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Remote Medical Data Annotation Jobs in Boone, NC

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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 popular job titles related to Remote Medical Data Annotation jobs in Boone, NC?

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

What cities near Boone, NC are hiring for Remote Medical Data Annotation jobs?

Cities near Boone, NC with the most Remote Medical Data Annotation job openings:

Remote Medical Data Annotation jobs near you

Manager - Data Science

Westinghouse Electric Company, LLC

Cranberry, NC • Remote

$130K - $163K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.

About the role:

As a Manager - Data Science, you will lead an international team. This team consists of data scientists and machine learning practitioners responsible for developing, experimenting with, deploying, and benchmarking AI/ML models. Additionally, they will work on prompt-engineered solutions embedded into Westinghouse digital products. You will work with Westinghouse leaders to understand business and product need to support main themes such as Asset Management, Work Management, and Business Process Optimization. Identify critical skill needs and address gaps to ensure the necessary capabilities-spanning classical ML, deep learning, and generative AI-are available to help develop scalable, production-grade model solutions.

You will report to the Director, AI Data Infrastructure and work remotely.

Key Responsibilities:
  • Engage with the Digital and Innovation (D&I) leaders to promote the D&I vision. This vision drives global Westinghouse and industry modernization. To achieve this, provide input and accomplish the digital roadmap. The roadmap aims to improve the position of Westinghouse and our customers relative to safety, profitable growth, and process efficiency.
  • Assume responsibility for the success of model development, experimentation, deployment, quality assurance, and prompt engineering practices allowing Westinghouse digital solutions.

We will achieve this responsibility through:

  • Lead the data science team in developing, evaluating, and deploying AI/ML models and generative AI solutions. These solutions address customer needs across multiple use cases. Ensure models are production-ready, benchmarked against clear performance criteria, and embedded into digital solutions.
  • Train team members responsible for model deployment and monitoring in production. Establish best practices for experimentation, model validation, reproducibility, versioning, and responsible AI according to Westinghouse Information Technology and the AI Architecture team.
Qualifications:
  • A data science, machine learning, or applied AI management background leading international team members
  • Familiarity with the nuclear and energy industries
  • Experience with model development, experimentation frameworks, MLOps practices, and 3rd party AI/ML platforms and foundation models
  • B.S. degree in business management, computer science, data science, industrial engineering, statistics or equivalent
  • 10+ years of experience in business, operations or consultation services with progression and complexity
  • Microsoft Certified: Azure Data Engineer Associate helpful Microsoft Certified: Azure Database Administrator Associate helpful

We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $130,400 to $163,000 per year.

#LI-Remote

Why Westinghouse?

Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:

  • Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options

  • Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members

  • 401(k) with Company Match Contributions to support employees' retirement

  • Paid Vacations and Company Holidays

  • Opportunities for Flexible Work Arrangements to promote work-life balance

  • Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers

  • Global Recognition and Service Programs to celebrate employee accomplishments and service

  • Employee Referral Program

Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:

  • Safety and Quality

  • Integrity and Trust

  • Customer Focus and Innovation

  • Speed and Passion to Win

  • Teamwork and Accountability

While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.

Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities

Get connected with Westinghouse on social media: Twitter | Facebook | LinkedIn| YouTube

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