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Commission Medical Data Annotation Jobs (NOW HIRING)

Innodata Inc.

$55 - $60/hr

As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the ... To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

... to data annotation platforms or quality management frameworks; experience coaching or managing operational teams Why Encord * Competitive salary, commission, and meaningful equity in a high-growth ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

... to data annotation platforms or quality management frameworks; experience coaching or managing operational teams Why Encord * Competitive salary, commission, and meaningful equity in a high-growth ...

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Commission Medical Data Annotation information

What are some common challenges faced in a Commission Medical Data Annotation role and how can they be addressed?

In a Commission Medical Data Annotation role, professionals often encounter challenges such as interpreting complex medical terminology, ensuring consistency in labeling, and maintaining high accuracy under tight deadlines. To address these, it is helpful to regularly reference standardized guidelines, participate in team reviews or audits, and seek clarification from medical experts when needed. Collaborating with peers and utilizing annotation tools efficiently can also help streamline the process and minimize errors, ensuring both quality and productivity.

Is medical data annotation legit?

Medical data annotation is a legitimate job that involves labeling medical images, texts, or recordings to help train AI algorithms for healthcare applications. It typically requires attention to detail and knowledge of medical terminology, and many companies offer remote opportunities with clear guidelines. However, job seekers should verify the company's credibility before applying to avoid scams.

How much does data annotation actually pay?

Commission medical data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Pay rates can vary based on experience, accuracy, and the platform used, with some roles offering project-based or piece-rate compensation. Many positions require attention to detail and familiarity with annotation tools, and pay may increase with skill level and certification.

What is the difference between Commission Medical Data Annotation vs Medical Data Labeler?

AspectCommission Medical Data AnnotationMedical Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, tech-focusedRemote or office-based, tech-focused
Industry UsageUsed in AI training for healthcare applicationsUsed in AI training for healthcare applications
Search IntentComparison of roles in medical data annotationComparison of roles in medical data annotation

Both roles involve labeling medical data to train AI systems, often requiring similar skills and work environments. The main difference lies in the scope: Commission Medical Data Annotation may involve more specialized tasks or higher-level responsibilities, whereas Medical Data Labeler typically refers to the basic task of data labeling. Understanding these distinctions helps job seekers identify roles aligned with their skills and career goals.

How hard is it to get hired by data annotation?

Getting hired as a medical data annotation specialist generally requires attention to detail, basic computer skills, and familiarity with medical terminology. Many positions are entry-level and may not require prior experience, but strong accuracy and the ability to follow guidelines are important. The hiring process often involves a skills assessment or sample annotation task.

What are the key skills and qualifications needed to thrive as a Commission Medical Data Annotation Specialist, and why are they important?

To thrive as a Commission Medical Data Annotation Specialist, you need a solid understanding of medical terminology, data annotation techniques, and attention to detail, often with a background in life sciences or healthcare. Familiarity with annotation platforms, data labeling tools, and compliance standards such as HIPAA is typically required. Strong analytical skills, meticulousness, and effective communication make someone stand out in this position. These skills are crucial for ensuring high-quality, accurate data that supports reliable AI and research outcomes in medical applications.

What are commission medical data annotation jobs?

Commission medical data annotation jobs involve labeling and categorizing medical data—such as images, clinical notes, or audio recordings—for use in training machine learning models in healthcare. Workers are typically paid based on the amount of data they accurately annotate, rather than an hourly wage. Tasks may include identifying diseases in medical images, transcribing doctor notes, or classifying medical records. These jobs are critical for developing reliable artificial intelligence systems in medicine, supporting applications like diagnostics, treatment planning, and research. Attention to detail, understanding of medical terminology, and adherence to privacy standards are essential in these roles.

How much does data annotation pay physicians?

Physicians typically do not perform data annotation; however, if involved in medical data annotation roles, pay can range from $15 to $50 per hour depending on experience, complexity of the data, and the employer. These roles often require medical knowledge and attention to detail, with some positions offering project-based or freelance compensation.
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Commission Medical Data Annotation jobs near you
Infographic showing various Commission Medical Data Annotation job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 32% Full Time, 30% Part Time, 33% Contract, 2% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution.
Data & Annotation Engineer

Data & Annotation Engineer

Innodata Inc.

On-site, Remote

$55 - $60/hr

Full-time

Posted 7 days ago

Innodata rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

150th of 209 rated software companies

Job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
About the Program:
Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities.
About the Role:
As the Data/Annotation Engineer, you'll be hands-on with the data itself. You'll administer the annotation toolchain, manage annotation workflows across the corpus, and produce the per-dataset documentation that feeds our governance framework. You'll work with the AI Solutions Engineer to ensure the data going into our models is accurate, well-labeled, and fully traceable. This role is for someone detail-obsessed who understands that great AI starts with disciplined, well-governed data.
Key Responsibilities:
  • Receive, validate, ingest, and ontology-map the ODIN mission-aligned corpus from AFS delivery
  • Produce the ODIN load report: corpus description, ontology mapping, readiness state
  • Configure CVAT annotation pipeline against the Phase 1 starter kit rule pack
  • Operate both self-service and lightweight white-glove annotation paths during Phase D corpus production
  • Produce 50-100 label demonstration corpus across synthetic and mission-aligned content
  • Support QA/Evaluation Lead on QC execution and corpus annotation dry-runs
  • Associate DataCard provenance records with annotated and synthetic outputs in coordination with the Solution Architect

Must-Have Qualifications:
  • Bachelor's degree in Data Science, Computer Science, or related field preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
  • 5+ years total professional experience, 3+ years in data engineering or annotation operations
  • CVAT - deployment and day-to-day operation required; this is not a nice-to-have
  • Annotated dataset ingest pipelines: schema mapping, format validation, ontology alignment
  • Full-motion video (FMV) annotation concepts and tooling
  • Python scripting for data wrangling, validation, and format conversion
  • Active Secret clearance with TS/SCI eligibility

Nice-to-Have Qualifications:
  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis
  • CVAT annotation platform - AI feature configuration and operation
  • DoD or IC data program experience: CUI, distribution statements, federal data governance
  • Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
  • Video understanding or FMV annotation experience
  • DataCard or ML data provenance framework familiarity

The expected hourly salary range for this position is $55 to $60 p/hour, based on experience, skills, and qualifications.
Note to Candidates:
Phase D corpus production (Weeks 17-19) is the core demonstration deliverable for the program's largest payment milestone ($131,250). Candidates must be genuinely comfortable operating CVAT at production quality against a mission dataset under a milestone deadline
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you've been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

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