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Remote Medical Data Annotation Jobs in New York (NOW HIRING)

SYDIERA

Medical Biller

New York, NY · On-site +1

$20 - $25.75/hr

Remote Medical Biller & Coder (Entry-Level & Experienced) Location: Remote (Work From Home) Job ... Maintain HIPAA compliance and data security standards Qualifications Preferred: * Experience with ...

Aston Carter

Paralegal

Manhattan, NY · Remote

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

Aston Carter

Paralegal

Manhattan, NY · Remote

This is a fully remote, project-based consulting engagement with flexible scheduling and a weekly ... Comfort working with AI tools, AI training workflows, data annotation, and large language models ...

YO AI Labs

Medical Coder - Remote

New York, NY · Remote

$50 - $80/hr

Job Title: Medical Coder Job Type: Contractor Location: Remote Job Overview We are seeking ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

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Remote Medical Data Annotation information

What is remote medical data annotation?

Remote medical data annotation involves labeling or tagging medical data—such as images, text, or audio—using specialized software, all while working from a location outside of a traditional office or lab. Annotators help create high-quality datasets that are essential for training machine learning models used in medical research and diagnostics. This work can include identifying areas of interest on medical scans, categorizing patient records, or transcribing audio notes. Remote annotation roles require attention to detail, a basic understanding of medical terminology, and adherence to privacy regulations like HIPAA. The position is vital for advancing artificial intelligence in healthcare.

What are the key skills and qualifications needed to thrive as a remote medical data annotation specialist?

To excel as a Remote Medical Data Annotation Specialist, you need a background in medical terminology, attention to detail, and familiarity with healthcare data formats, often supported by a degree or certification in a health-related field. Proficiency with annotation tools, electronic health record (EHR) systems, and data management platforms is typically required. Strong communication, time management, and analytical thinking are essential soft skills for accurate labeling and collaboration with remote teams. These competencies ensure that annotated data is reliable and precise, which is crucial for developing effective medical AI systems and supporting clinical research.

What are some common challenges faced by remote medical data annotation specialists, and how can they be overcome?

Remote medical data annotation specialists often encounter challenges such as maintaining data accuracy, understanding complex medical terminology, and managing communication with clinical teams. To overcome these, it's important to stay up-to-date with medical guidelines, participate in regular training sessions, and use collaboration tools to clarify medical ambiguities with colleagues or supervisors. Additionally, creating a structured daily workflow and setting up a distraction-free workspace can help maintain focus and accuracy when working with sensitive healthcare data.

What is the difference between Remote Medical Data Annotation vs Remote Medical Transcription?

AspectRemote Medical Data AnnotationRemote Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology knowledge, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, healthcare data labelingMedical record documentation
Common Search IntentData annotation, AI training jobsTranscription, medical record jobs

Both roles are remote and involve healthcare data, but Medical Data Annotation focuses on labeling data for AI models, while Medical Transcription involves converting audio recordings into written reports. Understanding these differences helps job seekers find the right fit in the healthcare data industry.

What are the most commonly searched types of Medical Data Annotation jobs in New York?

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

What are popular job titles related to Remote Medical Data Annotation jobs in New York?

For Remote Medical Data Annotation jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Medical Data Annotation jobs in New York look for?

The top searched job categories for Remote Medical Data Annotation jobs in New York are:

What cities in New York are hiring for Remote Medical Data Annotation jobs?

Cities in New York with the most Remote Medical Data Annotation job openings:

Remote Medical Data Annotation jobs near you
Infographic showing various Remote Medical Data Annotation job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

New York, NY • On-site, Remote

$20/hr

Part-time

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

Job description

Please submit your resume in English and indicate your level of English proficiency.
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves
Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.
While each project involves unique tasks, contributors may:
  • Carefully review provided data (text, images, or videos);
  • Label or classify content based on project guidelines;
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

What we look for
This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:
  • Bachelor's degree in any discipline;
  • Minimum 1 year of experience in any professional role;
  • Logical thinking, fact-checking and reasoning abilities;
  • Strong attention to detail and ability to understand and follow complex instructions;
  • Strong communication skills, including the ability to ask clarifying questions when needed;
  • Genuine interest in technology and artificial intelligence;
  • Strong written and spoken English (C1+).

How it works
Apply → Pass qualification(s) → Join a project (when available) → Complete tasks → Get paid
Why this freelance opportunity might be a great fit for you
  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations
For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Compensation
Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.

Apply