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At Home Image Annotation Jobs in Florida (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 ... Establish robust MLOps practices and annotation workflows, including model versioning, automated ...

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 ... Establish robust MLOps practices and annotation workflows, including model versioning, automated ...

JPMorgan Chase & Co

Applied AI/ML Lead

Tampa, FL

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 ...

J.P. Morgan

Applied AI/ML Lead

Tampa, FL

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 ...

J.P. Morgan

Data Scientist Lead

Tampa, FL · On-site

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

M/I Homes

New Home Consultant

Orlando, FL · On-site

... satisfaction at every step. Key Responsibilities: * Convert visiting customers to new home ... Maintain M/I Homes' brand image by monitoring community appearance and home maintenance ...

M/I Homes

New Home Consultant

Orlando, FL · On-site

... satisfaction at every step. Key Responsibilities: * Convert visiting customers to new home ... Maintain M/I Homes' brand image by monitoring community appearance and home maintenance ...

M/I Homes

New Home Consultant

Orlando, FL · On-site

... satisfaction at every step. Key Responsibilities: * Convert visiting customers to new home ... Maintain M/I Homes' brand image by monitoring community appearance and home maintenance ...

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At Home Image Annotation information

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How much do at home image annotation jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for at home image annotation in Florida is $15.41, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $17.26 per hour, depending on experience, location, and employer.

What is the difference between At Home Image Annotation vs Data Labeler?

AspectAt Home Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, home-basedRemote, home-based or office
Industry UsageAI training, autonomous vehicles, medical imagingMachine learning, AI datasets, various industries
Job FocusAnnotating images for AI modelsLabeling data for machine learning

Both At Home Image Annotation and Data Labeler roles involve preparing data for AI systems, often working remotely with similar skills. However, At Home Image Annotation specifically emphasizes annotating images, while Data Labeler may include a broader range of data types. The roles are often interchangeable depending on the project, but understanding the specific focus can help in job selection.

What are common challenges faced by at home image annotation professionals, and how can they be managed?

At-home image annotation professionals often face challenges such as maintaining focus during repetitive tasks, meeting tight deadlines, and ensuring high accuracy in their work. To manage these, it's helpful to set up a dedicated workspace, use productivity techniques like the Pomodoro method, and regularly review guidelines to minimize errors. Collaborating through online team channels and seeking feedback can also help maintain quality and stay connected with the team, even while working remotely.

What is at home image annotation?

At home image annotation is a remote job where individuals label or tag objects, features, or areas within digital images to help train artificial intelligence (AI) systems. This process involves using specialized software to draw boxes, outlines, or points on images and assign labels to them based on specific instructions. The annotated images are then used by companies to improve machine learning models for tasks such as image recognition, autonomous vehicles, and medical diagnostics. Working from home, annotators usually need a computer, reliable internet, and attention to detail. The job is often flexible and can be done part-time or full-time.

What skills and qualifications are needed for at home image annotation?

To thrive as an At Home Image Annotation Specialist, you need attention to detail, strong visual perception, and a basic understanding of data labeling concepts, usually supported by a high school diploma or equivalent. Familiarity with annotation platforms like Labelbox, Supervisely, or VIA, and sometimes experience with basic image editing tools, is often required. Strong self-motivation, communication skills, and the ability to follow complex instructions help individuals excel in remote, independent work environments. These skills ensure high-quality, accurate datasets that are crucial for training reliable computer vision models.

What are the most commonly searched types of Image Annotation jobs in Florida?

The most popular types of Image Annotation jobs in Florida are:

What are popular job titles related to At Home Image Annotation jobs in Florida?

For At Home Image Annotation jobs in Florida, the most frequently searched job titles are:

What job categories do people searching At Home Image Annotation jobs in Florida look for?

The top searched job categories for At Home Image Annotation jobs in Florida are:

What cities in Florida are hiring for At Home Image Annotation jobs?

Cities in Florida with the most At Home Image Annotation job openings:

At Home Image Annotation jobs near you

Applied AI/ML Lead

JPMorgan Chase & Co.

Tampa, FL • On-site

Other

Medical, Retirement

Re-posted 12 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.

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