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Freelance Ai Robotics Engineer Jobs in Florida (NOW HIRING)

TD SYNNEX

Physical AI Engineer

Clearwater, FL · On-site

This role is for a robotics engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through interaction, not ...

Synnex

Physical AI Engineer

Clearwater, FL · On-site +1

This role is for a robotics engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through interaction, not ...

Valley Bank

AI Engineer

Saint Petersburg, FL · On-site

Design, develop, and maintain automation solutions using RPA platforms (e.g., UiPath) and AI ... Working knowledge of macro creation, as well as programming and SQL languages. * Experienced usage ...

3B Staffing LLC

AI Automation Engineer

Orlando, FL · On-site

From robotic process automation (RPA) to workflow orchestration and generative AI, your work will ... Proficiency in one or more programming languages (e.g., Python, JavaScript, C#) and development ...

3B Staffing LLC

AI Automation Engineer

Orlando, FL · On-site

From robotic process automation (RPA) to workflow orchestration and generative AI, your work will ... Proficiency in one or more programming languages (e.g., Python, JavaScript, C#) and development ...

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

You will help achieve the vision in which every robot behavior we develop is prototyped, tested, and validated in simulation before it runs on hardware. As a simulation engineer at Persona, you will ...

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Freelance Ai Robotics Engineer information

What does a freelance AI robotics engineer do?

A Freelance AI Robotics Engineer designs, develops, and implements artificial intelligence solutions within robotic systems on a contract or project basis. Their work often involves programming robots to perform tasks autonomously, integrating machine learning algorithms, and troubleshooting robotic hardware and software. They may collaborate with clients across various industries, such as manufacturing, healthcare, or logistics, to create custom robotic solutions tailored to specific needs. Working freelance allows them flexibility in choosing projects and clients, as well as the opportunity to work remotely or on-site as required.

What are some common challenges freelance AI robotics engineers face when working with clients remotely?

As a Freelance AI Robotics Engineer, one common challenge is ensuring clear communication with clients, especially when discussing complex project requirements and technical constraints. Remote collaboration often requires detailed documentation, regular video meetings, and effective project management tools to keep all stakeholders aligned. Additionally, integrating AI algorithms with hardware components can be difficult without physical access to the client’s robotics platforms, so engineers must often rely on simulations or remote debugging. Successfully navigating these challenges helps build trust and leads to long-term client relationships.

What are the key skills and qualifications needed to thrive as a freelance AI robotics engineer, and why are they important?

To thrive as a Freelance AI Robotics Engineer, you need a strong background in robotics, machine learning, programming (Python/C++), and typically a degree in engineering or computer science. Experience with ROS (Robot Operating System), simulation tools like Gazebo, and AI frameworks such as TensorFlow or PyTorch is commonly required. Strong problem-solving, communication, and project management skills help you collaborate effectively with clients and deliver tailored solutions. These abilities are crucial for designing innovative, intelligent robotics systems that meet client needs in a dynamic, project-driven environment.

What are the most commonly searched types of Ai Robotics Engineer jobs in Florida?

The most popular types of Ai Robotics Engineer jobs in Florida are:

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For Freelance Ai Robotics Engineer jobs in Florida, the most frequently searched job titles are:

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Freelance Ai Robotics Engineer jobs near you

Physical AI Engineer

TD SYNNEX

Clearwater, FL • On-site

Full-time

Re-posted 9 days ago

TD SYNNEX rating

7.6

Company rating: 7.6 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

104th of 226 rated it services

Job description

Physical AI Engineer
Build the Future of Robotics with Physical AI
We are building real-world Physical AI systems where models interact with physical machines. This role is for a robotics engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through interaction, not just perception, by building the virtual environments, generating the data that trains our models, and developing the policies that eventually run on real hardware.
Day to day, you will design simulation environments, produce large volumes of labeled synthetic data, train and evaluate learned policies, and work with engineers across robotics, controls, and perception to close the sim-to-real gap. You will work hands-on with NVIDIA Omniverse, Isaac Sim, physics-based simulation, and foundation models. This is a builder role: fast iteration, scalable training, and direct transfer from simulation to physical robots.
What You'll Do
  • Build and maintain high-fidelity, physics-accurate simulation environments in NVIDIA Omniverse and Isaac Sim for training, testing, and validating robotic systems.
  • Generate synthetic datasets at scale, including sensor and camera simulation, domain randomization, procedural scene variation, and automated annotation such as segmentation, depth, bounding boxes, and pose. You own dataset quality, versioning, and delivery.
  • Design and run reinforcement learning and imitation learning pipelines using simulation-generated and synthetic data.
  • Train and tune policies for control, planning, navigation, and manipulation, with emphasis on robustness and sim-to-real performance.
  • Define task curricula, reward functions, and evaluation benchmarks so policy performance is measured before it reaches hardware.
  • Model sensors, actuators, and contact behavior, and debug simulation instability, non-physical behavior, and determinism issues.
  • Drive simulation-to-real transfer through domain randomization, system identification, and validation on physical systems.
  • Build reusable tooling, APIs, and documentation so the broader team can stand up new environments and tasks without deep simulation expertise.
  • Integrate foundation models to support reasoning, task decomposition, and human-in-the-loop learning.
Requirements
  • 5+ years in robotics, reinforcement learning, simulation, or applied machine learning. Degree in Robotics, Computer Science, or a related field, or equivalent hands-on experience.
  • Hands-on experience training robotic agents in simulation, on physical systems, or both.
  • Strong background in reinforcement learning, imitation learning, or learning-based control, including domain randomization and curriculum learning.
  • Proven experience building simulation environments in NVIDIA Omniverse, Isaac Sim, or Isaac Lab, or comparable GPU-accelerated simulation platforms.
  • Direct experience generating synthetic data for model training, including sensor simulation, annotation pipelines, and large-scale dataset generation.
  • Working knowledge of OpenUSD as a robotics engineer, including asset conversion into a simulation pipeline from formats such as URDF or MJCF.
  • Production experience with at least one RL library: RSL-RL, RL-Games, skrl, or Stable-Baselines3.
  • Strong Python and the deep learning stack, such as PyTorch or JAX, with the ability to build and scale training pipelines beyond a single workstation.
  • Experience applying or integrating foundation models into robotics or decision-making workflows.
  • Builder mindset with a track record of moving learning systems from experiment to deployment.
Nice to Have
  • PhysX schemas and physics tuning.
  • MuJoCo Playground, NVIDIA Warp, or Newton.
  • Omniverse Replicator or comparable synthetic data generation frameworks.
  • World foundation models used for data augmentation and photoreal domain transfer.
  • Vision language action models or multimodal policies.
  • ROS 2 or comparable robotics middleware, real-time systems, or physics engines.
  • Model-free or model-based RL at scale, including distributed or cloud-scale training orchestration.
  • Training perception models such as detection, segmentation, or pose estimation on synthetic data.
  • C++ alongside Python for real-time robotics systems.
  • Experience operationalizing learned policies on physical robots in production environments.
Work Environment
  • Remote or hybrid, US-based, with periodic time onsite at our robotics facility.
  • Occasional domestic and global travel.
  • Flexible working hours aligned to experimentation and training cycles.

--- This description is optimized to attract senior, hands-on AI robotics engineers with strong reinforcement learning and simulation expertise.
At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.
What's In It For You?
  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
  • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
  • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don't meet every single requirement? Apply anyway.
At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!
We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.
TD SYNNEX is an E-Verify company

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