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Home Based Medical Data Annotation Jobs in Kentucky

S. leave home and never make it back due to traffic crashes. At Obvio, we believe these deaths are ... Provide feedback on annotation tooling and workflows based on what you and the team experience day ...

$120K - $155K/yr

... based on market location and may vary depending on individualized factors for job candidates ... medical, financial, and other benefits. Details of participation in these benefit plans will be ...

Previous experience in clinical research, medical data annotation, clinical informatics, healthcare ... Remote, US based Expected start date: September 15, 2026 #J-18808-Ljbffr

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...

$120K - $180K/yr

Apply LLM-based feature engineering to transform unstructured data into clinical insights ... Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10, ...

The Head Start Home-Based Manager provides leadership, supervision, and oversight of the Head Start ... Maintain program quality through ongoing monitoring, data review, and continuous improvement ...

The Team Lead will operate annotation as a shared service across our Data AI teams. They will ... Actual compensation may vary based on factors such as geographic location, work experience, market ...

$160K - $200K/yr

You will work on the full model lifecycle: data, annotation quality, training, evaluation, release ... Experience building maintainable production code and data pipelines in a Linux based environment.

Own and grow a $10M+ book of business within Meta, spanning AI/ML training data, annotation, and ... Based in or willing to work from the Seattle area or Bay Area. * Demonstrated experience owning and ...

... data, and text-based intelligence reports and develop pipelines, annotation frameworks, and quality ... In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust ...

$100K - $186K/yr

Research and apply techniques for data collection, annotation, generation, and multi-modal ... medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term ...

Support data annotation and quality validation activities * Maintain accurate operational records ... Experience working in shift-based environments * Familiarity with multi-monitor workstations Why ...

As a key member of our AI Quality team, you will work closely with annotation specialists, product ... Build automated monitoring solutions to evaluate millions of voice and chat-based customer ...

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Home Based Medical Data Annotation information

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 key skills and qualifications needed to thrive as a home based medical data annotation specialist?

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 labelingβ€”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 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 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 are the most commonly searched types of Medical Data Annotation jobs in Kentucky?

The most popular types of Medical Data Annotation jobs in Kentucky are:

What are popular job titles related to Home Based Medical Data Annotation jobs in Kentucky?

For Home Based Medical Data Annotation jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Home Based Medical Data Annotation jobs in Kentucky look for?

The top searched job categories for Home Based Medical Data Annotation jobs in Kentucky are:

What cities in Kentucky are hiring for Home Based Medical Data Annotation jobs?

Cities in Kentucky with the most Home Based Medical Data Annotation job openings:

Data Annotation Engineer

Louisville, KY β€’ On-site

Tanisha Systems
1 - 5K employees

Other

Posted 18 days ago


Job description

Data Annotation Engineer Location - Louisville, Kentucky (Day 1 onsite) Pay Rate: Market- based on experience We are looking for an Annotation Program Lead to manage our AI Quality Annotation Program. This individual will oversee the operational execution of human review activities that establish the gold-standard datasets used to measure conversational AI performance, safety, and compliance. The ideal candidate combines strong program management skills with experience in quality assurance, data annotation operations, and stakeholder engagement. Lead the day-to-day operation of the AI annotation program. Manage a team of annotators responsible for reviewing customer conversations and AI interactions. Develop annotation guidelines, procedures, and quality standards. Establish calibration programs and quality assurance processes to ensure consistency across reviewers. Partner with Data Scientists to create and maintain gold-standard datasets. Monitor annotation accuracy, throughput, and quality metrics. Coordinate reporting and deliverables for Legal, Compliance, Responsible AI, and executive stakeholders. Manage annotation workflows and tooling including setting up annotation jobs, running data processing scripts, and testing annotation UIs for quality before job launch. Plan capacity requirements to support seasonal increases in review volume. Support future expansion into multilingual evaluation programs. Identify process improvements that increase efficiency and annotation quality. Bachelor's degree or equivalent experience in Linguistics/Psychology. 5+ years of experience in program management, operations, quality assurance, data labeling, or related fields. Experience leading teams and managing operational workflows. Strong organizational and stakeholder management skills. Ability to analyze quality metrics and drive continuous improvement initiatives. Excellent written and verbal communication skills. Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data. Strong organizational and stakeholder management skills. Ability to analyze quality metrics and drive continuous improvement initiatives. Excellent written and verbal communication skills. Familiarity with Python/R, SQL and Excel. Should be familiar with running scripts on language data. Experience supporting AI, machine learning, or data annotation programs. Familiarity with Responsible AI, compliance, legal review, or governance processes. Experience developing operational standards and quality frameworks. Experience managing vendor or contractor resources.