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Data Trainer Jobs in Florida (NOW HIRING)

Philip Morris International U.S.

Data Architect

Tampa, FL · On-site

$58 - $74.50/hr

Partner with data scientists and AI/ML engineers to design data architectures that support AI/ML model development, training, and deployment - ensuring seamless integration into data pipelines.

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

The Subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

Additionally, this position will be required to work with other teams to gain insight and to provide technical training to others. JOB FUNCTIONS: * Responsible for data analytics / data science on ...

Apex Systems

Data Analyst

Pensacola, FL · On-site

We offer quality career resources, training, certifications, development opportunities, and a ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

Solera

Trainer II

Jacksonville, FL · On-site

Who We Are Solera is a global leader in data and software services that strives to transform every ... The Role We are seeking a high-energy, results-driven Operations Trainer & Learning Specialist to ...

New

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

Metrc, LLC

Data Analyst

Lakeland, FL · On-site

... training to facilitate user education. · Proactively explore new metrics within existing data to improve analytics. · Maintain and publish organizational data dictionaries to ensure accurate and up ...

Subway Group

Data Scientist

Miami, FL · On-site

$103 - $128/hr

Collaborate with data and software engineers to support data science solutions through the entire ... training, location, and internal equity. The Company is only considering applicants who are ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

Establish best practices for annotation quality management, training data curation, active learning strategies, and ground truth validation to ensure high‑quality labeled datasets. * Design, manage ...

AIS, Inc.

Data Scientist

Miami, FL · On-site

Support annotation of datasets and development of machine learning models, including training and validation of classifiers and detection systems * Generate data products suitable for use by ...

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Showing results 21-40

All JobsData Trainer JobsData Trainer Jobs in Florida

Data Trainer information

What is a data trainer?

Data Trainers are professionals who prepare and curate datasets used to train machine learning models. They are responsible for labeling, annotating, and verifying data to ensure its quality and relevance for artificial intelligence systems. Data Trainers play a crucial role in helping AI systems learn to interpret data accurately by providing clean and well-organized training data. Their work often involves working closely with data scientists and engineers to improve model performance.

What are some common challenges data trainers face when preparing datasets for machine learning projects?

Data Trainers often encounter challenges related to data quality, such as inconsistencies, missing values, and labeling errors. Ensuring that datasets are well-structured and accurately annotated is crucial for producing reliable machine learning models. Collaborating closely with data scientists, subject matter experts, and sometimes external annotators is essential to clarify requirements and maintain high standards. Attention to detail and strong communication skills help Data Trainers resolve ambiguities and deliver clean, usable datasets.

What are the key skills and qualifications needed to thrive as a data trainer, and why are they important?

To thrive as a Data Trainer, you need a strong background in data analysis, machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with data labeling platforms, annotation tools, and experience using programming languages like Python are typically required. Excellent communication, attention to detail, and the ability to convey technical information clearly help a Data Trainer stand out. These skills ensure high-quality, accurate data preparation that directly impacts the performance of machine learning models.

What is the difference between Data Trainer vs Data Analyst?

AspectData TrainerData Analyst
Required CredentialsOften requires certifications in training, data tools, or related fieldsTypically requires degrees in statistics, data science, or related fields
Work EnvironmentPrimarily conducts training sessions, workshops, and educational programsAnalyzes data sets, creates reports, and provides insights for decision-making
Employer & Industry UsageUsed in corporate training, educational institutions, and tech companiesCommon in finance, marketing, healthcare, and tech industries

While both roles involve working with data, Data Trainers focus on educating and training others in data tools and concepts, whereas Data Analysts analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What cities in Florida are hiring for Data Trainer jobs?

Cities in Florida with the most Data Trainer job openings:

Data Trainer jobs near you
Infographic showing various Data Trainer 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.

Data Architect

Philip Morris International U.S.

Tampa, FL • On-site

$58 - $74.50/hr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Data Architect - Tampa, FL
At PMI U.S., we are building a modern nicotine business-focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris International, we are investing in new products, science, and capabilities to provide the approximately 25 million legal-age adults who still smoke with better alternatives.
Our approach is rooted in innovation, responsible marketing, and a growing U.S. footprint that spans manufacturing, technology, and commercial operations across the country.
That creates real opportunity. You'll have the space to take ownership, develop new ideas, and contribute to work that is shaping our business and the category. We're looking for people who are curious, collaborative, and motivated by progress-because the scale of what we're building creates room to grow in different directions.
About the Role:
We are seeking a highly skilled and innovative Data Architect to join our Data Services team. This role blends hands-on technical depth with strategic architecture ownership - designing and governing the data blueprints that power our enterprise data platform, analytics, and AI/ML initiatives.
The ideal candidate is not just a builder but a decision-maker: someone who defines modeling standards, selects technologies, shapes governance frameworks, and ensures our data architecture is scalable, secure, and AI-ready. You will own the architecture blueprint that every downstream team depends on.
Your Day to Day:
Data Architecture & Modeling
  • Design and maintain conceptual, logical, and physical data models (CDM/LDM/PDM) for enterprise data platform assets, ensuring alignment with business requirements and optimization for performance, scalability, and reuse.
  • Define and enforce data modeling standards, naming conventions, and design patterns across the organization.
  • Design database schemas, tables, views, indexes, and other database objects to support analytical and operational workloads.

