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Image Annotation Jobs in Tampa, FL (NOW HIRING)

Data Scientist Lead

Tampa, FL · On-site

$140 - $200/hr

... for image classification, text categorization, and intelligent data extraction from scanned ... Establish best practices for annotation quality management, training data curation, active learning ...

... for image classification, text categorization, and intelligent data extraction from scanned ... Establish best practices for annotation quality management, training data curation, active learning ...

... for image classification, text categorization, and intelligent data extraction from scanned ... Establish best practices for annotation quality management, training data curation, active learning ...

... for image classification, text categorization, and intelligent data extraction from scanned ... Establish best practices for annotation quality management, training data curation, active learning ...

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

... for image classification, text categorization, and intelligent data extraction from scanned ... Establish best practices for annotation quality management, training data curation, active learning ...

Lead the design, development, and production deployment of AI/ML solutions focused on image ... Establish robust MLOps practices and annotation workflows, including model versioning, automated ...

Lead the design, development, and production deployment of AI/ML solutions focused on image ... Establish robust MLOps practices and annotation workflows, including model versioning, automated ...

Lead the design, development, and production deployment of AI/ML solutions focused on image ... Establish robust MLOps practices and annotation workflows, including model versioning, automated ...

... for image classification, text categorization, and intelligent data extraction from scanned ... Establish best practices for annotation quality management, training data curation, active learning ...

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Image Annotation information

See Tampa, FL salary details

$691

$1.9K

$2.9K

How much do image annotation jobs pay per week?

As of Aug 25, 2026, the average weekly pay for image annotation in Tampa, FL is $1,926.38, according to ZipRecruiter salary data. Most workers in this role earn between $1,417.31 and $2,398.08 per week, depending on experience, location, and employer.

What is an image annotation?

An Image Annotation job involves labeling or tagging objects, regions, or features within images to train machine learning models. Annotators use various techniques, such as bounding boxes, polygons, or key points, to define elements in images. This work is essential for tasks like object detection, image segmentation, and facial recognition. Image annotation helps improve AI accuracy in applications such as autonomous vehicles, medical imaging, and security systems.

What are the key skills and qualifications needed to thrive in image annotation, and why are they important?

To thrive as an Image Annotation professional, attention to detail, strong visual perception, and accuracy are essential, often complemented by a high school diploma or relevant experience in data labeling or computer vision projects. Familiarity with annotation tools such as LabelImg, CVAT, or Supervisely, and a basic understanding of file formats and image labeling standards are typically required. Excellent communication, time management, and the ability to focus on repetitive tasks help individuals excel in this position. These skills ensure high-quality annotated data, which is critical for training reliable machine learning and AI models.

What are some common challenges faced by image annotation specialists in their daily work?

Image annotation specialists often encounter challenges such as maintaining accuracy and consistency when labeling large volumes of images, especially when object boundaries are ambiguous or vary across images. The need to meet tight project deadlines while ensuring high-quality output can be demanding, and handling repetitive tasks may require sustained focus and attention. Collaboration with machine learning engineers or project managers is common, as they may provide feedback or clarification on annotation guidelines. Despite these challenges, working in image annotation offers the opportunity to contribute directly to cutting-edge AI technologies and gain valuable experience in the growing field of computer vision.

What are the most commonly searched types of Image Annotation jobs in Tampa, FL?

The most popular types of Image Annotation jobs in Tampa, FL are:

What are popular job titles related to Image Annotation jobs in Tampa, FL?

For Image Annotation jobs in Tampa, FL, the most frequently searched job titles are:

What cities near Tampa, FL are hiring for Image Annotation jobs?

Cities near Tampa, FL with the most Image Annotation job openings:

Infographic showing various Image Annotation job openings in Tampa, FL as of August 2026, with employment types broken down into 75% As Needed, and 25% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,172 per year, or $48.2 per hour.

AI/ML Lead Data Engineer - Automation/Image Processing

Tampa, FL • On-site


JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

71st of 172 rated banks

People enjoy working here

Good employer

Recommended by students


$96K - $127K/yr

Full-time

Medical, Retirement

Re-posted 20 days ago


Job description


Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorganChase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Design, build, and maintain scalable, high-performance data pipelines and infrastructure to support ingestion, processing, and storage of large volumes of scanned document images across enterprise-wide workflows
  • Architect end-to-end data solutions on AWS cloud services to enable seamless flow of scanned images from source systems through OCR processing, model inference, and downstream data extraction and categorization pipelines
  • Develop robust image preprocessing and OCR integration pipelines that handle TIF/PNG format conversion, normalization, resolution enhancement, noise reduction, and batching to prepare scanned documents for downstream computer vision and OCR models
  • Build and optimize data pipelines that integrate OCR engine outputs, extracting structured text and metadata from scanned images and routing them into databases and analytics platforms for further processing
  • Design and manage data storage architectures and containerized deployments, using Oracle databases and AWS-native stores (S3, EFS) to efficiently catalog, index, and retrieve extracted text, classification labels, and metadata from processed document images
  • Drive the adoption of containerized deployment strategies using AWS EKS (Elastic Kubernetes Service) to deploy and scale image processing microservices, OCR engines, and data pipeline components with high availability and fault tolerance
  • Collaborate closely with data scientists and ML engineers to ensure training datasets for different models, and other computer vision models are properly curated, versioned, labeled, and accessible through well-structured data pipelines
  • Evaluate and integrate emerging data technologies and tools to continuously improve pipeline throughput, reduce processing latency for high-volume document scanning workloads, and optimize cost efficiency
  • Establish and enforce data quality, lineage, governance, and security frameworks to ensure traceability and integrity of extracted data from scanned documents throughout the entire processing lifecycle
  • Partner with security and compliance teams to ensure that scanned document data, extracted PII/PHI, and sensitive content are handled in accordance with regulatory requirements, encryption standards, and access controls
  • Lead and mentor a team of data engineers, establishing coding standards, peer review processes, CI/CD workflows, and best practices for building production-grade image and document processing pipelines

Required qualifications, capabilities, and skills
  • Formal training or certification on Data Engineering concepts and 5+ years applied experience
  • Strong proficiency in Java, Groovy, and Python for building data pipelines, image preprocessing workflows, automation scripts, and backend data services
  • Hands-on experience with image file handling, particularly TIF/PNG format processing, multi-page document splitting, format conversion, and integration with OCR and computer vision pipelines
  • Deep hands-on experience with AWS cloud services including S3 (for image storage), Lambda, Step Functions, and CloudWatch for building and monitoring scalable data workflows
  • Expertise in AWS EKS (Elastic Kubernetes Service) for deploying and managing containerized image processing, OCR, and data pipeline services using Docker and Kubernetes
  • Advanced knowledge of Oracle databases including PL/SQL, performance tuning, partitioning strategies, and data modeling for storing and querying large volumes of extracted document data and classification results
  • Familiarity with OCR technologies and the ability to build data pipelines that consume and structure OCR output for downstream analytics and model training
  • Understanding of data requirements for training deep learning models including dataset preparation, annotation management, and feature store integration
  • Experience with CI/CD pipelines (Jenkins) and infrastructure-as-code tools (Terraform, CloudFormation) for automated deployment and environment management
  • Strong understanding of data governance, data quality frameworks, metadata management, and data cataloging, particularly in the context of document-centric and image-heavy data ecosystems
  • Excellent leadership, communication, and stakeholder management skills with the ability to drive technical decisions across cross-functional teams

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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