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Remote Speech Research Jobs (NOW HIRING)

Centific

Speech Research Intern-2

$45/hr

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Redmond(Preferred) or Remote * Duration: What We Offer * Competitive stipend and hands-on projects ...

GDIT

Call Center Speech Analyst - REMOTE!

WV · Remote

$50K - $66K/yr

Translate enterprise concerns, KPI inquiries, system inspections, and customer research into ... Minimum 1-year experience in business analytics, speech analytics, or data reporting. * Minimum 1- ...

Acclaim

Principal Machine Learning Engineer

Miami, FL · On-site +1

Train, fine-tune, and evaluate speech models * Bring research ideas into production systems * Work ... Remote work opportunities from Europe / US * The company has prominent clients with an opportunity ...

The Boutique COO

Virtual Assistant

$21/hr

... management, research projects, data entry, and many more different types of projects ... This is a remote position. Requirements Project Manager Qualifications / Skills: * Experience ...

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How much do remote speech research jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote speech research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

Will SLP be replaced by AI?

Speech-Language Pathologists (SLPs) are unlikely to be fully replaced by AI, as their work involves complex, personalized assessments and interventions that require human judgment and empathy. AI tools can assist SLPs by providing data analysis and supporting therapy, but they do not replace the need for professional expertise and direct patient interaction.

What are the key skills and qualifications needed to thrive as a Remote Speech Researcher, and why are they important?

To thrive as a Remote Speech Researcher, you need a strong background in linguistics, phonetics, or computer science, often supported by an advanced degree in a related field. Familiarity with tools like Praat, Python, speech recognition APIs, and data analysis software is typically required. Excellent analytical thinking, attention to detail, and clear communication are crucial soft skills for interpreting data and collaborating with remote teams. These skills ensure accurate research outcomes, effective teamwork, and innovation in developing speech technologies.

Who gets paid more, OT or SLP?

In the context of speech-related careers, Speech-Language Pathologists (SLPs) generally earn higher salaries than Occupational Therapists (OTs). SLPs often require a master's degree and certification, which can contribute to higher pay, though salaries vary by location, experience, and work setting. Both roles are in demand and offer competitive wages within healthcare and educational environments.

How much does a remote speech pathologist make?

A remote speech pathologist typically earns between $60,000 and $85,000 annually, depending on experience, location, and employer. Many roles require certification such as the Certificate of Clinical Competence (CCC) and involve teletherapy tools for remote service delivery.

Is there a shortage of speech pathologists?

There is a recognized demand for speech pathologists, especially in healthcare and educational settings, due to increasing awareness of communication and swallowing disorders. The profession often experiences shortages in rural and underserved areas, leading to high job availability for qualified speech therapists, including remote roles that require strong communication skills and relevant certifications.

What are some common challenges faced by professionals in remote speech research roles, and how can they be addressed?

Professionals in remote speech research often encounter challenges related to data quality and collaboration. Working remotely can make it difficult to access high-quality, diverse speech datasets and to synchronize with team members across time zones. To address these challenges, it's important to establish clear communication channels, use collaborative project management tools, and follow standardized data collection protocols. Regular virtual meetings and thorough documentation can also help maintain alignment and ensure research progress.

What is Remote Speech Research?

Remote Speech Research involves studying and analyzing speech patterns, language processing, and communication technologies from a remote location, rather than in a traditional laboratory setting. Researchers in this field often work with audio data, develop speech recognition systems, and explore ways to improve human-computer interaction using voice. This work can include collecting speech samples, annotating data, and using machine learning models to advance speech technology. Remote Speech Researchers typically collaborate with linguists, engineers, and data scientists, and may work for universities, tech companies, or research institutions.
More about Remote Speech Research jobs
What cities are hiring for Remote Speech Research jobs? Cities with the most Remote Speech Research job openings:
What are the most commonly searched types of Speech Research jobs? The most popular types of Speech Research jobs are:
What states have the most Remote Speech Research jobs? States with the most job openings for Remote Speech Research jobs include:
What job categories do people searching Remote Speech Research jobs look for? The top searched job categories for Remote Speech Research jobs are:
Remote Speech Research jobs near you
Infographic showing various Remote Speech Research job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 100% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.
Speech Research Intern-2

Speech Research Intern-2

Centific

Remote

$45/hr

Part-time

Posted 20 days ago

Job description

About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Job Description
PhD Research Intern - Speech AI
Centific AI Research
Full Time
40 hours per week
Role Summary
Centific AI Research seeks a PhD Research Intern to design and evaluate speech-first models, with a focus on Spoken Language Models (SLMs) that reason over audio and interact conversationally. You'll move ideas from prototype to practical demos, working with scientists and engineers to deliver measurable impact.
Scope of Work
  • End-to-end speech dialogue systems (speech-in/speech-out) and speech-aware LLMs.
  • Alignment between speech encoders and text backbones via lightweight adapters.
  • Efficient speech tokenization and temporal compression suitable for long-form audio.
  • Reliable evaluation across recognition, understanding, and generation tasks-including robustness and safety.
  • Latency-aware inference for streaming and real-time user experiences.

Example Projects
  • Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM; compare against strong baselines.
  • Create a data recipe that blends conversational speech with instruction-following corpora; run targeted ablations and report findings.
  • Build an evaluation harness that covers ASR/ST/SLU and speech QA, including streaming metrics (latency, stability, endpointing).
  • Ship a minimal demo with streaming inference and logging; document setup, metrics, and reliability checks.
  • Author a crisp internal write-up: goals, design choices, results, and next steps for productionization.

Minimum Qualifications
  • PhD candidate in CS/EE (or related) with research in speech, audio ML, or multimodal LMs.
  • Fluency in Python and PyTorch, with hands-on GPU training; familiarity with torchaudio or librosa.
  • Working knowledge of modern sequence models (Transformers or SSMs) and training best practices.
  • Depth in at least one area: (a) discrete speech tokens/temporal compression, (b) modality alignment to LLMs via adapters, or (c) post-training/instruction tuning for speech tasks.
  • Strong experimentation habits: clean code, ablations, reproducibility, and clear reporting.

Preferred Qualifications
  • Experience with speech generation (neural codecs/vocoders) or hybrid text+speech decoding.
  • Background in multilingual or code-switching speech and domain adaptation.
  • Hands-on work evaluating safety, bias, hallucination, or spoofing risks in speech systems.
  • Distributed training/serving (FSDP/DeepSpeed), and experience with ESPnet, SpeechBrain, or NVIDIA NeMo.

Tech Stack
  • PyTorch, CUDA, torchaudio/librosa; experiment tracking (e.g., Weights & Biases).
  • LLM backbones with lightweight adapters; neural audio codecs and vocoders as needed.
  • FastAPI/gRPC for services; ONNX/TensorRT and quantization for efficient inference.

Logistics
  • Location: Redmond(Preferred) or Remote
  • Duration: <3-6 months>

What We Offer
  • Competitive stipend and hands-on projects with measurable real-world impact.
  • Mentorship from applied scientists and engineers; opportunities to publish and present.
  • Access to modern GPU infrastructure and a supportive environment for fast, responsible experimentation.
  • Flexible location and schedule options, subject to team needs.

Rate: $45 per hour
Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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