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Home Based Medical Data Annotation Jobs in Ohio (NOW HIRING)

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Home Based Medical Data Annotation information

What are some common challenges faced by professionals working in home-based medical data annotation, and how can they be managed?

One common challenge in home-based medical data annotation is maintaining accuracy and consistency when labeling complex medical images or records, as errors can impact critical healthcare outcomes. Working remotely may also lead to feelings of isolation or difficulty staying updated with annotation guidelines. To manage these challenges, it's important to establish a quiet, dedicated workspace, participate in regular virtual team meetings, and utilize provided training resources. Staying engaged with peers through communication channels and seeking feedback from supervisors can also help ensure high-quality work and ongoing professional development.

What are the key skills and qualifications needed to thrive as a Home Based Medical Data Annotation Specialist, and why are they important?

To thrive as a Home Based Medical Data Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling—often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, EHR systems, and relevant data security protocols is typically required, and some employers may prefer certifications in medical coding or data management. Strong organizational skills, self-motivation, and effective written communication help individuals excel in remote, deadline-driven environments. These competencies ensure accurate, high-quality data labeling that is essential for developing reliable AI systems in healthcare.

What is the difference between Home Based Medical Data Annotation vs Home Based Medical Transcription?

AspectHome Based Medical Data AnnotationHome Based Medical Transcription
Required CredentialsBasic medical knowledge, attention to detailMedical terminology, transcription skills, sometimes certification
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, data labeling for healthcare AI modelsConverting audio to written reports for medical records
Common Search/ComparisonYesYes

Home Based Medical Data Annotation involves labeling medical images and data to train AI systems, requiring attention to detail and basic medical knowledge. In contrast, Home Based Medical Transcription focuses on converting audio recordings into written medical reports, often needing transcription skills and familiarity with medical terminology. Both roles are remote and industry-specific, but they serve different purposes within healthcare technology and documentation.

What is home based medical data annotation?

Home based medical data annotation involves labeling and categorizing medical data, such as images, audio, or text, from the comfort of your home. Annotators help train artificial intelligence (AI) systems by identifying and marking relevant information, such as highlighting tumors in X-rays or transcribing medical notes. This role is essential for improving the accuracy and efficiency of AI tools used in healthcare diagnostics, research, and patient care. Typically, it requires attention to detail, a basic understanding of medical terminology, and familiarity with annotation tools.
What are the most commonly searched types of Medical Data Annotation jobs in Ohio? The most popular types of Medical Data Annotation jobs in Ohio are:
What are popular job titles related to Home Based Medical Data Annotation jobs in Ohio? For Home Based Medical Data Annotation jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Home Based Medical Data Annotation jobs in Ohio look for? The top searched job categories for Home Based Medical Data Annotation jobs in Ohio are:
What cities in Ohio are hiring for Home Based Medical Data Annotation jobs? Cities in Ohio with the most Home Based Medical Data Annotation job openings:
Infographic showing various Home Based Medical Data Annotation job openings in Ohio as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.
Data and Analytics - Data Annotation

Data and Analytics - Data Annotation

J.P. Morgan

Columbus, OH • On-site

Full-time

Medical, Retirement

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


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Working at Chase means making a real difference every day for your customers, your community and
yourself. How? By putting others first, doing what's right and creating solutions that make lives better.
Build your career on our strong foundation and help shape what's nextâfor you and for us. Chase, a
leading provider of diverse financial services worldwide, is actively seeking service-center team
members to create lifelong engaged relationships with our customers by delivering superior service and
quality with every customer interaction

As a Data Domain Architect Analyst within Consumer and Community Banking, you will leverage your business expertise and knowledge of JPMorgan Chase products to collaborate effectively with Data Science, Analytics, and Engineering teams. You will be responsible for developing and enhancing machine learning solutions by gathering, curating, annotating, enriching, and validating data. Additionally, you will create taxonomies and other resources to train machine learning models, extract insights, conduct analysis, and potentially generate content.

Job Responsibilities:

  • Label and annotate call center transcripts and other datasets to support the development of machine learning models.
  • Review and validate the outputs of AI and ML models, ensuring accuracy as well as alignment with business goals and compliance standards.
  • Leverage GenAI tools to conduct deep dives into call datasets to uncover opportunities to improve customer experience.
  • Provide expert guidance to stakeholders on leveraging ML/AI discovery tools for actionable insights. 
  • Draft and refine taxonomies and classification schemas to enhance data organization and model training.
  • Identify and escalate anomalies, errors, or unexpected model behaviors, acting as a critical checkpoint in our AI workflow.
  • Work closely with data scientists, engineers, and business stakeholders to continuously improve annotation processes and model performance.

Required qualifications, capabilities, and skills:

  • Experience with banking products and/or customer service within the financial services industry
  • Bachelor's degree in business or comparable discipline; or equivalent level demonstrated in relevant work experience.
  • Excellent analytical and problem-solving skills and the ability to pay close attention to detail
  • Experience in working with and analyzing large real-world datasets.
  • Ability to interpret and apply business context to technical tasks.
  • Interest in machine learning and willingness to develop new skills in this area.

Preferred qualifications, capabilities, and skills

  • Prior experience with data annotation, conversational analysis, taxonomy development, machine learning projects, and/or quality assurance
  • Familiarity with industry annotation and labeling methods.
  • Working knowledge of information and data retrieval.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.