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Remote Curator Jobs in Boston, MA (NOW HIRING)

Algorithm Engineer

Boston, MA ยท On-site +1

$150K - $170K/yr

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... data curation and labeling, development, failure-analysis, production, maintenance, and ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

... curation. What You'll Do: * Build and Train ML Pipelines: Develop, train, and fine-tune machine ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Machine Learning Engineer, Data Mining

Boston, MA ยท On-site +1

$144K - $192K/yr

... curation. What You'll Do: * Build and Train ML Pipelines: Develop, train, and fine-tune machine ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Algorithm Engineer

Boston, MA ยท On-site +1

$150K - $170K/yr

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ... data curation and labeling, development, failure-analysis, production, maintenance, and ...

This position falls under our Corporate Payments line of business and is a remote-based role, though we're targeting talent in the Boston area. In this role, you will act as a hunter, focused on ...

This position falls under our Corporate Payments line of business and is a remote-based role, though we're targeting talent in the Boston area. In this role, you will act as a hunter, focused on ...

We're looking for a Director of Strategic Sales to lead, scale, and develop our team of Strategic Account Executives focused on acquiring and driving growth within high-potential, high-value domains ...

Sales Associate

Boston, MA ยท Remote

$14.25 - $19.50/hr

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

New

Sales Associate

Boston, MA ยท On-site +1

$15.25 - $20.75/hr

Requirements This is a full-time remote role for an Entry Level Growth Management position. The role will involve day-to-day tasks such as analyzing data, implementing growth hacking strategies ...

New

Director, Sales Strategy & Value

Boston, MA ยท Remote

$150K - $180K/yr

Ability to build relationships effectively in a geographically dispersed, largely remote environment * Excellent project and process management skills; ability to prioritize in a fast-paced work ...

Showing results 21-40

Remote Curator information

See Boston, MA salary details

$27.7K

$78.9K

$129.8K

How much do remote curator jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote curator in Boston, MA is $78,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $102,100.00 per year, depending on experience, location, and employer.

What is a remote curator?

A Remote Curator is responsible for selecting, organizing, and managing content, collections, or digital assets for online platforms, museums, galleries, or media companies. This role often involves researching, categorizing, and presenting materials to engage audiences or support a brand's content strategy. Remote Curators may work with art, articles, videos, or other forms of digital media. Strong analytical skills, attention to detail, and knowledge of the subject matter are typically required. Many positions also involve collaboration with designers, writers, and marketers to optimize the presentation of curated content.

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

To thrive as a Remote Curator, you need expertise in content selection, organization, and research, usually backed by an academic background in art history, museum studies, or a related field. Familiarity with digital asset management systems, collection databases, and virtual exhibition platforms is often required. Strong written communication, collaboration, and self-management skills are essential for effectively engaging audiences and working with remote teams. These competencies are critical for ensuring high-quality curation, smooth digital workflows, and impactful virtual experiences.

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

Remote Curators often encounter challenges such as coordinating projects across different time zones, managing digital collections without physical access, and ensuring effective communication with team members and stakeholders. To address these, it's helpful to develop strong organizational habits, schedule regular virtual meetings, and leverage collaborative tools like project management software and video conferencing platforms. Proactively engaging with colleagues and maintaining detailed documentation can also streamline workflow and minimize misunderstandings. By adapting to the unique demands of remote work, curators can continue to deliver engaging and cohesive exhibitions from any location.

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

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

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

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

Infographic showing various Remote Curator job openings in Boston, MA as of August 2026, with employment types broken down into 65% Full Time, 18% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $78,902 per year, or $37.9 per hour.

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

OutcomesAI

Boston, MA โ€ข On-site, Remote

Full-time

Re-posted 15 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.