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Speech Intern 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 ...

University Health - San Antonio

Speech Pathologist

Selma, TX · On-site

$33 - $43.25/hr

New graduates may qualify with a Speech and Language Pathologist Intern license, pending full licensure in accordance with ASHA and Texas State Board of Examiner requirements. LICENSURE/CERTIFICATION ...

University Health

Speech Pathologist

Selma, TX · On-site

$33 - $43.25/hr

New graduates may qualify with a Speech and Language Pathologist Intern license, pending full licensure in accordance with ASHA and Texas State Board of Examiner requirements. LICENSURE/CERTIFICATION ...

University Health - San Antonio

Speech Pathologist

Selma, TX · On-site

$33 - $43.25/hr

New graduates may qualify with a Speech and Language Pathologist Intern license, pending full licensure in accordance with ASHA and Texas State Board of Examiner requirements. LICENSURE/CERTIFICATION ...

University Health

Speech Pathologist

Selma, TX

$35 - $58/hr

New graduates may qualify with a Speech and Language Pathologist Intern license, pending full licensure in accordance with ASHA and Texas State Board of Examiner requirements. LICENSURE/CERTIFICATION ...

University Health

Speech Pathologist

San Antonio, TX

$34 - $57/hr

New graduates may qualify with a Speech and Language Pathologist Intern license, pending full licensure in accordance with ASHA and Texas State Board of Examiner requirements. LICENSURE/CERTIFICATION ...

University Health

Speech Pathologist

San Antonio, TX · On-site

$31.50 - $41.25/hr

New graduates may qualify with a Speech and Language Pathologist Intern license, pending full licensure in accordance with ASHA and Texas State Board of Examiner requirements. LICENSURE/CERTIFICATION ...

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How much do speech intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for speech intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What type of supervision and mentorship can a Speech Intern expect to receive during their internship?

As a Speech Intern, you will typically work under the direct supervision of a licensed Speech-Language Pathologist (SLP), who will provide guidance and feedback on your daily activities and professional growth. You'll have regular opportunities to observe assessments, assist in developing therapy plans, and participate in therapy sessions with clients under close oversight. Most internships include structured mentorship, progress evaluations, and the chance to ask questions and receive constructive feedback. This supportive environment is designed to help you gain hands-on experience while building your confidence and skills as you prepare for a future career in the field.

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

To thrive as a Speech Intern, you need a background in communication sciences or speech-language pathology, along with foundational knowledge of speech disorders and therapy techniques. Familiarity with diagnostic tools, therapy software, and documentation systems is often expected, and some programs may prefer candidates who have completed relevant coursework or certifications. Strong interpersonal skills, attention to detail, and a willingness to take initiative are highly valued in this position. These qualities are crucial for accurately assisting in therapy sessions, maintaining clear records, and building supportive relationships with both clients and supervisors.

What is a Speech Intern job?

A Speech Intern assists licensed speech-language pathologists (SLPs) in evaluating and treating individuals with communication and swallowing disorders. Responsibilities may include helping with therapy sessions, preparing materials, observing assessments, and documenting patient progress. This role provides hands-on experience in clinical or educational settings, helping interns develop essential skills for a career in speech-language pathology.

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Speech Research Intern-2

Speech Research Intern-2

Centific

Remote

$45/hr

Part-time

Posted yesterday

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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