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Remote Monitoring Evaluation Learning Jobs (NOW HIRING)

RAPID EAGLE INC

AWS Healthcare Data Engineer

Charlotte, NC · Remote

$55 - $70/hr

  • Medical

  • Dental

  • Retirement

Implement LLMOps for deployment, monitoring, evaluation, and model lifecycle management. * Develop ... Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language Processing ...

Rapid Eagle Inc

AWS Healthcare Data Engineer

$55 - $70/hr

  • Medical

  • Dental

  • Retirement

Implement LLMOps for deployment, monitoring, evaluation, and model lifecycle management. * Develop ... Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language Processing ...

Circadia Health

Physician - Part-Time (Tennessee)

$200/hr

Your primary responsibilities will include overseeing the Nurse Practitioners evaluating the ... Oversee the quality assurance of remote monitoring processes, identifying opportunities for ...

RAPID EAGLE INC

AWS Healthcare Data Engineer

Charlotte, NC · Remote

$55 - $70/hr

Implement LLMOps for deployment, monitoring, evaluation, and model lifecycle management. * Develop ... Python * Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language ...

RAPID EAGLE INC

AWS Healthcare Data Engineer

Charlotte, NC · Remote

$55 - $70/hr

Implement LLMOps for deployment, monitoring, evaluation, and model lifecycle management. * Develop ... Python * Machine Learning Engineering (MLE) * LLMOps * Databricks * AWS * SQL * Natural Language ...

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Remote Monitoring Evaluation Learning information

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$32.5K

$63.8K

$99.5K

How much do remote monitoring evaluation learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote monitoring evaluation learning in the United States is $63,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $75,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Monitoring Evaluation Learning vs Remote Data Analyst?

AspectRemote Monitoring Evaluation LearningRemote Data Analyst
Primary FocusMonitoring, evaluating, and learning from programs or projects to improve outcomesAnalyzing data sets to identify trends, generate reports, and support decision-making
Required SkillsMonitoring tools, evaluation methodologies, learning frameworks, data collectionStatistical analysis, data visualization, database management, programming skills
Work EnvironmentFieldwork, program sites, remote collaboration with teamsOffice or remote, primarily computer-based work
Common CertificationsMonitoring and Evaluation (M&E) certifications, learning frameworksData analysis certifications, statistical software training

Remote Monitoring Evaluation Learning professionals focus on assessing program performance and fostering continuous improvement through evaluation and learning. In contrast, Remote Data Analysts primarily analyze data to support strategic decisions. While both roles require data skills, M&E emphasizes evaluation methodologies and learning frameworks, whereas Data Analysts focus on statistical analysis and data management.

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Remote Monitoring Evaluation Learning jobs near you
Infographic showing various Remote Monitoring Evaluation Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $63,781 per year, or $30.7 per hour.

Applied Research Scientist, Clinical AI

RhythmScience Inc.

Remote

Full-time

Posted 22 days ago

Job description

Applied Research Scientist, Clinical AI
Remote US - significant overlap with PST hours | Full-Time Employee | Engineering
RhythmScience Inc.
We believe that healthcare should be proactive, not reactive. Research shows that continuous remote monitoring can reduce hospital visits and improve patient survival rates by over 50%. Our solutions ensure that cardiac patients receive timely care, minimizing risks and enhancing quality of life.
Role Overview
We are entering an exciting phase of growth and heavily leaning into clinical AI for our H2 roadmap. As an Applied Research Scientist, Clinical AI, you will own the dedicated machine learning depth required to scale our AI Data Viz, AI Report Builder and Heart Failure AI features.
Reporting directly to the Head of Engineering, you won't just build models in isolation - you will own model quality, evaluation, and prediction deployment. You will turn complex cardiac data into the real-world population-outcomes reporting our customers are asking for, bringing velocity and rigor to our engineering organization. This is a US-remote position with close, asynchronous collaboration across US time zones
Key Responsibilities
  • Design & Deploy Rigorous Evaluations: Define clinical "correctness" for ML outputs and catch critical clinical errors beyond basic average accuracy so that our features are fundamentally safe for patient data
  • Ship Production Models: Take models completely from experimental notebooks to live, working services integrated with our RS360 backend application
  • Build Population Analytics: Develop cohort and outcome analytics from messy, patient-level monitoring data, accurately accounting for confounders
  • Measure & Iterate Quality: Establish historical backtesting against human-written notes to build trust with internal engineering, product, and clinical teams
  • Protect Patient Privacy Handle Protected Health Information (PHI) safely, striking the optimal balance between data utility and compliance privacy tradeoffs

Required Skills & Qualifications
  • Core Tech Stack: Advanced proficiency in Python, PyTorch (or equivalent framework) and SQL
  • Domain Expertise: Demonstrated experience building and deploying clinical or biomedical ML models (using EHR, time-series, sensor, or imaging data)
  • Data Fluency: Deep comfort dealing with real-world, messy, sparse or weakly labeled device data
  • Evaluation Integrity: Strong grasp of ML evaluation methodologies, including data leakage prevention and customized metric design
  • Communication: Exceptional written communication skills to thrive and exert technical influence across our remote, asynchronous team
  • Advanced degree in related field

Compensation Details:
The salary for this position is currently being benchmarked, but will include an annual salary, plus bonus, equity ownership opportunity, and benefits. In determining your salary, we will consider your location, experience, and other job-related factors.
RhythmScience is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance.
About US
RhythmScience is revolutionizing virtual cardiac care by developing advanced remote monitoring solutions for hypertension, heart failure, and rhythm management. Our mission is to enhance patient outcomes by enabling seamless collaboration between clinicians and patients through cutting-edge healthcare technology.
Our Rhythm360 platform serves as a comprehensive gateway for cardiology care, integrating real-time remote monitoring, standardized reporting, and streamlined workflows. By leveraging implanted and external cardiac devices, we provide healthcare teams with actionable data to improve patient management. We are committed to ensuring that clinicians have the tools they need to make informed, timely decisions that can prevent hospitalizations and improve lives.
Learn more about us here: https://www.rhythm360.io/

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