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Robotics Analyst Jobs in Florida (NOW HIRING)

PCS Wireless

Business Analyst

Miami Lakes, FL · On-site

If you get excited about automation, robotics, and using technology to reimagine how a warehouse runs, this role was built for you. As a Business Systems Analyst on our Supply Chain Operations team ...

imgacademy

Faculty, Robotics

Bradenton, FL · On-site

Job Title: Robotics Teacher Department: Academics Position Summary: The Robotics Teacher is ... Develop, administer, and analyze assessments to monitor student progress, inform instruction, and ...

Serve Robotics

Partnership Manager

Miami, FL · On-site

$100K - $115K/yr

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is ... Analyze performance data and independently drive improvements in key metrics such as order volume ...

Autonomi Robotics

Compliance Officer

Orlando, FL · On-site +1

Deploying autonomous robots into hospitals means operating in one of the most regulated ... hazard analyses, and safety case documentation * Own our SOC 2 programme - maintaining ...

JLL

Mechatronics & Robotics Apprenticeship

Miami, FL

Learnsto perform work with robotic systems and work with Robotics Engineers and OEMs in a real ... Understands and analyses the technical specifications of mechatronic systems, subsystems, modules ...

Autonomi Robotics

Compliance Officer

Orlando, FL · On-site

$75 - $95/hr

Deploying autonomous robots into hospitals means operating in one of the most regulated ... hazard analyses, and safety case documentation * Own our SOC 2 programme -- maintaining ...

Serve Robotics

Operations Coordinator

Miami, FL · On-site

$23 - $25/hr

Ability to analyze data and report on operations through Google Workspace (Docs, Sheets, Drive) * Strong passion for efficiency, innovation, and robotics Additional Information * This role is onsite ...

Serve Robotics

Operations Coordinator

Miami, FL · On-site

Ability to analyze data and report on operations through Google Workspace (Docs, Sheets, Drive) * Strong passion for efficiency, innovation, and robotics Additional Information * This role is onsite ...

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All JobsRobotics Analyst JobsRobotics Analyst Jobs in Florida

Robotics Analyst information

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How much do robotics analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for robotics analyst in Florida is $22.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $26.92 per hour, depending on experience, location, and employer.

What is a robotics analyst?

Robotics Analysts are professionals who study, evaluate, and optimize robotics systems and technologies. They analyze data from robotic operations, provide insights to improve efficiency, and help design solutions for integrating robotics into various industries. Their role often involves troubleshooting, system performance monitoring, and recommending upgrades or new technologies. Robotics Analysts frequently collaborate with engineers, programmers, and project managers to ensure robotics systems meet organizational goals.

What are the key skills and qualifications needed to thrive as a robotics analyst?

To thrive as a Robotics Analyst, you need strong analytical skills, programming proficiency (often in Python, C++, or ROS), and a background in robotics, engineering, or computer science. Familiarity with robotics simulation tools (like Gazebo or MATLAB), data analysis platforms, and certifications in robotics or automation technologies are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for optimizing robotic systems, ensuring efficient automation processes, and driving innovation in robotics applications.

What are some common challenges faced by robotics analysts when integrating new robotic systems into existing workflows?

Robotics Analysts often encounter challenges such as ensuring compatibility between new robotic systems and legacy equipment, managing data integration, and minimizing workflow disruptions during implementation. They must also address staff training needs and troubleshoot unexpected technical issues that arise during deployment. Proactive communication with cross-functional teams and thorough testing are key strategies for overcoming these challenges and ensuring a smooth integration process.

What is the difference between Robotics Analyst vs Robotics Engineer?

AspectRobotics AnalystRobotics Engineer
Required CredentialsBachelor's in Robotics, Engineering, or related field; certifications in robotics or automationBachelor's or Master's in Robotics, Mechanical, Electrical Engineering; certifications in robotics design and programming
Work EnvironmentData analysis, system evaluation, troubleshooting in labs or office settingsDesign, develop, and test robotic systems in labs or manufacturing facilities
Employer & Industry UsageTech companies, manufacturing, research institutionsManufacturing, automation, aerospace, research and development

Robotics Analysts focus on evaluating robotic systems, analyzing data, and optimizing automation processes. Robotics Engineers are involved in designing, building, and testing robotic systems. While both roles require technical skills and certifications, Analysts primarily work on system evaluation, whereas Engineers develop new robotic solutions.

What are popular job titles related to Robotics Analyst jobs in Florida?

For Robotics Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Robotics Analyst jobs in Florida look for?

The top searched job categories for Robotics Analyst jobs in Florida are:

What cities in Florida are hiring for Robotics Analyst jobs?

