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Remote Rn Telephone Triage Jobs in Lexington, MA

BetterHelp

Licensed Psychologist - Remote

Boston, MA · Remote

Work from the comfort of home (fully remote) * Flexible schedule - you set your own hours. * Free ... Also, we are unable to accept substance abuse counselors, school counselors, registered nurses ...

BetterHelp

Mental Health Therapist - Remote

Boston, MA · Remote

Work from the comfort of home (fully remote) * Flexible schedule - you set your own hours. * Free ... Also, we are unable to accept substance abuse counselors, school counselors, registered nurses ...

Lancesoft INC

Pharmacovigilance Scientist

Cambridge, MA · Remote

$110 - $120/hr

Cambridge or Remote Time Zone: EST or CST Education : Degree in a medical or healthcare related discipline (PharmD, RN, MD) is required A minimum of five to seven years in the pharmaceutical industry ...

New

BillionToOne

Oncology Account Executive

Boston, MA · Remote

$241K - $311K/yr

Physicians Assistant (PA), Nurse Practitioner (NP) or Registered Nurse (RN) with experience ... LI-Remote For more information about how we protect your information, we encourage you to review ...

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Remote Rn Telephone Triage information

See Lexington, MA salary details

$15

$42

$58

How much do remote rn telephone triage jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote rn telephone triage in Lexington, MA is $42.76, according to ZipRecruiter salary data. Most workers in this role earn between $27.26 and $51.06 per hour, depending on experience, location, and employer.

What is a remote RN telephone triage nurse?

A Remote RN Telephone Triage job involves assessing patients’ symptoms and providing medical guidance over the phone or via telehealth services. Nurses use clinical protocols to determine the urgency of care needed and may advise self-care, schedule appointments, or refer patients to emergency services. This role requires strong critical thinking, communication skills, and the ability to work independently while following established guidelines. It is commonly used in healthcare organizations, insurance companies, and telehealth services to provide 24/7 medical support.

What does a remote RN telephone triage nurse do?

As a Remote RN Telephone Triage nurse, your primary responsibilities include answering patient calls, assessing symptoms remotely, providing medical advice, and directing patients to the appropriate level of care based on standardized triage protocols. You will also document each patient interaction in electronic health records, coordinate with providers or care teams as needed, and occasionally follow up with patients for ongoing situations. This role often involves working independently but requires frequent collaboration with physicians and other healthcare professionals. Flexibility in scheduling, attention to detail, and strong communication skills are essential for managing diverse patient inquiries and ensuring high-quality, timely care.

What skills and qualifications are needed for a remote RN telephone triage nurse?

To thrive as a Remote RN Telephone Triage nurse, you need an active RN license, strong clinical judgment, and experience in patient assessment and triage protocols. Familiarity with telehealth platforms, electronic health records (EHRs), and standardized triage guidelines such as Schmitt-Thompson protocols is frequently required. Outstanding communication, critical thinking, and the ability to remain calm under pressure are standout soft skills. These abilities ensure safe, accurate assessments and guidance for patients, which is crucial when providing care remotely without in-person evaluation.

What job categories do people searching Remote Rn Telephone Triage jobs in Lexington, MA look for?

The top searched job categories for Remote Rn Telephone Triage jobs in Lexington, MA are:

What cities near Lexington, MA are hiring for Remote Rn Telephone Triage jobs?

Cities near Lexington, MA with the most Remote Rn Telephone Triage job openings:

Remote Rn Telephone Triage jobs near you
Infographic showing various Remote Rn Telephone Triage job openings in Lexington, MA as of August 2026, with employment types broken down into 74% Full Time, 20% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $88,940 per year, or $42.8 per hour.

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

OutcomesAI

Boston, MA • On-site, Remote

Full-time

Re-posted 13 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.