Speech Language Pathologist

The Speech Language Pathologist role at University Health Network centers on helping patients in Toronto address communication and swallowing difficulties. This work directly contributes to improving patient quality of life. Main responsibilities Assess speech, language, and swallowing abilities to determine patient needs Create and carry out tailored treatm…

Role overview University Health Network is hiring a Speech Language Pathologist based in Toronto. This position centers on helping individuals who face challenges with speech, language, or swallowing. The work combines assessment and treatment, with a focus on improving each patient's ability to communicate. Key responsibilities Assess, diagnose, and treat disorders related to speech, language, and swallowing Develop individualized treatment plans in partnership with a multidisciplinary team Collaborate with healthcare professionals to coordinate patient care Support patients as they build communication skills and confidence Team environment This role is part of a collaborative healthcare team. The work has a direct impact on patient quality of life by addressing communication needs and supporting rehabilitation.

We are seeking a dedicated and skilled Speech Language Pathologist to join our esteemed team at University Health Network. In this role, you will play a pivotal part in assessing and treating patients with communication and swallowing disorders, collaborating with a multi-disciplinary team to enhance patient outcomes.

Role Overview Spectrum Healthcare seeks an Independent Contractor Speech Language Pathologist in Toronto. This role focuses on supporting individuals with communication disorders through assessment, direct therapy, and consultation. Key Responsibilities Deliver speech and language assessments for clients across different age groups Provide individualized therapy and intervention based on client needs Offer consultation services to clients and their families Adjust therapy approaches to match each client's goals and abilities Work Structure This is a flexible, independent contractor position. Set your own schedule and manage your caseload, while collaborating with a network of healthcare professionals at Spectrum Healthcare.

The University Health Network is hiring a Speech Language Pathologist in Toronto. This position centers on helping individuals of various ages develop and strengthen their communication abilities. Role overview Clinical expertise is at the heart of this role. Each day brings opportunities to assess and support patients facing speech and language challenges. The work directly influences how patients interact with others and engage in everyday activities. Key focus areas Provide assessment and intervention for speech and language difficulties Support patients as they work toward improved communication Contribute to patient care that enhances participation in daily life

Join the LRDG Language Research Development Group, a leading Canadian organization based in Montreal, specializing in online language education. With over 20 years of partnership with the Canadian government, we provide a unique blend of tutoring expertise and community support aimed at delivering quick and proven results.Are you passionate about teaching French? Looking for a steady source of income that fits your schedule? At LRDG, we offer the flexibility to create your own working hours from the comfort of your own home, eliminating commuting time and granting you more free time.We provide remote tutoring services to federal officials to enhance their French language skills, particularly in oral communication. Our educational materials are available to you, allowing you to customize your teaching approach to suit your learners' needs.

Join TSMG as an AI Speech Tester!Are you passionate about language and technology? At Terry Soot Management Group (TSMG), we are on a mission to enhance speech recognition and conversational AI. We are seeking enthusiastic native English speakers from Canada to participate in a unique conversational audio data collection project.About UsFounded in 2017, TSMG specializes in collecting field data where automation falls short. Our skilled teams operate across Europe and North America, capturing essential data through various means including audio recordings, photography, and video documentation. Join us and contribute to meaningful advancements in AI technologies.Project OverviewAs an AI Speech Tester, you will engage in natural, unscripted conversations with fellow participants in a controlled environment, guided by a moderator. Your contributions will directly support the development of state-of-the-art speech and conversational AI systems.

Join Our Team as an AI Speech Tester!At Terry Soot Management Group (TSMG), we are pioneers in field data collection, established in 2017. Our mission is to gather critical data where automation falls short, including feature counting, photography, videography, speech recording, and detailed area scanning. With teams operating across Europe and North America, we embrace new challenges to push the boundaries of data collection.Project OverviewWe are seeking enthusiastic native French speakers from Canada to engage in a conversational audio data collection project aimed at enhancing speech and conversational AI technologies. As a participant, you will engage in natural, unscripted dialogues with another participant in your native language, all under the guidance of a moderator in a controlled acoustic environment.The audio recordings gathered will contribute to the training and refinement of large-scale speech recognition systems and conversational AI applications, playing a vital role in advancing technology.