Cities in Florida with the most Robotics Analyst job openings:

Robotics Analyst jobs near you
Infographic showing various Robotics Analyst job openings in Florida as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $47,219 per year, or $22.7 per hour.

Robotics Data Pipeline Engineer - Multimodal Data

Persona AI

Pensacola, FL • On-site

$108K - $130K/yr

Full-time

Medical, PTO

Re-posted 9 days ago

Job description

Job Title: Robotics Data Pipeline Engineer - Multimodal Data
Department: Software
Reports To: Teleoperations Lead
Employment Type: Full-Time
Location: Houston, TX or Pensacola Fl
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world's leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
Why Join Persona AI?
  • We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value creativity, and continuous learning.
  • Enjoy full access to advanced tools,

About the Role
As a Data Pipeline Engineer, you will architect and scale the data infrastructure that feeds our foundation models. Your primary mission is to extract, augment, and align human dexterous manipulation data from massive complex, multi-sensor and egocentric video datasets. Crucially, you will build advanced post-processing algorithms to perform deep force analysis and infer hidden states from raw data-such as processing direct force-torque outputs to quantify grasp dynamics, estimating contact forces from visual cues, extrapolating heavily occluded hand positions, or deriving 3D geometry from 2D frames. You will use spatial, temporal, and cross-modal data augmentation to multiply the value of every minute of data our teleoperation team collects.
What You Will Be Doing
  • Multimodal Data Pipelines: Architect end-to-end ingestion pipelines that take raw, unstructured recordings-egocentric video, teleoperation sessions, third-party open datasets-and produce indexed, queryable, training-ready datasets. This includes temporal segmentation of long recordings into action clips, metadata and scene-graph extraction, embedding-based retrieval, and language annotation workflows.
  • Force Analysis & Hidden State Inference: Design cross-modal validation systems that verify video, proprioception, force/haptic signals, and language annotations agree with each other-e.g., reprojecting robot state into the image plane to confirm video-state consistency, and VLM-assisted checks that instructions match observed behavior.
  • Kinematic Retargeting & Alignment: orchestrating hand-tracking, segmentation, depth estimation, 3D reconstruction, and pose-tracking modules; retargeting human demonstrations into robot trajectories; and running simulation-in-the-loop validation (kinematic feasibility, physics replay, motion-consistency filtering) so synthesized data is physically grounded, not just visually plausible.
  • Advanced Data Augmentation: Implement robust data augmentation strategies (spatial transformations, temporal scaling, synthetic viewpoints, and sensor noise injection) to expand expert trajectories and improve the robustness of our learning models.
  • Teleoperation Synchronization: unified state-action representations across differing embodiments, coordinate frames, rotation conventions, gripper/hand parameterizations, and sampling rates-with per-dimension validity masking and per-source normalization so that adding a new robot or sensor is a configuration change, not a rewrite.
  • Close the loop with data consumers: build the tooling that lets researchers query, visualize, and audit datasets (clip browsers, trajectory viewers, annotation review UIs), and turn model-failure analyses into new curation rules and targeted re-collection requests.

What We Are Looking For
  • Education: M.S., or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, Mechanical Engineering, or a related field.
  • Programming & ML Frameworks: Deep expertise in Python and extensive experience with PyTorch, specifically in handling custom dataloaders for multimodal datasets.
  • Force & Time-Series Data Processing: Experience analyzing and processing complex time-series data from force-torque (F/T) sensors, load cells, or tactile arrays, ensuring pristine alignment with visual frames.
  • Video Processing Expertise: Mastery of video processing pipelines and libraries (OpenCV, FFmpeg, Decord) and managing the I/O bottlenecks of terabyte-scale video datasets.
  • Solid working knowledge of 3D geometry and robotics data: coordinate frames and transforms, rotation representations, camera intrinsics/extrinsics, forward/inverse kinematics, URDF-enough to build automated checks that catch geometric inconsistencies in the data.
  • Data Augmentation: Proven ability to implement programmatic and generative data augmentation techniques for computer vision and time-series data.

Bonus Skills
  • Experience with NVIDIA's robotic software stack (Open X-Embodiment, DROID, AgiBot World, EgoDex, or similar).
  • Familiarity with the modern perception toolbox as a user: segmentation (SAM-family), monocular depth, hand/body pose estimation (MANO/SMPL), 6-DoF object pose tracking, point tracking-you don't need to train these models, but you should be comfortable composing and evaluating them in a pipeline
  • Familiarity with distributed data processing systems (Ray, Apache Spark) for cluster computing.
  • Background in generating or utilizing synthetic robotic data via simulation (Omniverse, MuJoCo).
  • Experience integrating spatial awareness or tactile data representations (e.g., Fourier encoding) into visual pipelines.

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.

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