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Home Based Medical Data Annotation Jobs (NOW HIRING)

Aquent

Senior AI Data Operations Analyst

Manhattan, NY · On-site +1

$47 - $51/hr

... data annotation experience in other tech industries is fully welcome). The target hiring compensation range for this role is $47.00/hr to $51.00. Compensation is based on several factors including ...

TradeJobsWorkforce

Home-Based Data Clerk

Oxford, NE · Remote

$19.50 - $26/hr

As a Home-Based Data Clerk, you will be responsible for inputting and maintaining data accurately from home, including: input data accurately into company systems from home. verify and correct data ...

TradeJobsWorkforce

Home-Based Data Clerk

Oxford, NE · Remote

$19.50 - $26/hr

As a Home-Based Data Clerk, you will be responsible for inputting and maintaining data accurately from home, including: input data accurately into company systems from home. verify and correct data ...

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

AI/ML Data Contributor

Des Moines, IA · On-site

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 ...

TSMG

AI/ML Data Contributor

Columbia, SC · On-site

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 ...

TSMG

AI/ML Data Contributor

Boise, ID · On-site

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 ...

TSMG

AI/ML Data Contributor

Jackson, MS · On-site

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 ...

TSMG

AI/ML Data Contributor

Des Moines, IA · Remote

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 ...

TSMG

AI/ML Data Contributor

Oklahoma City, OK · Remote

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 ...

TSMG

AI/ML Data Contributor

Columbia, SC · On-site

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 ...

TSMG

AI/ML Data Contributor

Jackson, MS · On-site

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 ...

TSMG

AI/ML Data Contributor

Birmingham, AL

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 ...

TSMG

AI/ML Data Contributor

Boise, ID · Remote

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 ...

TSMG

AI/ML Data Contributor

Los Angeles, CA · Remote

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 ...

TSMG

AI/ML Data Contributor

Louisville, KY

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 ...

TSMG

AI/ML Data Contributor

Indianapolis, IN · On-site

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 ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

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 ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

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 ...

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All JobsHome Based Medical Data Annotation Jobs

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?

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.
More about Home Based Medical Data Annotation jobs
What cities are hiring for Home Based Medical Data Annotation jobs? Cities with the most Home Based Medical Data Annotation job openings:
What are the most commonly searched types of Medical Data Annotation jobs? The most popular types of Medical Data Annotation jobs are:
What states have the most Home Based Medical Data Annotation jobs? States with the most job openings for Home Based Medical Data Annotation jobs include:
What job categories do people searching Home Based Medical Data Annotation jobs look for? The top searched job categories for Home Based Medical Data Annotation jobs are:
Home Based Medical Data Annotation jobs near you
Infographic showing various Home Based Medical Data Annotation job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 22% Part Time, and 14% Contract. Highlights an 81% In-person, and 19% Remote job distribution.

Senior AI Data Operations Analyst

Aquent

Manhattan, NY • On-site, Remote

$47 - $51/hr

Temporary

Medical, Retirement

Posted 15 days ago

Job description

Placement Type:
Temporary
Salary:
$47-51 Hourly
W2, Benefits and 401k matching
Start Date:
Aug 10, 2026
Our media client, partnered with Aquent, is a global leader in the entertainment industry, dedicated to connecting millions of users with engaging audio experiences. They are at the forefront of innovation, continuously evolving how listeners discover and interact with audio content. This is an incredible opportunity to join a team that shapes the daily experience of a vast global audience, directly influencing how users discover and engage with content through cutting-edge AI and machine learning.
Senior AI Data Operations Analyst
Are you passionate about the intersection of AI, data quality, and user experience? We are seeking a talented individual to play a pivotal role in ensuring the highest quality and relevance of recommendation engines and AI/LLM-powered features. In this hands-on, highly collaborative position, you will be a key driver of data quality and annotation strategy, bridging critical gaps between product managers, data scientists, and engineers. Your work will directly contribute to building the essential datasets needed to train and evaluate next-generation features, making a tangible impact on the core user experience and the future of content discovery.
What You'll Do
  • Perform hands-on data annotations and lead larger, cross-functional annotation sessions to generate high-quality training datasets for advanced recommendation models.
  • Establish clear criteria, metrics, and qualitative success measures for core user experience features and the LLM judges evaluating them.
  • Design and execute structured qualitative testing using internal tools, ensuring human judgment remains central while leveraging AI/LLM tools to scale evaluation efforts efficiently.
  • Partner on major, publicly announced initiatives, driving the evolution of personalized and agentic user experiences.
  • Improve and maintain robust evaluation processes, guidelines, and documentation that are adopted across various product groups.
  • Present qualitative findings, data trends, and quality risks clearly and concisely to product, design, research, and engineering leads, influencing strategic decisions.

What You'll Bring
  • Data Quality / Annotation Background: Proven experience in data annotation, data quality, or product/content quality analysis with direct ownership over evaluation workflows.
  • Strong Qualitative & Analytical Skills: Highly comfortable running structured qualitative evaluations, handling large data sets, and transforming subjective feedback into clear, actionable quality metrics.
  • AI/ML Familiarity: Strong functional understanding of machine learning product development and how ML/LLM/agentic features are evaluated and trained. You understand how data quality directly impacts AI outputs.
  • Process & Framework Builder: Demonstrated ability to create or refine robust evaluation frameworks and guidelines that empower team members to consistently maintain high quality standards.
  • Strong Communicator: Excellent written and verbal communication skills, with the ability to confidently present findings and guide cross-functional teams through complex evaluation initiatives.
  • Tool Proficiency: Comfortable working with standard data tools (e.g., Excel, Google Sheets) and adept at quickly learning internal proprietary annotation and evaluation platform tools.

Bonus Points
  • Experience in digital media or streaming entertainment platforms (though data annotation experience in other tech industries is fully welcome).

The target hiring compensation range for this role is $47.00/hr to $51.00. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
About Skill:
Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts.
Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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