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Responsible for driving organic growth for clients by developing search strategies across Google and AI platforms like ChatGPT and Perplexity. Manages content quality and AI-driven workflows to generate qualified leads and revenue impact.
Design and implement LLM-powered multi-agent systems to automate commerce operations and augment decision-making. Develop scalable .NET microservices and React frontends while ensuring safe agent behavior through guardrails and observability.
Guide clients toward becoming data-driven by identifying high-value AI and data use cases and building corresponding business cases. Develop data strategies, improve organizational setups, and foster a data-driven culture to maximize business impact.
Lead technical discovery and design architectures for large-scale AI, HPC, and data-intensive workloads. Partner with customers to execute proofs of concept and collaborate with internal product teams to influence the roadmap.
Implement and operationalize data and AI governance strategies to build a mature, data-driven culture for clients. Design policies, conceptual frameworks, and AI governance frameworks to ensure responsible and transparent use of data and AI.
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Lead the design and implementation of innovative AI solutions within SAP landscapes to increase efficiency and optimize business processes. Collaborate with international teams to translate functional requirements into technical architectures and drive AI adoption for clients.
Lead the technical strategy and deployment of OpenAI solutions within the AWS ecosystem for high-priority enterprise customers. Develop repeatable architectural patterns and enable AWS partners to independently scale Generative AI adoption.
Develop and manage automated AI pipelines for data extraction from electrical datasheets and circuit validation. Build benchmarking tools and self-improving systems to optimize AI agent performance and reliability.
Develop AI/ML models and scalable data pipelines while designing production-ready AI architectures integrated into cloud environments. Take technical responsibility for projects, managing architecture design and coordinating with stakeholders to ensure technical excellence.
Review and evaluate AI-generated outputs for accuracy, clarity, and cultural appropriateness in the Turkmen language. Provide structured annotations and original content to improve AI model performance across text, audio, and video formats.
The Founding BDR will execute high-volume outbound campaigns across phone, email, and LinkedIn to book qualified discovery meetings for the founder. They will also manage the HubSpot CRM, iterate on messaging, and provide market feedback to shape the product roadmap.
Design, prototype, and deploy enterprise-grade Generative AI solutions, including AI-powered chatbots and RAG pipelines. Collaborate with cross-functional teams to optimize internal operations and enhance client experiences through intelligent automation.
Review and refine AI-generated content regarding intellectual property, ensuring accuracy in patent, trademark, and copyright matters. Draft realistic IP scenarios and case studies to improve the reasoning capabilities of AI models.
Participants will use a Google Pixel 9 or newer device to interact with notification-generating apps and perform sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI and notification-management technologies.
Participants will use a Google Pixel 9 or newer device to interact with notification-generating apps and perform sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI and notification-management technologies.
Participants will use a Google Pixel 9 or newer device to interact with notification-generating apps and perform sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI and notification-management technologies.
Participants will use a Google Pixel 9 or newer device to interact with notification-generating apps and perform sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI and notification-management technologies.
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Participants will use a Google Pixel 9 or newer device to interact with apps and perform notification sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI technologies.
Review and refine AI-generated outputs related to sales support, CRM processes, and client interactions. Develop real-world sales scenarios and provide structured feedback to improve AI-driven sales recommendations.
The role focuses on applying AI to automate finance operations, including AP, AR, and financial reporting, to reduce costs and manual work. It involves partnering with finance teams to build audit-ready, SOX-compliant automation systems.
Lead the design, architecture, and implementation of scalable AI infrastructure across on-premises, cloud, and SaaS environments. Provide hands-on leadership and mentorship to engineers while resolving operational inefficiencies through automation.
Participants will use a Google Pixel 9 or newer device to interact with apps and organize notifications. They are required to complete daily sorting tasks and provide detailed feedback and documentation.
Participants will use a Google Pixel 9 or newer device to interact with apps and perform notification sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI and notification-management technologies.
Participants will use a Google Pixel 9 or newer device to interact with notification-generating apps and perform sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI and notification-management technologies.
Participants will use a Google Pixel 9 or newer device to interact with notification-generating apps and perform sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI and notification-management technologies.
Participants will use a Google Pixel 9 or newer device to interact with notification-generating apps and perform sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI notification management.
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Record audio and video tasks to help train next-generation AI systems. Participate in speaking, labeling, and reviewing tasks to improve AI understanding of speech and behavior.
Design and maintain production-grade AI systems, focusing on agentic workflows and retrieval-augmented generation (RAG). Develop backend services and evaluation systems to ensure the reliability, observability, and scalability of AI-powered features.
Lead the strategy and execution of enterprise-scale AI products, focusing on the lifecycle of central AI models and foundational infrastructure. Drive cross-functional alignment to deliver AI features that improve customer outcomes and integrate AI into internal developer practices.
Participants will use a Google Pixel 9 or newer device to interact with apps and organize notifications. They are required to complete daily sorting tasks and provide feedback and documentation for 14 consecutive days.
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