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Metadata Curator Jobs in Florida (NOW HIRING)

Data Scientist Lead

Tampa, FL · On-site

  • Medical

  • Retirement

... metadata tagging, and entity extraction. * Design rigorous experimentation and data quality ... Establish best practices for annotation quality management, training data curation, active learning ...

Process, digitize, and preserve legacy archival collections while curating newly created, digital ... Experience with archival best practices, Encoded Archival Description (EAD metadata and handling ...

Mid Geospatial Research Analyst

Doral, FL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Support geospatial data collection, curation, and analysis, ensuring research outputs align with ... Document and validate geospatial data sources, ensuring alignment with metadata governance and ...

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Automate Metadata Ingestion: Collaborate with the Knowledge Engineering team to build automated ... manual curation constraints. * Establish Systematic Evaluation: Collaborate with Knowledge ...

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • PTO

... metadata in accordance with established data management protocols * Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows * Support data curation ...

Data Scientist

Miami, FL · On-site

  • Medical

  • Dental

  • PTO

... metadata in accordance with established data management protocols * Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows * Support data curation ...

Data Scientist

Miami, FL · On-site +1

  • Medical

  • Dental

  • PTO

... metadata in accordance with established data management protocols * Perform QA/QC on incoming datasets and evaluate suitability for inclusion in advanced analytical workflows * Support data curation ...

Knowledge Manager Business Partner

Tampa, FL · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... and metadata, search, curation, content analytics). • Analytical reasoning and solution-focused problem solving, with the ability to connect the dots and scale KM efforts across a portfolio of ...

Showing results 21-37

Metadata Curator information

See Florida salary details

$19.1K

$54.3K

$89.3K

How much do metadata curator jobs pay per year?

As of Aug 15, 2026, the average yearly pay for metadata curator in Florida is $54,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,400.00 and $70,200.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a metadata curator?

To thrive as a Metadata Curator, you need expertise in information science, data management, and taxonomy development, often supported by a degree in library science or a related field. Familiarity with metadata standards (like Dublin Core or MARC), cataloging software, and data repository systems is typically required. Attention to detail, analytical thinking, and strong organizational and communication skills help ensure accurate and consistent metadata creation. These skills are crucial for making data easily discoverable, interoperable, and usable across digital platforms.

What challenges do metadata curators face when standardizing data from multiple sources?

Metadata Curators often encounter the challenge of integrating and standardizing data from diverse sources, which may use varying formats, terminologies, or metadata schemas. Ensuring consistency, accuracy, and completeness across these datasets requires close attention to detail and a solid understanding of metadata standards. Collaborating with data providers and technical teams is crucial to resolve discrepancies and establish clear guidelines for metadata management. Adapting to evolving data standards and maintaining documentation are also key aspects of the role.

What is a metadata curator?

Metadata Curators are professionals responsible for organizing, managing, and maintaining metadata, which is data that describes other data. They ensure that information about digital assets—such as documents, images, or datasets—is accurate, consistent, and easily searchable. Their work helps improve data discoverability, interoperability, and long-term access in libraries, archives, museums, and digital repositories. Metadata Curators often collaborate with data creators and users to establish and apply metadata standards. Their expertise is essential for effective data management and information retrieval.

What is the difference between Metadata Curator vs Data Analyst?

AspectMetadata CuratorData Analyst
Required CredentialsBachelor's in Library Science, Information Management, or related fields; familiarity with metadata standardsBachelor's in Statistics, Data Science, or related fields; proficiency in data analysis tools
Work EnvironmentLibraries, archives, museums, digital repositoriesBusiness, finance, healthcare, tech companies
Employer & Industry UsageOrganizations managing digital assets and information resourcesOrganizations analyzing data to inform decisions
Common Search & Comparison IntentUnderstanding roles related to managing metadata and digital contentUnderstanding roles focused on analyzing and interpreting data

While both roles involve working with data, a Metadata Curator primarily manages and organizes metadata for digital assets, ensuring accurate description and discoverability. A Data Analyst interprets data sets to provide insights and support decision-making. The roles often overlap in data management but differ in focus and industry application.

