ZipRecruiter

Log In

1

Data Annotation Labeling Jobs Medical Jobs (NOW HIRING)

Mercor

Network Engineer - Data Annotation

New York, NY · Remote

$50 - $70/hr

Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation ... Label and classify key behaviors, issues, and anomalies in network data. * Help define schemas and ...

Icon Consultants

Be Seen First

Data Annotator (Autonomous Vehicle / AI)

San Francisco, CA · On-site

$32 - $39/hr

The ideal candidate is detail-oriented, technically proficient in 2D and 3D annotation, and understands the importance of precision in data labeling for real-world applications. Key Responsibilities

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... structured labelling tasks * Demonstrated ability to engage effectively with both technical ...

RWS Group

$120K - $140K/yr

Oversee complex workstreams including annotation, labeling, linguistic validation, data operations, and ML pipeline support. * Implement governance frameworks, dashboards, and delivery controls that ...

next page

Showing results 1-20

All JobsData Annotation Labeling Jobs Medical Jobs

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.

Network Engineer - Data Annotation

Mercor

New York, NY • Remote

$50 - $70/hr

Full-time

Posted 15 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week

Role Responsibilities

  • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
  • Label and classify key behaviors, issues, and anomalies in network data.
  • Help define schemas and structure for large-scale data pipelines.
  • Interface directly with the client team to ensure data quality and relevance.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
  • Comfort with interpreting logs, events, and time-series metrics.
  • Curiosity about how raw infrastructure data becomes machine learning input.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.