About the TeamAdaptive ML is an innovative AI startup focused on developing a cutting-edge Reinforcement Learning Operations (RLOps) platform that empowers enterprises to customize and implement large language models (LLMs) in production, yielding measurable results.We deliver essential infrastructure that facilitates the tuning, evaluation, and deployment of specialized models at scale — leading the way in task-specific LLM development and managing production-ready workflows capable of handling millions of requests while optimizing for cost and performance across distributed systems.Our close-knit team has previously contributed to the development of state-of-the-art open-access large language models. In early 2024, we secured a $20M seed round led by Index Ventures and ICONIQ, and we are already operational with clients including Manulife, AT&T, and Deloitte, spanning across travel and financial services — with more partnerships to be announced soon.At Adaptive ML, our Success Team is an integral part of our Technical Staff. The Technical Staff is responsible for developing the foundational technology that drives Adaptive ML, while the Success Team ensures our enterprise clients fully utilize these technologies — particularly through our Adaptive Engine product — to extract maximum value.About the RoleAs a Forward Deployed AI Engineer at Adaptive ML, you will assist our customers in creating scalable production applications utilizing the Adaptive Engine. Our clientele ranges from dynamic scale-ups to established global enterprises, and your mission will be to guide them in maximizing business value while expediting the production timeline. We emphasize bridging the gap from proof-of-concept to production, as numerous generative AI initiatives fall short in delivering clear ROI.By harnessing advanced reinforcement learning technologies, you will aid in the customization of large language models for production readiness. Your responsibilities will include constructing synthetic data pipelines to launch models into production and identifying useful signals for ongoing model refinement utilizing real-world feedback. We seek self-motivated, business-savvy, and driven individuals eager to support the deployment of a highly technical product. As this is an early-stage role, you will have the opportunity to influence our research initiatives and product development as we expand.This is an in-person role located at our Toronto or New York office.

Who We Are:At Cohere, our mission is to harness the power of intelligence for the betterment of humanity. We are at the forefront of developing and deploying cutting-edge models for developers and enterprises, enabling them to create transformative AI experiences like content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We firmly believe that our contributions are vital for the widespread integration of AI technologies.Our passion for innovation drives us. Each team member is accountable for enhancing our models' capabilities and delivering exceptional value to our customers. We thrive in a fast-paced environment, committed to excellence and customer satisfaction.Cohere comprises a diverse team of researchers, engineers, and designers, each a leader in their respective fields. We believe that diverse perspectives are essential to building outstanding products.Join our journey and help shape the future of AI!Why This Role Matters:As a Machine Learning Engineer focused on synthetic data, you will be instrumental in developing the synthetic data pipeline that supports Cohere's advanced language models. Your role will involve overseeing the entire lifecycle of synthetic data, which includes maintaining and optimizing the synthetic data pipeline, performing data analysis and generation, and conducting data ablation and model evaluations to assess data quality. You will work with diverse datasets, transforming them through generative models to enhance token efficiency and model performance. By merging research with engineering, you will connect raw data to state-of-the-art AI models, directly impacting critical training metrics such as throughput and accelerator utilization.Your contributions will be pivotal to our mission of providing efficient and reliable language understanding and generation capabilities, fostering innovation in natural language processing. If you have a passion for transforming data into the backbone of AI systems, this role presents a unique opportunity to make a significant impact.Please note: We have offices in London, Paris, Toronto, San Francisco, and New York, and we are proud to be a remote-friendly company! There are no location restrictions for this role within the EST and EU time zones.Your Responsibilities:Design and implement scalable inference pipelines that operate efficiently on large GPU clusters.Conduct data ablation studies to evaluate data quality and experiment with diverse data mixtures to enhance model performance.Collaborate with cross-functional teams to integrate synthetic data solutions into existing AI frameworks.Analyze and optimize data generation processes to support various AI applications.

About UsAt Cohere, our mission is to scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create AI-powered experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment to excellence is key to fostering the widespread adoption of AI technologies.We take great pride in our craft. Each team member is dedicated to enhancing the capabilities of our models and maximizing the value delivered to our clients. We thrive in a fast-paced environment, working diligently to prioritize our customers' needs.Cohere is a dynamic team of researchers, engineers, and designers, all driven by a shared passion for innovation. We believe that a diverse range of perspectives is essential for creating exceptional products.Join us on this exciting journey and help shape the future of AI!Why this role mattersAs a Machine Learning Engineer focusing on pre-training data, you will be instrumental in developing the data pipeline that supports Cohere’s advanced language models. This role involves conducting data ablations to evaluate data quality and crafting pre-training data mixtures aimed at optimizing model performance. By merging research with engineering, you will play a crucial role in transforming raw data into state-of-the-art AI models and will directly influence key training metrics such as throughput and accelerator utilization.Your contributions will be vital to our mission of delivering reliable and efficient language understanding and generation capabilities, driving innovation in natural language processing. If you're passionate about harnessing data to build foundational AI systems, this position presents a unique opportunity to make a significant impact.Note: Our offices are located in London, Paris, Toronto, San Francisco, and New York, and we fully support remote work! This role is open to candidates located anywhere in the EST to EU time zones.As a Machine Learning Engineer, Pre-Training Data, your responsibilities will include:Conducting data ablations to assess data quality and experimenting with data mixtures to boost model performance.Developing robust data modeling techniques to guarantee datasets are structured and formatted for optimal training efficiency.Researching and implementing innovative data curation methods, utilizing Cohere’s infrastructure to propel advancements in natural language processing.Collaborating with cross-functional teams to ensure the integration of high-quality data into our models.