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Director Image Annotation Jobs in Florida (NOW HIRING)

Orlando Health

Sonographer - Lead

Orlando, FL · On-site

Functions in a supervisory level in the absence of the Supervisor/Director/Manager of Non-Invasive ... Assesses diagnostic images for technical quality, proper annotation, and patient identification ...

Orlando Health

Sonographer - Lead

Orlando, FL

Functions in a supervisory level in the absence of the Supervisor/Director/Manager of Non-Invasive ... Assesses diagnostic images for technical quality, proper annotation, and patient identification ...

Orlando Health

Sonographer, Lead

Winter Park, FL · On-site

... or Director. Provides quality patient care when performing diagnostic cardiology, vascular, or ... annotation, and patient identification, ensuring that all relative anatomy is demonstrated. • ...

Orlando Health

Sonographer, Lead

Winter Park, FL

... or Director. Provides quality patient care when performing diagnostic cardiology, vascular, or ... annotation, and patient identification, ensuring that all relative anatomy is demonstrated. • ...

Orlando Health

Echo/ Vascular Sono Pool

Orlando, FL · On-site

... of the department supervisor, manager, or director. Responsibilities What you will do ... Assesses diagnostic images for technical quality, proper annotation, and patient identification ...

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All JobsImage Annotation JobsDirector Image Annotation JobsDirector Image Annotation Jobs in Florida

Director Image Annotation information

See Florida salary details

$32.5K

$95.3K

$178.6K

How much do director image annotation jobs pay per year?

As of Jul 23, 2026, the average yearly pay for director image annotation in Florida is $95,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $112,500.00 per year, depending on experience, location, and employer.

What is the difference between Director Image Annotation vs Data Labeling Specialist?

AspectDirector Image AnnotationData Labeling Specialist
CredentialsExperience in AI, machine learning, or data management; often requires leadership skillsBasic to advanced knowledge of data labeling tools; certifications vary
Work EnvironmentManagement of teams, project oversight, strategic planningHands-on annotation work, using labeling platforms, focused on task execution
Employer & IndustryTech companies, AI firms, research institutionsAI, autonomous vehicles, healthcare, retail sectors
Search & Comparison IntentUnderstanding leadership roles in image annotationLearning about hands-on data labeling tasks

The main difference is that a Director Image Annotation oversees teams and manages projects, focusing on strategy and quality control, while a Data Labeling Specialist performs the actual annotation work, focusing on task execution. Both roles are essential in AI data pipelines but differ in responsibilities and experience levels.

What are the key skills and qualifications needed to thrive as a Director of Image Annotation, and why are they important?

To thrive as a Director of Image Annotation, you need expertise in machine learning, computer vision, data management, and a background in related fields such as computer science or engineering, often complemented by advanced degrees. Familiarity with annotation platforms, quality assurance tools, and project management systems is typically required, along with experience in leading large annotation teams. Strong leadership, communication, and problem-solving skills help drive team performance and ensure clear alignment with project goals. These competencies are crucial for delivering high-quality annotated datasets that power accurate AI models and support organizational objectives.

What are some common challenges faced by a Director of Image Annotation, and how can they be addressed?

A Director of Image Annotation often encounters challenges such as ensuring data quality at scale, managing diverse annotation teams, and keeping up with evolving project requirements. Overcoming these obstacles typically involves implementing robust quality control processes, fostering clear communication between annotators and project stakeholders, and investing in training to keep the team updated on the latest annotation tools and standards. Additionally, balancing deadlines while maintaining high accuracy is crucial, so strong leadership and process optimization skills are essential.

What is a Director of Image Annotation?

A Director of Image Annotation is a senior professional responsible for overseeing the processes involved in labeling and tagging images for use in machine learning and artificial intelligence applications. They manage teams of annotators, develop strategies for efficient and accurate data labeling, and ensure that the annotated data meets the quality standards required for training AI models. This role often involves collaborating with engineers, data scientists, and project managers, as well as implementing best practices and tools to streamline image annotation workflows.
What are the most commonly searched types of Image Annotation jobs in Florida? The most popular types of Image Annotation jobs in Florida are:
What are popular job titles related to Director Image Annotation jobs in Florida? For Director Image Annotation jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Director Image Annotation jobs in Florida look for? The top searched job categories for Director Image Annotation jobs in Florida are:
What cities in Florida are hiring for Director Image Annotation jobs? Cities in Florida with the most Director Image Annotation job openings:
Director Image Annotation jobs near you

Robotics Data Pipeline Engineer - Multimodal Data

Persona AI

Pensacola, FL • On-site

$108K - $130K/yr

Full-time

Medical, PTO

Posted 7 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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