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Data Annotation Labeling Jobs Medical Jobs (NOW HIRING)

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Data Annotation Specialist

Houston, TX

Perform high-precision 3D instance labeling, semantic segmentation, and bounding box annotation on multi-sensor data (LiDAR, Camera, Radar, etc.). * Vectorized Map Annotation: Annotate and edit high ...

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Data Annotation Labeling Jobs Medical information

What are some common challenges faced in medical data annotation labeling jobs, and how can they be addressed?

Medical data annotation labeling roles often involve interpreting complex medical imagery or records, which can be challenging due to the need for high accuracy and specialized knowledge. Ambiguities in images or terminology, as well as evolving annotation guidelines, can also pose difficulties. These challenges are typically addressed through comprehensive training, regular feedback from clinical experts, and collaboration with team members to ensure consistency. Many organizations also use quality assurance processes to minimize errors and provide ongoing support for annotators.

What are the key skills and qualifications needed to thrive as a Data Annotation Labeling Specialist in the medical field, and why are they important?

To thrive as a Data Annotation Labeling Specialist in the medical field, you need a strong attention to detail, familiarity with basic medical terminology, and often a background in health sciences or related fields. Proficiency with annotation tools, image labeling software, and sometimes experience with EHR systems or HIPAA compliance training is typically required. Excellent communication, time management, and the ability to work independently are crucial soft skills for this role. These competencies ensure that labeled data is accurate, consistent, and useful for training effective medical AI systems or supporting clinical research.

What are Data Annotation Labeling Jobs in the medical field?

Data annotation labeling jobs in the medical field involve tagging, categorizing, and labeling medical data such as images, text, or audio. These annotations help train artificial intelligence (AI) and machine learning (ML) models for tasks like disease detection, diagnostics, and medical research. Annotators may work with X-rays, MRI scans, pathology slides, or patient records, ensuring the data is accurately labeled according to specific guidelines. This work is essential for developing reliable AI tools that assist healthcare professionals in decision-making and patient care.

What is the difference between Data Annotation Labeling Jobs Medical vs Medical Transcriptionist?

AspectData Annotation Labeling Jobs MedicalMedical Transcriptionist
Required CredentialsBasic computer skills, training in medical terminologyMedical degree or certification, transcription training
Work EnvironmentRemote or office-based, using annotation toolsRemote or clinical setting, listening and transcribing audio
Industry UsageAI training, healthcare data labelingMedical record documentation, patient reports
Search & Comparison IntentJobs involving medical data annotationJobs involving medical transcription

Data Annotation Labeling Jobs Medical and Medical Transcriptionist roles both serve the healthcare industry but differ in tasks and skills. Annotation jobs focus on labeling medical data for AI, requiring technical skills, while transcription involves converting audio to text, often needing medical certification. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

Infographic showing various Data Annotation Labeling Jobs Medical job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, 17% Part Time, and 50% Contract. Highlights an 83% In-person, and 17% Remote job distribution.

AI Training Specialist (Data Annotation)

Remote Talent Cloud

Houston, TX • Remote

$20/hr

Full-time, Part-time

Posted 14 days ago

Job description

As an AI Training Specialist (Data Annotation), you’ll play a key role in helping train and improve artificial intelligence (AI) systems. Your work will directly support how AI models learn to recognize text, images, and other data accurately.

Your main responsibilities will include:

  • Labeling and categorizing data (such as text, images, or short videos) according to detailed project guidelines
  • Reviewing and verifying data for accuracy, consistency, and completeness
  • Identifying and flagging any errors, inconsistencies, or unclear data
  • Following clear annotation instructions to ensure high-quality results
  • Meeting productivity and accuracy goals within project timelines
  • Maintaining confidentiality and adhering to all data security standards

Requirements

We’re looking for detail-oriented individuals who are comfortable working independently and enjoy structured, accuracy-focused tasks. The ideal candidate will have:

  • This is a fully remote position, but you must be located within the United States
  • Excellent attention to detail and strong organizational skills
  • A reliable Internet connection and computer
  • The ability to focus for extended periods and follow detailed written instructions
  • Strong written communication skills in English
  • Previous data annotation, labeling, or transcription experience is a plus, but not required

Benefits

  • Fully remote: work from anywhere within the United States
  • Full-time and part-time available
  • Competitive hourly pay from $20/hr
  • Training provided for all annotation tools and workflows
  • Gain hands-on experience supporting real-world AI training projects
  • Be part of a growing remote team working on cutting-edge technology