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Entry Level Ai Data Rater Jobs in Florida (NOW HIRING)

Kforce Technology Staffing

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning/AI Concepts The pay range is the lowest to highest compensation we reasonably in ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

University of Florida

Data Engineer I

Gainesville, FL · On-site

$65K - $78K/yr

  • PTO

This entry-level role, under direct supervision, entails close collaboration with customers ... AI, machine learning, knowledge graph, and natural-language data applications. * Assist in the ...

VOLT

Data Analyst - Lake Mary, FL

Lake Mary, FL · On-site

$45 - $48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... AI-generated calls, text messages, or emails from VOLT and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...

VOLT

Data Analyst - Lake Mary, FL

Lake Mary, FL · On-site

$45 - $48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... AI-generated calls, text messages, or emails from VOLT and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...

Accenture

Data Protection, A/SA-Evergreen

Tampa, FL

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accenture

Data Protection, A/SA-Evergreen

Orlando, FL · On-site

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accenture

Data Protection, A/SA-Evergreen

Miami, FL

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Contribute to emerging areas such as AI and agentic AI security, under guidance. . Qualifications ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Kforce Technology Staffing

Data Analyst

Jacksonville, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

New

Kforce Technology Staffing

Programmer Analyst

Juno Beach, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Stay updated with advancements in AI, data analytics technologies, and industry best practices to ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

Kforce Technology Staffing

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

Kforce Technology Staffing

Data Product Manager

Juno Beach, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the design and development of AI agents within prototype environments, defining agent ... and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will ...

AIS (Applied Information Sciences)

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • PTO

... AI/ML applications * Maintain familiarity with diverse data types and assist with field data ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

  • Medical

  • Dental

  • PTO

... AI/ML applications * Maintain familiarity with diverse data types and assist with field data ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

AIS Inc

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • PTO

... AI/ML applications * Maintain familiarity with diverse data types and assist with field data ... Candidates will be paid an hourly rate to be negotiated, and total compensation will vary depending ...

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All JobsAi Data Rater JobsEntry Level Ai Data Rater JobsEntry Level Ai Data Rater Jobs in Florida

Entry Level Ai Data Rater information

What is an entry level AI data rater?

An Entry Level AI Data Rater is a professional who evaluates, labels, and rates data—such as text, images, or search results—to help improve artificial intelligence systems. Their work ensures that AI models can better understand and process human language and behavior. This role typically involves following specific guidelines to assess the accuracy and relevance of data, providing valuable feedback that helps train machine learning algorithms. Entry level positions usually require attention to detail, basic computer skills, and the ability to follow instructions closely.

What are the key skills and qualifications needed to thrive as an entry level AI data rater?

To thrive as an Entry Level AI Data Rater, you need strong analytical skills, attention to detail, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with web browsers, online research tools, and proprietary rating platforms is typically required; some roles may also ask for knowledge of specific guidelines or quality assurance systems. Excellent communication, critical thinking, and time management are crucial soft skills for interpreting data and meeting productivity targets. These competencies ensure accurate data labeling and evaluation, directly impacting the quality of AI training and system performance.

What are the most common challenges faced by entry level AI data raters, and how can they be addressed?

One of the most common challenges for Entry Level AI Data Raters is maintaining consistency and accuracy when evaluating large volumes of data. Since the work often involves repetitive tasks and adhering to detailed guidelines, it can be easy to overlook small errors or become fatigued. To overcome this, it's helpful to take regular breaks, stay organized, and continually review the provided instructions. Collaborating with team leads or peers to clarify uncertainties can also improve performance and ensure high-quality results.

What is the difference between Entry Level Ai Data Rater vs Data Labeler?

AspectEntry Level Ai Data RaterData Labeler
Required CredentialsHigh school diploma or equivalent; no specialized certification often neededHigh school diploma or equivalent; may require basic training
Work EnvironmentRemote or office-based; working with AI datasetsRemote or on-site; labeling data for machine learning models
Employer & Industry UsageTech companies, AI startups, data annotation firmsTech companies, data annotation services, AI development firms

Both roles involve working with data to improve AI systems, but Entry Level Ai Data Raters often focus on evaluating AI outputs, while Data Labelers primarily annotate data. The roles are similar in credentials and work environment, with slight differences in job focus.

Can I get an entry level AI data rater job with no experience?

Entry level AI data rater positions typically do not require prior experience, as they focus on evaluating and labeling data to improve AI models. Basic computer skills, attention to detail, and the ability to follow guidelines are usually sufficient to qualify for these roles. Some employers may provide training or onboarding to new hires.

What are the most commonly searched types of Ai Data Rater jobs in Florida?

The most popular types of Ai Data Rater jobs in Florida are:

What are popular job titles related to Entry Level Ai Data Rater jobs in Florida?

For Entry Level Ai Data Rater jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Rater jobs in Florida look for?

The top searched job categories for Entry Level Ai Data Rater jobs in Florida are:

What cities in Florida are hiring for Entry Level Ai Data Rater jobs?

Cities in Florida with the most Entry Level Ai Data Rater job openings:

Entry Level Ai Data Rater jobs near you
Infographic showing various Entry Level Ai Data Rater job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Robotics Data Pipeline Engineer - Multimodal Data

Persona AI

Pensacola, FL • On-site

$108K - $130K/yr

Other

Medical, PTO

Re-posted 3 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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