ZipRecruiter

Log In

1

Image Tagging Jobs (NOW HIRING)

JPMorgan Chase & Co.

Applied AI/ML Lead

Tampa, FL · On-site

Lead the design, development, and production deployment of AI/ML solutions focused on image ... tagging of OCR-extracted text. * Lead the integration and optimization of OCR technology and ...

J.P. Morgan

Applied AI/ML Lead

Tampa, FL

Lead the design, development, and production deployment of AI/ML solutions focused on image ... tagging of OCR-extracted text. * Lead the integration and optimization of OCR technology and ...

JP Morgan Chase

Applied AI/ML Lead

Tampa, FL

Lead the design, development, and production deployment of AI/ML solutions focused on image ... tagging of OCR-extracted text. * Lead the integration and optimization of OCR technology and ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

... tagging, and entity extraction. * Design rigorous experimentation and data quality frameworks ... Proficiency in image preprocessing techniques for scanned documents in TIF/PNG format, including ...

JP Morgan Chase

Data Scientist Lead

Tampa, FL

... tagging, and entity extraction. * Design rigorous experimentation and data quality frameworks ... Proficiency in image preprocessing techniques for scanned documents in TIF/PNG format, including ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

... tagging, and entity extraction. * Design rigorous experimentation and data quality frameworks ... Proficiency in image preprocessing techniques for scanned documents in TIF/PNG format, including ...

Next Frontier Capital

Data Scientist Lead

Tampa, FL · On-site

$140 - $200/hr

... tagging, and entity extraction. * Design rigorous experimentation and data quality frameworks ... Proficiency in image preprocessing techniques for scanned documents in TIF/PNG format, including ...

New

J.P. Morgan

Data Scientist Lead

Tampa, FL

... tagging, and entity extraction. * Design rigorous experimentation and data quality frameworks ... Proficiency in image preprocessing techniques for scanned documents in TIF/PNG format, including ...

JPMorgan Chase & Co

Data Scientist Lead

Tampa, FL · On-site

... tagging, and entity extraction. * Design rigorous experimentation and data quality frameworks ... Proficiency in image preprocessing techniques for scanned documents in TIF/PNG format, including ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

... for image classification, text categorization, and intelligent data extraction from scanned ... tagging, and entity extraction. * Design rigorous experimentation and data quality frameworks ...

Icreatives

Media Asset Coordinator

Plantation, FL · On-site

$21 - $25/hr

From intake to delivery, you'll ensure every file, sample, and image is accurately tracked ... Maintain accurate SKU/style tagging, metadata, and asset relationships across DAM and related ...

URBN

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site

Integrate multimodal and vision-language models into production workflows for image understanding, automated tagging, captioning, and quality pre-screening. * Collaborate with Product Designers ...

Icreatives

Media Asset Coordinator

Fort Lauderdale, FL · On-site

$21 - $25/hr

From intake to delivery, you'll ensure every file, sample, and image is accurately tracked ... Maintain accurate SKU/style tagging, metadata, and asset relationships across DAM and related ...

previous page

Showing results 41-60

All JobsImage Tagging Jobs

Image Tagging information

See salary details

$45.5K

$54.1K

$59K

How much do image tagging jobs pay per year?

As of Aug 17, 2026, the average yearly pay for image tagging in the United States is $54,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $59,000.00 per year, depending on experience, location, and employer.

What is an image tagging?

An Image Tagging job involves labeling or annotating images with relevant keywords, tags, or metadata to make them searchable and organized. This is commonly used in AI training, content management, and e-commerce to improve image recognition and classification. Taggers analyze images and assign descriptive terms based on objects, emotions, colors, or context. This process helps improve search accuracy and enhances machine-learning models.

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

To thrive as an Image Tagging professional, you need keen attention to detail, visual analysis skills, and a basic understanding of image classification or categorization. Familiarity with annotation tools, content management systems, or machine learning platforms is commonly required, though formal certifications are typically not necessary for entry-level roles. Strong time management, consistency, and the ability to follow detailed guidelines help individuals excel in this position. These skills ensure accuracy and efficiency when labeling images, which is critical for the quality of datasets used in AI and digital content applications.

What are the typical challenges faced in an image tagging role, and how can I prepare for them?

Image Tagging professionals often encounter repetitive tasks and need to maintain high accuracy across large volumes of images, which can be challenging over long periods. Staying focused and avoiding fatigue is important, as small mistakes can impact the quality of machine learning data or digital content. Developing strategies like taking scheduled breaks, using ergonomically-friendly setups, and double-checking work can help manage these challenges. Communicating regularly with your team and seeking feedback also helps improve performance and ensures consistency in tagging standards.

