs in Florida (NOW HIRING)

Versant Media

Sr. Software Engineer

Orlando, FL · Remote

$114K - $150K/yr

Partner with quality and test engineers to automate validation and ensure accurate, efficient ... Fully Remote: This position has been designated as fully remote, meaning that the position is ...

Deepwatch

Senior Manager Threat Detection & Research Hybrid Tampa, FL Or Remote While proximity to Tampa is ... Detection Effectiveness (Tuning, Validation, etc.) * Detection Creation * Onboard assigned ...

Codelitt

Devops Automation Engineer

Miami, FL · On-site +1

$50.50 - $69/hr

This is a remote position where you can work from Anywhere in LATAM. About the Role! We're looking ... Able to reason through environment provisioning, deployment validation, post-deployment checks ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

... data validation pipelines, orchestration of large-scale experiments, and deployment of high ... This is a fully remote position, working cross-functionally with research and engineering teams.

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66K - $89K/yr

... data validation pipelines, orchestration of large-scale experiments, and deployment of high ... This is a fully remote position, working cross-functionally with research and engineering teams.

ARC Group

Cybersecurity Engineer

Jacksonville, FL · Remote

CYBERSECURITY ENGINEER - REMOTE ARC Group has an immediate opportunity for a Cybersecurity Engineer ... Research, evaluate, validate, and recommend technical security solutions; assist with build, test ...

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Remote Validation Engineer information

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$16

$38

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How much do remote validation engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote validation engineer in Florida is $38.86, according to ZipRecruiter salary data. Most workers in this role earn between $29.47 and $47.26 per hour, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of a Remote Validation Engineer?

Remote Validation Engineers are responsible for developing and executing test plans, analyzing results, and documenting findings to ensure products meet required standards and specifications. They often collaborate virtually with design, development, and quality teams to identify issues and recommend improvements. Daily tasks may include running automated tests, preparing validation reports, participating in team meetings, and troubleshooting system behaviors. Adapting to shifting project requirements and effectively communicating in a remote setting are also integral parts of the role.

What are the key skills and qualifications needed to thrive in the Remote Validation Engineer position, and why are they important?

To thrive as a Remote Validation Engineer, you need a strong background in engineering or computer science, expertise in validation protocols, and experience with testing methodologies. Familiarity with validation tools such as simulation software, automated test platforms, and knowledge of industry compliance standards (e.g., ISO, FDA, or automotive standards) is typically required, and certifications like ISTQB can be beneficial. Excellent problem-solving skills, attention to detail, and strong written and verbal communication are important for collaborating across distributed teams. These skills ensure the effectiveness and reliability of complex products or systems while supporting seamless teamwork in a remote work environment.

What is a Remote Validation Engineer job?

A Remote Validation Engineer is responsible for testing and verifying that products, systems, or software meet required specifications and function correctly. They develop test plans, run simulations, analyze data, and document results—all while working remotely. This role is common in industries like automotive, semiconductor, and software development, ensuring quality and compliance with standards. Strong technical skills, attention to detail, and proficiency with validation tools are essential.

What are the most commonly searched types of Validation Engineer jobs in Florida? The most popular types of Validation Engineer jobs in Florida are:
What are popular job titles related to Remote Validation Engineer jobs in Florida? For Remote Validation Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Validation Engineer jobs in Florida look for? The top searched job categories for Remote Validation Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Validation Engineer jobs? Cities in Florida with the most Remote Validation Engineer job openings:
Remote Validation Engineer jobs near you
Infographic showing various Remote Validation Engineer job openings in Florida as of June 2026, with employment types broken down into 71% Full Time, 16% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,821 per year, or $38.9 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Miami, FL • Remote

Other

Posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply