AI Trainer - Kannada - Jacksonville, US
Perform side-by-side evaluations of Kannada text and voice snippets to assess naturalness and authenticity. Provide feedback on AI-generated audio regarding tone, pronunciation, and cultural context.
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Perform side-by-side evaluations of Kannada text and voice snippets to assess naturalness and authenticity. Provide feedback on AI-generated audio regarding tone, pronunciation, and cultural context.
Perform side-by-side evaluations of Kannada text and voice snippets to assess AI naturalness and authenticity. Provide feedback on tone, pronunciation, and cultural context to improve AI language models.
Perform side-by-side evaluations of text and voice snippets to assess the naturalness and authenticity of AI-generated Kannada speech. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
Evaluate AI-generated text and voice snippets in Kannada to ensure naturalness, authenticity, and cultural accuracy. Provide feedback through data tagging and side-by-side comparisons to improve AI communication nuances.
Evaluate AI-generated text and voice snippets in Kannada to ensure naturalness, authenticity, and cultural accuracy. Provide detailed feedback and data tagging to improve the nuance and tone of AI communication models.
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Evaluate AI-generated text and voice snippets in Kannada to ensure naturalness, authenticity, and cultural accuracy. Provide detailed feedback and data tagging to improve the nuance and tone of AI communication.
Evaluate AI-generated text and voice snippets in Kannada to ensure naturalness and cultural authenticity. Provide feedback through data tagging and side-by-side comparisons to improve AI communication nuances.
Design and operate the integration layer connecting the AI platform to U.S. healthcare ecosystems, including EHRs and national interoperability networks. Lead and coordinate multiple parallel integration teams to ensure consistent, timely, and compliant customer deployments.
Design, develop, and maintain OneStream-based solutions to support financial transformation initiatives, including budgeting and reporting. Create APIs, automated data interfaces, and dashboards while collaborating in Agile development cycles.
The primary responsibilities include designing, training, and evaluating deep learning models on diverse omic datasets and developing genomic language models to predict variant effects and gene functions. The role also involves collaborating with interdisciplinary teams to validate predictions and operationalize models within genomic selection pipelines.
The role involves owning and improving Sekai’s iOS app experience, quality, and release velocity. The engineer will build and ship consumer-facing iOS features while collaborating closely with Product, Design, Backend, and Mobile engineers.
Design, build, and ship end-to-end features and services for a next-generation accounting platform for private capital markets. Focus on improving platform performance, reliability, and scalability while mentoring mid-level engineers.
Design and scale backend systems and APIs to power consumer-facing financial products. Collaborate with cross-functional teams to drive code quality, security, and operational excellence.
The Data Scientist will research, analyze, and model data to deliver cutting-edge AI solutions for the Higher Education business unit. They will collaborate with cross-functional teams to create and execute generative AI projects that enhance educational experiences.
Design and analyze electrical systems for corporate decarbonization, focusing on grid integration and low-carbon energy technologies. Develop transmission planning and reliability studies while translating complex engineering analyses into actionable recommendations for clients and leadership.
Provides senior-level financial analysis, reporting, and forecasting to support business decisions and the financial management of the IL health plan. Responsibilities include managing the monthly close process, developing financial models, and handling regulatory reporting.
Develop and deploy end-to-end agentic, full-stack AI systems for defense and intelligence customers. Build ML services using LLMs, embeddings, and RAG within production and air-gapped environments.
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Lead the engineering team in developing scalable, high-performance systems by defining technical roadmaps and setting code quality standards. Mentor engineers and collaborate with stakeholders to ensure the timely delivery of features and architectural improvements.
The Field Application Engineer provides technical design support and implements solutions for OEM customers to meet design targets and goals. This includes managing projects through development, creating production documentation, and maintaining relationships with key stakeholders.
Build, train, and improve production-ready machine learning models while developing evaluation and feedback loops. Collaborate cross-functionally to implement ML-powered capabilities and establish tooling for monitoring model quality.
Develop and maintain embedded software for smart home products, focusing on the intersection of energy and home services. This includes board bring-up, driver integration, and optimizing the embedded Linux ecosystem.
Design, implement, and maintain application-level software for embedded Linux-based smart home devices. Integrate devices over wireless protocols to build compelling user experiences within the Vivint ecosystem.
Define and drive structural test plans for baseboards and systems to detect SMT, PCB, and component issues early. Collaborate with cross-functional teams and suppliers to develop automated test infrastructure and hardware solutions.
The Outpatient Coding Specialist reviews medical records to abstract data and apply accurate ICD-10 and CPT codes. They are responsible for ensuring compliance with coding guidelines and managing unbilled reports to maintain cash flow.
Responsible for programming and implementing user interfaces, web services, and database applications for external and internal websites. This includes designing technical solutions, integrating third-party systems, and maintaining the organization's technical architecture.
Own the end-to-end DFT and DFx strategy for AI inference accelerators, from architecture definition to silicon bring-up. Lead the implementation of scan, BIST, and ATPG strategies while managing external design partners and cross-functional teams.
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Develop and maintain enterprise dashboards and automated reporting solutions to support executive decision-making. Collaborate with stakeholders to translate operational requirements into data-driven solutions and ensure data integrity through governance and quality assurance.
Design, develop, and maintain scalable full-stack software solutions using Java and cloud technologies. Collaborate with cross-functional teams to implement APIs and microservices while leveraging AI to increase development velocity.
Manage and scale AWS infrastructure with a focus on security and compliance standards like HIPAA and SOC II. Design and maintain automated test suites for PHP/Laravel and VueJS applications while integrating AI-powered agentic workflows for QA.
Develop and maintain high-fidelity web applications using React and TypeScript while architecting scalable backend services with Spring Boot and Kafka. You will own features end-to-end, integrating LLM pipelines and ensuring HIPAA compliance for sensitive healthcare data.
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