More about Image Tagging jobs

What cities are hiring for Image Tagging jobs?

Cities with the most Image Tagging job openings:

What are the most commonly searched types of Image Tagging jobs?

The most popular types of Image Tagging jobs are:

What states have the most Image Tagging jobs?

States with the most job openings for Image Tagging jobs include:

What job categories do people searching Image Tagging jobs look for?

The top searched job categories for Image Tagging jobs are:

Image Tagging jobs near you
Infographic showing various Image Tagging job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 74% Full Time, 20% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $54,138 per year, or $26 per hour.

Applied AI/ML Lead

JPMorgan Chase & Co.

Tampa, FL • On-site

Other

Medical, Retirement

Re-posted 13 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 Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you will lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents. You will architect and implement computer vision pipelines leveraging CRNN architectures for document type identification, page-level categorization, and visual feature extraction.
Job responsibilities
  • Lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents and evaluate and explore additional models and architectures to continuously improve classification accuracy, extraction quality, and processing efficiency.
  • Drive the development and fine-tuning of models for document understanding, text categorization, named entity recognition, and semantic understanding and combine visual layout information, textual content, and spatial relationships to extract structured data from complex scanned documents, while enabling automated categorization and metadata tagging of OCR-extracted text.
  • Lead the integration and optimization of OCR technology and generative AI capabilities into the document processing pipeline, ensuring high-accuracy text extraction from scanned TIF images across diverse document types, layouts, fonts, and quality levels. Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document understanding, classification, document summarization, and augmenting traditional extraction pipelines.
  • Architect and implement scalable ML training and inference pipelines using AWS SageMaker, managing model training, hyperparameter tuning, distributed training for large vision models, and real-time/batch inference endpoint deployment. Collaborate with software engineering teams to integrate trained models into Java/Python-based microservices deployed on AWS EKS, ensuring low-latency, high-throughput inference for production document processing workloads.
  • Establish robust MLOps practices and annotation workflows, including model versioning, automated retraining triggers, A/B testing of model variants, drift detection on document distributions, and comprehensive performance monitoring dashboards and design and manage labeling strategies for training data, ensuring high-quality ground truth datasets for image classification, text categorization, and document extraction tasks.
  • Build and manage a team of ML engineers and applied scientists, fostering a culture of experimentation, rapid prototyping, and rigorous evaluation of model performance against business KPIs.

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 applied ML/AI roles with at least 2+ years leading teams or large-scale ML initiatives
  • Advanced proficiency in Python and enterprise languages, with deep experience in PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow for model development and image processing. Proficiency in Java and/or Groovy for integrating ML capabilities into backend services and enterprise application ecosystems. Familiarity with Oracle databases for feature extraction, training data retrieval, and integration with ML workflows.
  • Deep expertise in computer vision and NLP models, with hands-on experience implementing and fine-tuning CRNN-based architectures for image classification and feature extraction. Strong experience with multimodal document understanding combining text, layout, and image features. Proficiency in transformer-based NLP models for text categorization, sequence labeling, named entity recognition, and semantic analysis of OCR-extracted content.
  • Practical experience with OCR technologies and image preprocessing, for text extraction from scanned documents, with an understanding of OCR accuracy optimization, preprocessing techniques, and post-processing correction. Experience with image preprocessing for scanned documents in TIF format, including multi-page handling, resolution normalization, deskewing, binarization, and noise removal.
  • Deep hands-on experience with AWS SageMaker and Amazon Bedrock, including end-to-end ML workflows such as training jobs, processing pipelines, model registry, distributed training, and real-time/batch inference endpoints. Practical experience leveraging foundation models, prompt engineering, and building generative AI-augmented document processing solutions. Experience deploying and scaling ML models as containerized microservices on AWS EKS using Docker and Kubernetes, with expertise in optimizing GPU-based inference workloads.
  • Strong knowledge of MLOps tools and practices, including MLflow, SageMaker Pipelines, or equivalent platforms for experiment tracking, pipeline automation, and model lifecycle management. Excellent leadership and communication skills with the ability to present complex technical concepts to senior leadership and non-technical audiences.

Preferred qualifications, capabilities, and skills
  • Domain expertise in the healthcare industry
  • Experience in applied ML/AI roles in document processing, computer vision, or NLP domains

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.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply