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Remote Nursing Simulation Jobs (NOW HIRING)

Kaplan, Inc.

Regional Health Programs Sales Director

$31K - $78K/yr

... Nursing, Allied Health programs and/or Hospital Systems The Regional Health Program Sales Director ... Presents Kaplan health resources and simulations to prospective new customers in a compelling ...

Nebraska Medicine

Dosimetrist - Proton

Omaha, NE · On-site +1

This specific position will work Remote / Hybrid Or from the Fred & Pamela Buffett Cancer Center ... VMAT Planning Experience Preferred We partner with our physicians, nurses and other hospital staff ...

CommonSpirit Health

$52.27 - $86.25/hr

Job Summary and Responsibilities This is a remote position. We are seeking a strategic, hands-on ... CommonSpirit has more than 157,000 employees, 45,000 nurses and 25,000 physicians and advanced ...

CenterWell Primary Care

Senior BI Engineer

Charleston, SC · On-site +1

$99K - $136K/yr

Expertise in data mining, forecasting, simulation, and predictive modeling. * Experience creating ... While this is a remote position, occasional travel to Humana's offices for training or meetings may ...

Precision AQ

Senior Director, Access Experience Team

... simulations. Role-play as payer or other healthcare stakeholder during exercise to enhance client ... Bachelor degree (Doctorate degree highly preferred) with a major in pharmacy, nursing, medicine, or ...

Essen Medical Associates

Product Engineer

Bronx, NY · On-site +1

$150K - $180K/yr

We also provide nursing home support, care management, and in-home care through our Essen House ... Create prototypes, simulations, and experiments to test: * Scheduling efficiency * No-show ...

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All JobsRemote Nursing Simulation Jobs

Remote Nursing Simulation information

See salary details

$11K

$67.6K

$121.5K

How much do remote nursing simulation jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote nursing simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nursing Simulation vs Remote Nursing Instructor?

AspectRemote Nursing SimulationRemote Nursing Instructor
Required CredentialsRN license, simulation certification (if applicable)RN license, teaching certification (if required)
Work EnvironmentVirtual simulation labs, online platformsOnline classrooms, virtual teaching platforms
Employer & Industry UsageHealthcare education, simulation centers, academic institutionsAcademic institutions, nursing schools, healthcare training programs

Remote Nursing Simulation involves creating and managing virtual simulation scenarios to train nursing students, focusing on technical skills and clinical decision-making. Remote Nursing Instructors primarily teach and facilitate nursing courses online, emphasizing curriculum delivery and student assessment. While both roles require nursing credentials and involve online work environments, Remote Nursing Simulation centers on simulation technology, whereas Remote Nursing Instructors focus on teaching and curriculum management.

What is remote nursing simulation?

Remote nursing simulation is a method of nursing education that uses virtual or online platforms to replicate clinical scenarios. It allows nursing students and professionals to practice clinical skills, critical thinking, and decision-making in a safe, controlled environment without being physically present in a simulation lab. This approach can include live video conferencing, virtual reality, or computer-based simulations, offering flexibility and accessibility for learners. Remote nursing simulation is especially valuable for distance learning or when access to in-person facilities is limited.

What are the key skills and qualifications needed to thrive as a Remote Nursing Simulation Specialist, and why are they important?

To thrive as a Remote Nursing Simulation Specialist, you need a solid background in nursing education, clinical practice, and simulation-based learning, often supported by a BSN or MSN and experience in teaching or simulation. Familiarity with virtual simulation software, learning management systems, and video conferencing platforms is typically required. Strong communication, adaptability, and problem-solving skills set individuals apart in this role. These qualifications and skills are crucial to effectively deliver engaging, realistic training experiences and ensure high-quality learning outcomes for remote nursing students.

What does a typical workday look like for a professional in remote nursing simulation, and how do they interact with other healthcare team members?

A typical workday in remote nursing simulation involves designing, facilitating, and evaluating virtual clinical scenarios for nursing students or professionals. You’ll collaborate closely with instructional designers, IT support, and clinical faculty to ensure simulations are realistic and educational. Communication with learners often happens via video conferencing, chat platforms, and learning management systems. Regular tasks include preparing simulation materials, troubleshooting technical issues, and providing feedback to participants. Teamwork and adaptability are essential, as you’ll coordinate with various departments to enhance the learning experience and continuously improve simulation quality.
More about Remote Nursing Simulation jobs
What cities are hiring for Remote Nursing Simulation jobs? Cities with the most Remote Nursing Simulation job openings:
What are the most commonly searched types of Nursing Simulation jobs? The most popular types of Nursing Simulation jobs are:
What states have the most Remote Nursing Simulation jobs? States with the most job openings for Remote Nursing Simulation jobs include:
What job categories do people searching Remote Nursing Simulation jobs look for? The top searched job categories for Remote Nursing Simulation jobs are:
Remote Nursing Simulation jobs near you

Tech Lead -- ASR / TTS / Speech LLM (IC + Mentor)

OutcomesAI

Boston, MA • On-site, Remote

Full-time

Posted 16 days ago

Job description

OutcomesAI is a healthcare technology company building an AI-enabled nursing platform designed to augment clinical teams, automate routine workflows, and safely scale nursing capacity.
Our solution combines AI voice agents and licensed nurses to handle patient communication, symptom triage, remote monitoring, and post-acute care — reducing administrative burden and enabling clinicians to focus on direct patient care. 

Our core product suite includes: 
● Glia Voice Agents – multimodal conversational agents capable of answering patient calls, triaging symptoms using evidence-based protocols (e.g., Schmitt-Thompson), scheduling visits, and delivering education and follow-ups. 
● Glia Productivity Agents – AI copilots for nurses that automate charting, scribing, and clinical decision support by integrating directly into EHR systems such as Epic and Athena. 
● AI-Enabled Nursing Services – a hybrid care delivery model where AI and licensed nurses work together to deliver virtual triage, remote patient monitoring, and specialty patient support programs (e.g., oncology, dementia, dialysis). 

Our AI infrastructure leverages multimodal foundation models — incorporating speech recognition (ASR), natural language understanding, and text-to-speech (TTS) — fine-tuned for healthcare environments to ensure safety, empathy, and clinical accuracy. All models operate within a HIPAA-compliant and SOC 2–certified framework. OutcomesAI partners with leading health systems and virtual care organizations to deploy and validate these capabilities at scale. Our goal is to create the world’s first AI + nurse hybrid workforce, improving access, safety, and efficiency across the continuum of care.  

Lead the end-to-end technical development of speech models (ASR, TTS, Speech-LLM) — from architecture, training strategy, and evaluation to production deployment.You’ll act as an individual contributor and mentor, guiding a small team working on model training, synthetic data generation, active learning, and inference optimization for healthcare applications. As a Tech Lead specializing in ASR, TTS, and Speech LLM, you will spearhead the technical development of speech models. This involves everything from architectural design and training strategies to evaluation and production deployment.

This role is a blend of individual contribution and mentorship. You will guide a small team focused on model training, synthetic data generation, active learning, and inference optimization, all within the context of healthcare applications.
What You’ll Do
  • Own the technical roadmap for STT/TTS/Speech LLM model training: from model selection → fine-tuning → deployment.
  • Evaluate and benchmark open-source models (Parakeet, Whisper, etc.) using internal test sets for WER, latency, and entity accuracy.
  • Design and review data pipelines for synthetic and real data generation (text selection, speaker selection. voice synthesis, noise/distortion augmentation).
  • Architect and optimize training recipes (LoRA/adapters, RNN-T, multi-objective CTC + MWER).
  • Lead integration with Triton Inference Server (TensorRT/FP16) and ensure K8s autoscaling for 1000+ concurrent streams.
  • Implement Language Model biasing APIs, WFST grammars, and context biasing for domain accuracy.
  • Guide evaluation cycles, drift monitoring, and model switcher/failover strategies.
  • Mentor engineers on data curation, fine-tuning, and model serving best practices.
  • Collaborate with backend/ML-ops for production readiness, observability, and health metrics.
Desired Skills
  • Deep expertise in speech models (ASR, TTS, Speech LLM) and training frameworks (PyTorch, NeMo, ESPnet, Fairseq).
  • Proven experience with streaming RNN-T / CTC architectures, LoRA/adapters, and TensorRT optimization.
  • Telephony robustness: Codec augmentation (G.711 μ-law, Opus, packet loss/jitter), AGC/loudness norm, band-limit (300–3400 Hz), far-field/noise simulation.
  • Strong understanding of telephony noise, codecs, and real-world audio variability.
  • Experience in Speaker Diarization,  turn detection model, smart voice activity detectionEvaluation: WER/latency curves, Entity-F1 (names/DOB/meds), confidence metrics.
  • TTS : VITS/FastPitch/Glow-TTS/Grad-TTS/StyleTTS2, CosyVoice/NaturalSpeech-3 style transfer, BigVGAN/UnivNet vocoders, zero-shot cloning.
  • Speech LLM: Model development and integration with Voice agent pipeline.
  • Experience deploying models with Triton Inference Server, Kubernetes, and GPU scaling.
  • Hands-on with evaluation metrics (WER, F1 on entities, latency p50/p95).
  • Familiarity with LM biasing, WFST grammars, and context injection.
  • Strong mentorship and code-review discipline.
Qualifications
  • M.S. / Ph.D. in Computer Science, Speech Processing, or related field.
  • 7–10 years of experience in applied ML, at least 3 in speech or multimodal AI.
  • Track record of shipping production ASR/TTS models or inference systems at scale.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.