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Remote Telemetry Tech Jobs (NOW HIRING)

Dash0 Inc

Enterprise Solutions Engineer - US, Remote

$180K - $240K/yr

... cloud-native technologies. * Translate complex enterprise customer requirements into scalable ... Provide architecture guidance and best practices for observability setup, telemetry data modeling ...

Webbing

IoT Connectivity Account Executive (US)

York, NY · On-site +1

... telemetry to powering logistics visibility, remote monitoring, and mission-critical field systems ... technology alliances • Drive global go-to-market execution for IoT verticals and solutions • ...

Gnostech LLC

Software Engineer (US-Remote)

OR · On-site +1

... telemetry tools. Minimum Security Clearance * Must be eligible and pass security screening to ... Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or ...

Fuse Energy

Embedded Software Engineer (Remote)

$134K - $177K/yr

We combine first-principles thinking with cutting-edge technology to build a radically better ... Integrate devices with cloud IoT platforms and backend services, and improve telemetry, health ...

Hikinex

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Telemetry & Command Data Handling: • Experience with real-time and historical telemetry data ...

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How much do remote telemetry tech jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote telemetry tech in the United States is $22.29, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a remote telemetry tech?

Remote Telemetry Techs are healthcare professionals who monitor patients' vital signs and cardiac rhythms from a distance, typically using specialized telemetry equipment. They play a crucial role in identifying abnormal heart patterns and alerting medical staff to potential emergencies. Working remotely allows these techs to support hospitals and clinics by providing continuous, real-time monitoring of patients, often from a centralized or off-site location. Their expertise helps ensure patient safety and timely interventions, especially for those with cardiac conditions.

What are the key skills and qualifications needed to thrive as a remote telemetry tech?

To thrive as a Remote Telemetry Tech, you need a thorough understanding of cardiac rhythms, EKG interpretation, and patient monitoring, often backed by certification such as CCT or CRAT. Familiarity with telemetry monitoring systems, electronic health records, and communication platforms is vital for daily operations. Attention to detail, strong communication skills, and the ability to stay focused during long shifts distinguish top performers. These competencies ensure accurate patient monitoring, timely identification of critical changes, and effective collaboration with healthcare teams.

What are some common challenges faced by remote telemetry techs, and how can they be addressed?

Remote Telemetry Techs often encounter challenges like managing multiple patient data streams simultaneously and quickly identifying abnormal readings from a distance. Effective communication with on-site clinical teams is also crucial, as techs must relay urgent information promptly and accurately. To address these challenges, it is important to stay organized, regularly update monitoring protocols, and participate in ongoing training to stay current with technological advancements. Building strong relationships with hospital staff can further enhance collaboration and patient care.
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Remote Telemetry Tech jobs near you
Infographic showing various Remote Telemetry Tech job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 13% Part Time, 11% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $46,361 per year, or $22.3 per hour.

Enterprise Architect AI Platform & Generative AI (Mythos Foundation)

Imagine Staffing Technology

Buffalo, NY • Remote

$66.75 - $86.25/hr

Full-time

Re-posted 11 days ago

Job description

Job Title: Enterprise Architect – AI Platform & Generative AI (Mythos Foundation)
Location: Remote (Within USA)
Hire Type: Contract
Pay Range: Competitive Hourly Rate
Work Model: Remote with periodic travel to Buffalo, NY
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
 
NO C2C, NO sponsorship given at this time
 
Nature & Scope:
Positional Overview
Our client is seeking an experienced Enterprise Architect to lead the strategic architecture and evolution of its enterprise AI platform, known as Mythos. This role will define the future-state architecture, governance frameworks, standards, and reusable design patterns that enable scalable, secure, and responsible adoption of artificial intelligence across the organization.
The Enterprise Architect will serve as the architectural leader for enterprise AI initiatives, partnering closely with security, risk, data, infrastructure, platform engineering, and business stakeholders to establish a comprehensive AI platform strategy. This individual will be responsible for defining conceptual and logical architectures, developing enterprise roadmaps, and ensuring AI capabilities are aligned with business objectives, regulatory requirements, and operational needs.
This position is ideal for a senior architecture professional with deep experience in enterprise architecture, AI platforms, cloud technologies, governance frameworks, and emerging technology strategy.
 
Role & Responsibility:
Tasks That Will Lead To Your Success
Enterprise Architecture Leadership
  • Define and maintain the enterprise architecture vision, roadmap, and target-state design for the Mythos AI platform. 
  • Develop conceptual, logical, and high-level physical architecture patterns for enterprise AI adoption. 
  • Establish enterprise standards, governance models, and reusable architecture frameworks supporting AI capabilities. 
  • Collaborate with executive leadership and technology stakeholders to align AI strategy with business priorities. 
  • Communicate architecture vision, technology tradeoffs, and strategic recommendations to senior leadership. 
  • Participate in enterprise architecture governance and strategic planning initiatives.
AI Platform Strategy & Governance
  • Define architecture standards for model access, model lifecycle management, telemetry, observability, and AI governance. 
  • Establish enterprise guardrail frameworks supporting responsible AI adoption. 
  • Develop architectural controls addressing security, compliance, privacy, risk, and ethical AI considerations. 
  • Create decision frameworks supporting model selection and deployment strategies. 
  • Define fit-for-purpose guidelines balancing cost, performance, risk, latency, and business value. 
  • Drive the evolution of enterprise AI platform capabilities and adoption patterns.
Architecture Planning & Innovation
  • Research emerging technologies, AI platforms, and industry trends to identify opportunities for enterprise adoption. 
  • Develop architecture roadmaps that support long-term scalability and innovation. 
  • Partner with business and technology leaders to evaluate new platform capabilities and strategic initiatives. 
  • Promote reuse of enterprise services, platforms, and architecture patterns. 
  • Provide architectural guidance supporting future AI-enabled business solutions.
AI Telemetry & Observability
  • Define enterprise observability standards for AI systems and platforms. 
  • Establish architecture patterns supporting visibility into model behavior, usage, performance, and risk indicators. 
  • Develop governance frameworks for monitoring model activity and enforcing usage policies. 
  • Support architecture strategies for preventing misuse, bias, data leakage, and regulatory exposure.
Cross-Functional Leadership
  • Partner with security, risk, compliance, data, platform engineering, and application development teams. 
  • Provide architecture consultation and technical leadership across multiple initiatives. 
  • Support solution architects and engineering teams through architecture reviews and governance activities. 
  • Ensure architectural consistency across AI, cloud, infrastructure, and business application domains.
 
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related discipline. 
  • 7+ years of experience in Enterprise Architecture, Solution Architecture, or Technology Strategy. 
  • Experience developing enterprise architecture roadmaps and target-state architectures. 
  • Strong understanding of AI platforms, cloud technologies, and enterprise software architecture. 
  • Experience establishing governance, standards, and architecture frameworks. 
  • Knowledge of software engineering, application integration, and cloud-native architectures. 
  • Ability to communicate effectively with executive leadership and technical teams. 
  • Strong analytical, strategic planning, and decision-making skills.
Preferred Qualifications
  • Graduate degree in a technical or business discipline. 
  • Experience supporting Generative AI, LLM, or AI platform initiatives. 
  • Cloud certifications within Azure, AWS, or Google Cloud. 
  • Enterprise Architecture certifications (TOGAF or equivalent). 
  • Experience working within highly regulated industries. 
  • Financial services experience preferred. 
  • Familiarity with AI governance, responsible AI, and model risk frameworks.
 
Team & Environment
  • Partners with executive leadership, enterprise architecture, security, risk, and engineering teams.