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Commission Medical Data Annotation Jobs in Missouri

Augmodo

Software Engineer - CV Tooling

California, MO · On-site

$150 - $190/hr

Data Curation & Annotation Systems: Build robust internal QC, mapping, and annotation platforms ... Augmodo offers benefits inclusive of medical, dental, vision, and 401k. The salary range for this ...

Socket Fiber

GIS Analyst

Columbia, MO · On-site

Throughout the day, you'll analyze GIS data, review OSP designs, perform feasibility and cost ... Competitive pay + bonus potential or performance-based commission * Medical, dental, vision, life ...

Socket Telecom LLC

GIS Analyst

Columbia, MO · On-site

Throughout the day, you'll analyze GIS data, review OSP designs, perform feasibility and cost ... Competitive pay + bonus potential or performance-based commission * Medical, dental, vision, life ...

Socket Telecom LLC

GIS Analyst

Columbia, MO

Throughout the day, you'll analyze GIS data, review OSP designs, perform feasibility and cost ... Competitive pay + bonus potential or performance-based commission * Medical, dental, vision, life ...

Socket Fiber

Strategic Account Manager

Columbia, MO · On-site

Present telecommunications solutions including internet, voice, data, and fiber services * Prepare ... Competitive pay + performance-based commission * Medical, dental, vision, life, and 401k with match

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All JobsMedical Data Annotation JobsCommission Medical Data Annotation JobsCommission Medical Data Annotation Jobs in Missouri

Commission Medical Data Annotation information

What is a commission medical data annotation?

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.

What are the key skills and qualifications needed to thrive as a commission medical data annotation specialist?

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 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.

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.

What are the most commonly searched types of Medical Data Annotation jobs in Missouri?

The most popular types of Medical Data Annotation jobs in Missouri are:

What are popular job titles related to Commission Medical Data Annotation jobs in Missouri?

For Commission Medical Data Annotation jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Commission Medical Data Annotation jobs in Missouri look for?

The top searched job categories for Commission Medical Data Annotation jobs in Missouri are:

What cities in Missouri are hiring for Commission Medical Data Annotation jobs?

Cities in Missouri with the most Commission Medical Data Annotation job openings:

Commission Medical Data Annotation jobs near you
Infographic showing various Commission Medical Data Annotation job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Software Engineer - CV Tooling

California, MO • On-site

Augmodo
See more jobs at Augmodoexternal

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Augmodo is building the \"operating system for the physical shelf\" using spatial computing and wearable AI. We provide real-time, store-level insights that were previously impossible to capture. We are moving fast, and we need an applied engineer who combines real Computer Vision expertise with high-velocity front-end tooling to make complex spatial data instantly intuitive and highly actionable.

The Challenge

We are looking for a Software Engineer to own the end-to-end user interfaces, active learning agents, and visual tooling powering our Spatial Platform. This is not just a front-end tools role—it requires a real Computer Vision background. You will leverage your experience building and deploying shippable CV models to build pre-labeling agents, custom models for active learning, functional editors, and model-training environments.

Because you understand what it takes to train production-grade ML models, you know that high-quality data is everything. You will apply that knowledge directly to building optimized, intelligent annotation and curation tools for our internal researchers, algorithms, and external clients.

Key Responsibilities

  • Applied CV for Tooling & Automation: Train and integrate lightweight, custom CV models, active learning workflows, and pre-labeling agents specifically designed to accelerate human annotation and data quality control.

  • Data Curation & Annotation Systems: Build robust internal QC, mapping, and annotation platforms (akin to autonomous vehicle curation pipelines) backed by an intimate understanding of CV data quality and edge cases.

  • Spatial & Planogram Interfaces: Design high-performance front-end interfaces that map raw product images and computer vision metadata directly to physical coordinates on digital retail planograms.

  • High-Velocity Iteration: Build functional editors, POCs, and pre-labeling pipelines rapidly to support active model development. We value high agency—shipping high-quality features in days, not months.

  • Consumer-Facing Simplicity: Translate complex, multi-layered spatial and ML outputs into simple, intuitive visual workflows for non-technical users.

Basic Requirements

  • Computer Vision Background: Hands-on experience building, training, and deploying real-world CV models to production. You understand end-to-end model lifecycles and know what \"high-quality data\" actually looks like.

  • Full-Stack Tooling: Strong expertise in React and TypeScript for interactive front-end tools, combined with deep capability in Python (PyTorch/TensorFlow, OpenCV) for the backend model integration.

  • Tooling & Human-in-the-Loop (HITL) Focus: Demonstrated track record building functional editors, canvas-based systems, active learning loops, or annotation tools powered by embedded ML/CV.

  • Bias for Action: High-velocity execution style. You are action-oriented, love leveraging modern AI tools (Cursor, Copilot, etc.), and prioritize getting working tools into researchers' hands fast.

Bonus Points

  • Autonomous Systems / Spatial Data: Prior experience in self-driving data curation pipelines, spatial mapping, LIDAR, or 3D bounding workflows.

  • Retail/Logistics Domain: Experience handling SKUs, physical inventory maps, visual shelf data, or complex product catalogs.

  • 3D/Spatial Web Tech: Familiarity with Three.js, WebGL, or GIS libraries for rendering spatial metadata.

Augmodo offers benefits inclusive of medical, dental, vision, and 401k. The salary range for this role is $150,000 USD - $190,000 USD +equity

Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

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