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Freelance 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 ...

micro1 AI

AI Trainer - Microbiology Expert

Columbia, MO · Remote

$70 - $90/hr

... medical microbiology. * Assess the impact of antibiotics and other agents on microbial populations ... Document experimental findings and processes with a focus on clarity for AI training data.

BGBx

VP, Associate Creative Director, Art

Kansas City, MO · On-site

$170K - $200K/yr

... data experts to tackle some of healthcare's most important challenges. Our teams work across ... Recommends and directs freelance contributors * Engages in any personal development necessary to ...

New

Jobgether

You'll combine creative judgment with performance data to identify what to scale, iterate, or stop ... You'll collaborate with designers, developers, freelance creatives, agencies, and marketing teams ...

BJC

Neurodiagnostic Technologist II

Saint Louis, MO · On-site

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 ...

BJC

Neurodiagnostic Technologist III

Saint Louis, MO · On-site

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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Freelance Medical Data Annotation information

What is freelance medical data annotation?

Freelance medical data annotation involves labeling or tagging medical data—such as images, text, or audio—to make it usable for artificial intelligence and machine learning models. Annotators may work with radiology images, pathology slides, electronic health records, or clinical notes, identifying and marking relevant features according to specific guidelines. This work is typically project-based and done remotely, requiring attention to detail and, often, some background in healthcare or life sciences. Freelancers collaborate directly with medical researchers, healthcare companies, or AI firms to help train and validate algorithms that improve medical diagnostics and research.

What are the key skills and qualifications needed to thrive as a freelance medical data annotator?

To thrive as a Freelance Medical Data Annotator, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling or annotation, often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, electronic health record (EHR) systems, and relevant data security standards is typically required. Strong organizational skills, self-motivation, and clear communication are important soft skills for meeting deadlines and collaborating remotely. These abilities ensure high-quality, accurate data annotations that are crucial for developing reliable healthcare AI models and research outcomes.

What are some common challenges faced by freelance medical data annotators and how can they be managed?

Freelance medical data annotators often encounter challenges such as understanding complex medical terminology, ensuring high annotation accuracy, and maintaining data privacy. Since projects may involve a variety of medical data types (like radiology images or clinical notes), it's important to stay updated on medical guidelines and annotation best practices. Effective time management, attention to detail, and regular communication with project managers or medical experts can help address these challenges and ensure quality work. Additionally, using secure platforms and adhering to confidentiality agreements is essential for protecting patient information.

What is the difference between Freelance Medical Data Annotation vs Freelance Medical Transcription?

AspectFreelance Medical Data AnnotationFreelance Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology familiarity, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, data labeling for healthcareTranscribing doctor-patient recordings
Search & Comparison IntentData labeling vs transcription tasks

Freelance Medical Data Annotation involves labeling and tagging medical images or data for AI models, requiring medical knowledge and attention to detail. Freelance Medical Transcription focuses on converting audio recordings into written reports, emphasizing typing skills and medical terminology familiarity. Both roles are remote and essential in healthcare, but they serve different purposes in medical data processing and documentation.

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 Freelance Medical Data Annotation jobs in Missouri?

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

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

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

Freelance Medical Data Annotation jobs near you

Software Engineer - CV Tooling

Augmodo

California, MO • On-site

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement

Posted 4 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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