ZipRecruiter

Log In

2

Remote Telemetry Monitoring Jobs in Baltimore, MD

All JobsTelemetry Monitoring JobsRemote Telemetry Monitoring JobsRemote Telemetry Monitoring Jobs in Baltimore, MD

Remote Telemetry Monitoring information

See Baltimore, MD salary details

$13

$22

$43

How much do remote telemetry monitoring jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote telemetry monitoring in Baltimore, MD is $22.15, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 per hour, depending on experience, location, and employer.

What is remote telemetry monitoring?

A Remote Telemetry Monitoring job involves overseeing and analyzing data from patients, machines, or systems remotely using telemetry technology. In healthcare, this typically includes monitoring patients’ vital signs and alerting medical staff to critical changes. In other industries, such as energy or telecommunications, it involves tracking equipment performance and detecting faults in real time. The role requires strong analytical skills, attention to detail, and proficiency with monitoring software. It ensures the safety, efficiency, and optimal functioning of the monitored subjects.

What does a typical day look like for someone working in remote telemetry monitoring?

A typical day in Remote Telemetry Monitoring involves continuously observing patient data streams, analyzing vital signs for irregularities, and promptly alerting clinical teams to any significant changes. You’ll spend much of your time using specialized software to monitor multiple patients, documenting findings, and collaborating remotely with on-site nurses and physicians. The role requires high concentration and the ability to prioritize tasks efficiently within a team-based or independent work environment. While it can be fast-paced, this position offers the rewarding challenge of making a direct impact on patient care from a remote location.

What are the key skills and qualifications needed to thrive in remote telemetry monitoring?

To excel in Remote Telemetry Monitoring, strong analytical abilities, attention to detail, and a background in healthcare or allied health fields are typically required. Familiarity with telemetry software, remote patient monitoring systems, and relevant certifications such as Basic Life Support (BLS) or Certified Telemetry Technician are highly valued. Excellent communication skills, critical thinking, and the ability to work independently make candidates stand out in this position. These skills are essential for accurately interpreting data, promptly identifying abnormalities, and ensuring patient safety in a remote setting.

What are popular job titles related to Remote Telemetry Monitoring jobs in Baltimore, MD? For Remote Telemetry Monitoring jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Telemetry Monitoring jobs in Baltimore, MD look for? The top searched job categories for Remote Telemetry Monitoring jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Telemetry Monitoring jobs? Cities near Baltimore, MD with the most Remote Telemetry Monitoring job openings:
Remote Telemetry Monitoring jobs near you
Infographic showing various Remote Telemetry Monitoring job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $46,066 per year, or $22.1 per hour.

Senior Software Engineer Applied AI

Advanced Monitored Caregiving Inc.

Annapolis, MD • Remote

$121K - $159K/yr

Full-time

Posted 25 days ago

Job description

Senior Software Engineer: Applied AI (Voice Agents & ML Systems)

AMC Health · Remote (US) · Full-time

The pitch

We build and operate production AI voice agents that hold real phone conversations in a regulated healthcare setting, plus the machine learning and LLM pipelines around them. This is one seat that spans four disciplines that rarely come together: real-time systems, LLM engineering, traditional machine learning, and serious cloud infrastructure, all in production, all with real consequences. If you are the kind of engineer who gets restless doing one thing, this role is the opposite problem.

What you'll work across

Real-time voice AI

  • Streaming, low-latency speech-to-speech systems built on modern LLMs
  • Telephony and real-time media (call control, live audio streaming)
  • Audio handling and the quirks of real human conversation (interruptions, timing, noise)
  • Concurrency on a latency-sensitive path, where p99 matters and a stall is something a caller hears

LLM engineering

  • Wrapping nondeterministic models in deterministic control so they behave reliably in production
  • Multi-model pipelines, prompt design, and cost/latency budgeting
  • Evaluation harnesses, including LLM-as-judge and automated agent-tests-agent approaches
  • Agentic tooling that gives AI systems safe, structured access to infrastructure

Traditional (non-LLM) machine learning

  • End-to-end ML pipelines: feature engineering, model training, and scheduled inference
  • Imbalanced, messy real-world data; calibration and explainability for non-technical consumers
  • Turning research notebooks into reproducible, auditable production pipelines

Cloud and infrastructure

  • Infrastructure as code across multiple environments (we run on AWS)
  • Managed compute, data, streaming, and orchestration services
  • Security engineering in a regulated setting: encryption, least-privilege access, strict data-handling discipline
  • Observability and telemetry-driven debugging, tracing a production issue from a metric anomaly to root cause

Plus occasional full-stack work on internal tools, and an engineering workflow that leans heavily on AI coding assistants, with human accountability for every change.

What you'll actually do

  • Ship and debug code on a live, real-time voice pipeline where latency and correctness are user-facing
  • Design control systems around LLMs: guardrails, budgets, watchdogs, safe fallbacks
  • Build and operate LLM evaluation and batch-analysis pipelines
  • Own traditional ML workflows from data to scheduled production inference
  • Trace production issues from a metric anomaly to root cause, including building the evidence when the cause is a vendor

Must-haves

  • 7+ years building and operating production backend systems, with strong general-purpose programming skills (we work primarily in Python)
  • Experience running distributed systems in the cloud; comfortable debugging from telemetry to root cause
  • Hands-on production experience with LLMs or generative AI (any provider or framework), plus the judgment to know when not to use a model
  • Working fluency across the traditional machine learning lifecycle (you productionize; you do not need to publish)
  • Disciplined in a regulated environment: small, reviewable changes and careful handling of sensitive data

Nice-to-haves

  • Real-time media or telephony experience
  • Front-end / full-stack ability
  • ML pipeline experience, vector search, or embeddings
  • Fluency with AI coding assistants (our workflows assume them, with human accountability for every change)

How we work

Smallest correct change wins. Every behavior change is validated against the live system. Evidence over opinion in debugging. Code review is rigorous. Safety and privacy gate everything.

Work authorization (no exceptions)

This role is open only to US citizens and lawful permanent residents (Green Card holders). We cannot consider candidates who require visa sponsorship now or in the future, and we are unable to make exceptions of any kind.

How to apply

Please submit both of the following:

  • Your LinkedIn profile URL
  • A phone number where we can reach you

A resume is welcome but optional; the two items above are required.

Apply