Data Integration & Platform Architecture
  • Collaborate with solution architects and data engineers to architect a robust, modern data platform supporting data integration, data quality, and data governance across cloud and hybrid environments.
  • Define data flow diagrams, integration patterns, and orchestration strategies to ensure efficient and governed data movement between upstream and downstream systems.
  • Work with data engineers to integrate data from multiple sources (structured and unstructured), ensuring consistency, quality, and lineage across the data ecosystem.

AI/ML & Advanced Analytics Enablement
  • Partner with data scientists and AI/ML engineers to design data architectures that support AI/ML model development, training, and deployment - ensuring seamless integration into data pipelines.
  • Architect AI-ready data frameworks that enable Business Intelligence (BI), machine learning, and generative AI use cases, including RAG patterns and LLM-powered applications.
  • Implement explainable AI (XAI) principles to ensure transparency and trust in machine learning model outputs.

Governance, Documentation & Compliance
  • Establish and enforce data governance standards, including data classification, PII handling, data lineage, access control, and metadata management.
  • Create and maintain comprehensive documentation including data dictionaries, entity-relationship diagrams (ERDs), metadata catalogs, and architecture decision records.
  • Ensure data models and architecture comply with data privacy regulations and organizational data governance policies.

Performance & Continuous Improvement
  • Monitor and optimize the performance of data models and database queries to ensure efficient data retrieval and processing at scale.
  • Evaluate emerging technologies and architecture patterns (e.g., lakehouse, data mesh, data fabric) and make recommendations aligned with organizational strategy.
  • Foster a culture of continuous learning and technical excellence within the team; mentor and guide data engineers and junior architects.

Who we're looking for:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (Master's preferred).
  • 7+ years of experience in data architecture and data modeling, including designing conceptual, logical, and physical data models across multiple functional domains (e.g., Sales, Finance, Supply Chain, Marketing).
  • Strong proficiency in SQL and hands-on experience with modern cloud data platforms - specifically Snowflake and/or Databricks (Lakehouse architecture).
  • Experience with ETL/ELT tools and frameworks (e.g., Matillion, dbt, Informatica, or similar) and data warehousing best practices.
  • Proficiency in data modeling tools such as PowerDesigner, ER/Studio, ERwin, or similar.
  • Working knowledge of Python for data processing, automation, or ML integration.
  • Experience with AI/ML libraries and platforms (e.g., TensorFlow, PyTorch, Scikit-learn, Databricks ML, or AWS SageMaker) for supporting large-scale ML workloads.
  • Solid understanding of data governance, data cataloging (e.g., Atlan, Alation, Unity Catalog), data quality frameworks, and compliance standards.
  • Legally authorized to work in the U.S.

What's nice to have?:
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and multi-cloud architectures.
  • Familiarity with lakehouse architectures, Delta Lake, Iceberg, Snowpark, or similar modern data formats and frameworks.
  • Knowledge of MLOps/LLMOps patterns, model observability, and GenAI architecture concepts (RAG, vector databases, agentic AI).
  • Experience with data observability and pipeline orchestration tools (e.g., Monte Carlo, Great Expectations, Control-M, Apache Airflow).
  • Relevant industry certifications (e.g., Snowflake SnowPro, Databricks Certified, AWS/Azure Data certifications, CDMP/TOGAF).
  • Experience working in Agile/SAFe environments with cross-functional teams.
  • Excellent communication skills with the ability to translate complex technical concepts for both technical and non-technical stakeholders.

Relevant Open Sourcing Considerations
  • Be legally authorized to work in the US
  • International relocation support is not available for this job
  • If you have been in your current job for less than 12 months or if you are on a Performance Improvement Program, you must get the approval of your current manager before applying for the job.
  • If you are not a PMI employee and employed by a third an agency, please make a formal application via the external career site at
  • To find out more about eligibility to apply for internal jobs, please refer to the Open Sourcing Employee Guidebook on the Internal Careers Portal.

What we offer
  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
  • We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
  • Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture where everyone's contribution is respected; Collaborate with some of the world's best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: To improve the lives of millions of smokers.

PMI is an Equal Opportunity Employer.
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI's affiliates first entered the U.S. market following the company's acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match - a leader in oral nicotine delivery - creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI's IQOS electronically heated tobacco devices and Swedish Match's General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit and ;br>
#PMIUS #LI-SC1

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