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Telecommute Medical Data Annotation Jobs in Missouri

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 ...

None Telecommuting Options: Onsite Work Location: USA VA Springfield Additional Work Locations: USA ... Our benefits package for all US-based employees includes a variety of medical plan options, some ...

Yes Deliver insights to help our clients turn data into action as a PostgreSQL Database Architect ... None Telecommuting Options: Onsite Work Location: USA MO St. Louis Additional Work Locations: USA ...

Yes Deliver insights to help our clients turn data into action as a PostgreSQL Database Analyst at ... None Telecommuting Options: Onsite Work Location: USA VA Springfield Additional Work Locations: USA ...

Performs annotation and clipping of long-term video EEG data independently (academic locations only ... Comprehensive medical, dental, vison, life insurance, and legal services available first day of the ...

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Telecommute Medical Data Annotation information

What is telecommute medical data annotation?

Telecommute medical data annotation is the process of labeling and categorizing medical data—such as images, text, or audio—from a remote location, typically from home. This work helps train artificial intelligence and machine learning models used in healthcare, such as diagnostic tools or automated medical record systems. Annotators might identify features in radiology images, tag medical terms in documents, or classify audio recordings of doctor-patient interactions. The job requires strong attention to detail and a good understanding of medical terminology. Working remotely, annotators use specialized software provided by employers to complete their tasks securely.

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

To thrive as a Telecommute Medical Data Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and experience in data labeling or healthcare-related fields. Familiarity with annotation platforms, EHR systems, and relevant compliance certifications like HIPAA are typically required. Strong organizational skills, self-motivation, and effective remote communication set individuals apart in this remote role. These competencies ensure precise, confidential, and efficient annotation of medical data, which is crucial for supporting AI development and maintaining data integrity.

What are some common challenges faced when working remotely as a medical data annotation specialist?

As a telecommute medical data annotation specialist, one common challenge is maintaining accuracy and consistency while labeling complex medical data, especially when interpreting clinical terminology or ambiguous imaging. Working remotely can also make it harder to quickly clarify doubts or seek feedback from colleagues or supervisors, so strong communication skills and proactive outreach are important. Additionally, staying updated with evolving annotation guidelines and managing distractions at home are key factors in ensuring high-quality work.

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 Telecommute Medical Data Annotation jobs in Missouri?

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

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

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

Infographic showing various Telecommute Medical Data Annotation job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Software Engineer - CV Tooling

California, MO • On-site

$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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