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Remote Audiologist Jobs in Boston, MA (NOW HIRING)

Presence

Communication Disorders Pathologist

Sudbury, MA · Remote

$40 - $55/hr

Flexible, remote scheduling * No-cost continuing education courses and clinical workshops tailored to your professional development * Access to the award-winning Presence platform, featuring curated ...

Presence

Educational Speech Pathologist

Sudbury, MA · Remote

$40 - $55/hr

Flexible, remote scheduling * No-cost continuing education courses and clinical workshops tailored to your professional development * Access to the award-winning Presence platform, featuring curated ...

Presence

Licensed Speech Pathologist

Sudbury, MA · Remote

$40 - $55/hr

Flexible, remote scheduling * No-cost continuing education courses and clinical workshops tailored to your professional development * Access to the award-winning Presence platform, featuring curated ...

Presence

Speech Development Pathologist

Sudbury, MA · Remote

$40 - $55/hr

Flexible, remote scheduling * No-cost continuing education courses and clinical workshops tailored to your professional development * Access to the award-winning Presence platform, featuring curated ...

Expressable

Speech-Language Pathologist

Boston, MA · Remote

$40 - $56/hr

100% remote | W2 employment | $40 - $58/hour | Flexible Scheduling (It is required to hold a state license in MA STATE, or be open to obtaining that state license.) Welcome to Expressble! We're an ...

All JobsAudiologist JobsRemote Audiologist JobsRemote Audiologist Jobs in Boston, MA

Remote Audiologist information

See Boston, MA salary details

$49.4K

$94.8K

$145K

How much do remote audiologist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote audiologist in Boston, MA is $94,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $107,000.00 per year, depending on experience, location, and employer.

What is a remote audiologist?

A Remote Audiologist provides hearing care services, such as hearing assessments, hearing aid fittings, and patient consultations, through virtual platforms or telehealth technology. They work with patients remotely, often using specialized software and devices to evaluate and support hearing health. This role allows audiologists to assist individuals who may not have easy access to in-person care, such as those in rural areas. Remote audiologists may work independently, for telehealth companies, or as part of a larger healthcare organization.

What does a remote audiologist do?

A typical day for a Remote Audiologist involves conducting virtual consultations, administering and interpreting hearing evaluations, counseling patients on treatment options, and programming hearing aids using specialized telehealth tools. You may collaborate virtually with other healthcare professionals, coordinate care with support staff, and manage documentation via secure online platforms. Many remote audiologists also provide follow-up care, troubleshooting, and education for both patients and their families. Your schedule may offer flexibility, but you must be comfortable working independently and managing your time efficiently.

What skills and qualifications are needed to be a remote audiologist?

To thrive as a Remote Audiologist, you need a graduate degree in audiology (AuD or master's), state licensure, and a solid grasp of diagnostic testing and hearing aid fitting. Familiarity with telehealth platforms, audiology practice management software, and digital otoscopic equipment is typically required. Excellent communication, active listening, and problem-solving skills help in delivering quality care and building patient trust remotely. These competencies are vital for ensuring accurate assessments, effective virtual patient interaction, and maintaining compliance with healthcare standards in a remote setting.

Can a remote audiologist work remotely?

Yes, a remote audiologist can work remotely, often providing services such as hearing assessments, consultations, and follow-up care through telehealth platforms. They typically need relevant licensure, certification, and access to specialized audiology software and equipment to perform their duties effectively from a remote location.

What type of remote audiologist makes the most money?

Experienced remote audiologists with specialized skills, such as cochlear implant programming or working with complex cases, tend to earn higher salaries. Those with advanced certifications, strong clinical expertise, and the ability to provide telehealth services independently generally make the most money in remote audiology roles.

Why are remote audiologists paid so low?

Remote audiologists often receive lower pay due to factors such as the competitive nature of telehealth jobs, lower overhead costs, and the availability of remote work options that can drive down wages. Additionally, some remote positions may require less supervision and offer fewer benefits, which can also impact compensation levels.

What are the most commonly searched types of Audiologist jobs in Boston, MA?

The most popular types of Audiologist jobs in Boston, MA are:

What are popular job titles related to Remote Audiologist jobs in Boston, MA?

For Remote Audiologist jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Audiologist jobs in Boston, MA look for?

The top searched job categories for Remote Audiologist jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Audiologist jobs?

Cities near Boston, MA with the most Remote Audiologist job openings:

Remote Audiologist jobs near you
Infographic showing various Remote Audiologist job openings in Boston, MA as of August 2026, with employment types broken down into 25% Full Time, and 75% Part Time. Highlights an 100% Remote job distribution, with an average salary of $94,785 per year, or $45.6 per hour.

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

OutcomesAI

Boston, MA • On-site, Remote

Full-time

Re-posted 10 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.