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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 Summary Centific AI Research seeks a PhD Research Intern to design and evaluate speech-first models ...

Trunk Tools

AI Research Engineer- Speech 1

Redmond, WA · On-site

$229K/yr

Speech/Audio Centific AI Research About Centific AI Research Centific AI Research is at the forefront of developing cutting-edge AI solutions that bridge the gap between research innovation and real ...

NorthEastern

Research Speech-Language Pathologist

Boston, MA · On-site

$32.62 - $46.08/hr

The mission of the SMILe Lab's research is to improve assessment and treatment of motor speech disorders in children. The research coordinator will work directly with Dr. Allison to oversee execution ...

Google

Applied AI Engineer, Audio, XR

Mountain View, CA · On-site

Expertise in generative AI and speech research, including first-author publications at top AI conferences (e.g., NeurIPS, ICML, InterSpeech, etc.). * Proven track record of optimizing algorithms for ...

Speech Therapy Plus LLC

Speech Therapist

Fair Lawn, NJ · On-site

$65 - $72/hr

... research and best practices in speech-language pathology Job Types: Full-time Benefits: * 401(k) * 401(k) matching * Continuing education credits * Dental insurance * Health insurance * Paid time off

Speech Therapy Plus LLC

Speech Therapist

Fair Lawn, NJ · On-site

$65 - $73/hr

... research and best practices in speech-language pathology Job Type: Part-time Pay: $68.00 - $73.00 per hour Expected hours: 6 per week Benefits: * 401(k) * 401(k) matching * Continuing education ...

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How much do speech research jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for speech research in the United States is $45.78, according to ZipRecruiter salary data. Most workers in this role earn between $33.65 and $56.49 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Speech Research position, and why are they important?

To thrive in Speech Research, you typically need a solid background in linguistics, computational linguistics, or a related field, with strong analytical and experimental design skills. Familiarity with speech analysis software, programming languages such as Python, and tools like Praat or MATLAB is often essential. Exceptional problem-solving abilities, attention to detail, and collaborative communication skills help you excel in multidisciplinary research teams. These competencies enable researchers to conduct high-quality experiments and contribute innovative advances in speech technology.

What are the typical responsibilities of a Speech Researcher within a team?

Speech Researchers often work as part of interdisciplinary teams, collaborating with engineers, data scientists, and product managers to design and conduct experiments involving speech recognition, synthesis, or processing. Daily tasks may include collecting and annotating audio data, developing algorithms, analyzing linguistic features, and publishing findings in peer-reviewed forums. Progress is usually shared in regular team meetings, and researchers are encouraged to stay current with advancements in the field. This collaborative environment fosters innovation and the practical application of research in real-world speech technology products.

What is a Speech Research job?

A Speech Research job involves studying and developing technologies related to speech processing, recognition, synthesis, and understanding. Researchers in this field work on improving voice assistants, automatic transcription, language modeling, and speech-based AI systems. The role often involves machine learning, linguistics, signal processing, and artificial intelligence to enhance human-computer interaction. Professionals in speech research may work in academia, tech companies, or research institutions to advance the capabilities of speech-driven applications.

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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 Speech Research jobs? States with the most job openings for Speech Research jobs include:
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Speech Research jobs near you
Infographic showing various Speech Research job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $95,216 per year, or $45.8 per hour.

Speech Research Intern-2

Centific

Remote

$45/hr

Part-time

Posted 4 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 innovationâ„¢ 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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