Infographic showing various Metadata Curator job openings in Florida as of August 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 100% In-person job distribution, with an average salary of $54,273 per year, or $26.1 per hour.

Full-time

Medical, Retirement

Posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


As Data Scientist Lead within Commercial & Investment Bank with the Healthcare Provider team, you will lead a team in building advanced solutions for image classification, text categorization, and intelligent data extraction from scanned documents. You will have deep proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, AWS SageMaker/Bedrock, and hands-on experience with CNN/transformer architectures, OCR technologies, and multimodal document understanding models. This role involves managing the full ML lifecycle, from prototyping to production deployment on AWS EKS.
Job responsibilities
  • Lead and mentor a team of data scientists in designing and executing advanced analytics and modeling projects focused on image classification, text categorization, and intelligent data extraction from scanned document images. Foster a culture of curiosity, analytical rigor, and continuous learning by developing team members in deep learning, computer vision, NLP, and document AI techniques.
  • Define and drive the analytical strategy for document understanding use cases, identifying the optimal combination of computer vision, NLP, and multimodal approaches.
  • Build and fine-tune multimodal document understanding and text categorization models. Leverage the interplay of textual content, spatial layout, and visual features to extract structured fields and key-value pairs from complex scanned documents, while enabling automated categorization, routing, metadata tagging, and entity extraction.
  • Design rigorous experimentation and data quality frameworks, including A/B testing, cross-validation strategies, and statistical significance testing to evaluate model performance and hyperparameter tuning. 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, and optimize the workflows involved in preparing data for machine learning model training, select statistical or Deep Learning models that are best positioned to achieve business results.
  • Develop and deploy models using Python and AWS SageMaker, managing the full lifecycle from exploratory data analysis and prototyping through production deployment, monitoring, and performance tracking. Collaborate with data engineers and ML engineers to ensure seamless integration of analytical models into production document processing pipelines and data workflows.

Required qualifications, capabilities, and skills
  • Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
  • 7+ years of experience in data science or quantitative analytics, with at least 2+ years of experience in document AI, computer vision, or NLP domains.
  • Strong foundation in statistics, mathematics, and programming, including probability, mathematical modeling, and experimental design with the ability to rigorously evaluate model performance with advanced proficiency in Python for data analysis, modeling, and visualization, and deep experience in PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, OpenCV, pandas, NumPy, matplotlib, and seaborn.
  • Hands-on experience with CNN and transformer architectures for document AI for image classification, transfer learning, and feature extraction; multimodal document understanding combining textual, visual, and layout features; and NLP models for text categorization, sequence labeling, named entity recognition, and semantic analysis with familiarity with additional computer vision models including object detection, image segmentation, and Vision Transformers.
  • Working experience with OCR technologies and image preprocessing, for text extraction from scanned documents, with an understanding of OCR accuracy metrics, preprocessing optimization, and error analysis. Proficiency in image preprocessing techniques for scanned documents in TIF/PNG format, including deskewing, binarization, resolution enhancement, noise removal, and multi-page document handling.
  • Hands-on experience with AWS SageMaker and Amazon Bedrock, including building, training, tuning, and deploying ML models in cloud-based production environments (notebook instances, training jobs, inference endpoints), as well as exploring foundation models and generative AI capabilities to augment document understanding and classification workflows and experience with containerized deployments on AWS EKS for productionizing data science models and analytical services at scale.
  • Proficiency in SQL with strong working knowledge of Oracle databases for complex data extraction, transformation, and analysis of document metadata and extracted content with working knowledge of Java and Groovy for collaborating with engineering teams and understanding enterprise application codebases and strong understanding of annotation tools, active learning strategies, and training data management for supervised learning in document AI use cases.

Preferred qualifications, capabilities, and skills
  • Domain expertise in the healthcare industry

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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