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Freelance Medical Data Annotation Jobs in Raleigh, NC

Job Summary : Core Sound Imaging, a PSG company, is redefining the future of medical imaging ... data sources through APIs so that customer's information flows across the organization without ...

Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive ... Experience developing research questions, designing studies, interpreting complex data, and ...

Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive ... Experience developing research questions, designing studies, interpreting complex data, and ...

About Core Sound Imaging Core Sound Imaging, a PSG company, is redefining the future of medical ... Join us in transforming how healthcare professionals manage and share imaging data through ...

Drive an organizational culture shift toward data-driven, fact-based, and quality-oriented decision ... We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our ...

Freelance Medical Data Annotation information

See Raleigh, NC salary details

$11

$17

$21

How much do freelance medical data annotation jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for freelance medical data annotation in Raleigh, NC is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $18.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Medical Data Annotator, and why are they important?

To thrive as a Freelance Medical Data Annotator, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling or annotation, often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, electronic health record (EHR) systems, and relevant data security standards is typically required. Strong organizational skills, self-motivation, and clear communication are important soft skills for meeting deadlines and collaborating remotely. These abilities ensure high-quality, accurate data annotations that are crucial for developing reliable healthcare AI models and research outcomes.

What are some common challenges faced by freelance medical data annotators and how can they be managed?

Freelance medical data annotators often encounter challenges such as understanding complex medical terminology, ensuring high annotation accuracy, and maintaining data privacy. Since projects may involve a variety of medical data types (like radiology images or clinical notes), it's important to stay updated on medical guidelines and annotation best practices. Effective time management, attention to detail, and regular communication with project managers or medical experts can help address these challenges and ensure quality work. Additionally, using secure platforms and adhering to confidentiality agreements is essential for protecting patient information.

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

AspectFreelance Medical Data AnnotationFreelance Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology familiarity, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, data labeling for healthcareTranscribing doctor-patient recordings
Search & Comparison IntentData labeling vs transcription tasks

Freelance Medical Data Annotation involves labeling and tagging medical images or data for AI models, requiring medical knowledge and attention to detail. Freelance Medical Transcription focuses on converting audio recordings into written reports, emphasizing typing skills and medical terminology familiarity. Both roles are remote and essential in healthcare, but they serve different purposes in medical data processing and documentation.

What is freelance medical data annotation?

Freelance medical data annotation involves labeling or tagging medical data—such as images, text, or audio—to make it usable for artificial intelligence and machine learning models. Annotators may work with radiology images, pathology slides, electronic health records, or clinical notes, identifying and marking relevant features according to specific guidelines. This work is typically project-based and done remotely, requiring attention to detail and, often, some background in healthcare or life sciences. Freelancers collaborate directly with medical researchers, healthcare companies, or AI firms to help train and validate algorithms that improve medical diagnostics and research.
What are the most commonly searched types of Medical Data Annotation jobs in Raleigh, NC? The most popular types of Medical Data Annotation jobs in Raleigh, NC are:
What are popular job titles related to Freelance Medical Data Annotation jobs in Raleigh, NC? For Freelance Medical Data Annotation jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Freelance Medical Data Annotation jobs in Raleigh, NC look for? The top searched job categories for Freelance Medical Data Annotation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Freelance Medical Data Annotation jobs? Cities near Raleigh, NC with the most Freelance Medical Data Annotation job openings:

Automation Engineer

Studycast

Raleigh, NC • On-site

Full-time

Posted 23 days ago


Job description

Job Summary:
Core Sound Imaging, a PSG company, is redefining the future of medical imaging through innovative, cloud-based technology. The Automation Engineer will be responsible for building the technical foundation of the customer experience organization by identifying manual processes and engineering automated solutions to enhance efficiency and customer self-sufficiency.
Responsibilities:
• Partner with the Customer Success and Support teams to identify manual processes and build automated replacements that are reliable and easy to maintain.
• A consolidated dashboard showing account health, support queue status, onboarding stage, and renewal risk.
• Alerting logic that routes the right signal to the right person with a recommended next action.
• Account briefings that give the success team context before engaging a flagged customer.
• Connect data sources through APIs so that customer’s information flows across the organization without manual data entry or duplication.
• A unified account view joining product usage, support history, and billing data.
• Real-time sync between the support platform and implementation tracking.
• Contribute to customer-facing tools and monitoring systems that surface early warning signals from usage and support data.
• A self-service portal where administrators can run configuration changes and pull usage reports independently.
• An automated assistant grounded in product documentation and support history that resolves common technical queries without human escalation.
• A risk identification system that surfaces at-risk accounts before the renewal window, drawing on usage, support, and billing signals.
Qualifications:
Required:
• A degree in Computer Science, Information Systems, Engineering, or a related field — or equivalent hands-on experience.
• 1–3 years of experience writing and deploying scripts, automations, or integrations in a real environment (internships, freelance work, or personal projects count).
• Proficient in Python and SQL: with the ability to write queries, build basic scripts, and troubleshoot when something breaks.
• Experience connecting to APIs and working with external data sources.
• Eagerness to own projects end-to-end and see them through production.
Company:
More than a PACS, the Studycast® system from Core Sound Imaging offers comprehensive imaging workflow on demand. Founded in 2007, the company is headquartered in Raleigh, USA, with a team of 51-200 employees. The company is currently Growth Stage.