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Remote Medical Data Annotation Jobs (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Be Seen First

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

Be Seen First

Remote (US Only) iMerit - An EXL Company, is engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Data Annotation * Data Interpretation * Fact Checking * Independent Research * Problem-Solving

Showing results 41-60

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.

More about Remote Medical Data Annotation jobs

What cities are hiring for Remote Medical Data Annotation jobs?

Cities with the most Remote 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 Remote Medical Data Annotation jobs?

States with the most job openings for Remote Medical Data Annotation jobs include:

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

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

Infographic showing various Remote Medical Data Annotation job openings in the United States as of September 2026, with employment types broken down into 74% Full Time, 11% Part Time, 5% Temporary, and 10% Contract. Highlights an 100% Remote job distribution.

Data & AI Program Manager (Remote)

Redmond, WA • Remote

Cyborg Mobile
Business Management Consulting • 11 - 50 employees

Full-time

Posted 3 days ago

New


Job description

About the Role

We're hiring a Data & AI Program Manager to support a Fortune 100 technology company. This role sits at the intersection of data strategy and applied machine learning, owning the end-to-end data lifecycle that fuels natural language processing (NLP) applications and large language model (LLM) development. You'll define what "good data" looks like for a range of NLP use cases, build the guidelines and pipelines to get there, and partner closely with data engineering, data science, and ML teams to turn high-quality annotated data into measurable model performance gains.

This is a full-time W2 position. You would be employed by Cyborg Mobile but placed with our client working full-time there and reporting to a manager there. We're looking for someone who is a self-starter, self-sufficient, and able to execute with little direction. This is a remote position (Washington candidates preferred). **We are not interested in working with agencies at this time**

What You'll Do
  • Conduct market and user research to understand data needs and expectations across various NLP applications and domains
  • Define data specifications, scope, and sourcing strategy for each use case and domain
  • Design judgment guidelines and instructions for data annotation, validation, and quality control
  • Deliver datasets, schemas, guidelines, and annotations that meet approved specifications, scope, and sourcing requirements
  • Manage the end-to-end data annotation process
  • Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings into actionable recommendations
  • Implement approved data quality improvement actions
  • Collaborate with client data engineers, data scientists, and machine learning engineers to integrate annotated data into production pipelines, support LLM fine-tuning, and evaluate model performance and impact
  • Identify data gaps and opportunities; propose new data sources, methods, and features to improve data quality and model outcomes
  • Communicate data vision, strategy, and results to internal and external stakeholders, including product owners, engineers, researchers, customers, and partners
  • Prepare and deliver data reports, presentations, and demos using client-approved formats and channels
What We're Looking For
  • Experience in NLP data strategy, annotation program management, or a related data quality/linguistics role
  • Strong understanding of data annotation workflows, guideline design, and inter-annotator quality control
  • Familiarity with LLM training/fine-tuning pipelines and how annotated data feeds model evaluation
  • Analytical mindset with the ability to translate quality metrics into concrete improvement plans
  • Excellent stakeholder communication skills comfortable presenting to both technical and non-technical audiences
  • Experience working in large, matrixed corporate environments 
Must Haves
  • Customer centric
  • Good with follow through 
  • Has skills to build Agents, PowerBI dashboards, Sharepoint list management, coding agents like Codex, Claude Code, Github copilot