Arabic Gen AI Trainer
Review, evaluate, and validate AI-generated content to ensure accuracy and quality. Annotate and label various data types while providing clear feedback based on project guidelines.
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Review, evaluate, and validate AI-generated content to ensure accuracy and quality. Annotate and label various data types while providing clear feedback based on project guidelines.
The voice contributor will participate in natural conversations, prompted discussions, and scripted customer-service scenarios. These sessions will be recorded from a home studio setup to help improve AI voice technology.
The voice contributor will participate in natural conversations, prompted discussions, and scripted customer-service scenarios. The role involves completing two scheduled recording sessions of approximately 4 hours each from a home studio.
Review and verify AI training tasks to ensure accuracy and quality standards. Provide constructive feedback to trainers and report recurring error patterns to the project team.
The voice contributor will participate in natural conversations, prompted discussions, and scripted customer-service scenarios. The role requires completing two scheduled recording sessions of approximately four hours each from a home studio.
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The voice contributor will participate in natural conversations, prompted discussions, and scripted customer-service scenarios. These sessions will be recorded from a home studio setup to help improve AI voice models.
Lead architecture discussions and design AI solutions by optimizing data pipelines, storage, and compute resources for enterprise customers. Act as a bridge between the field and Product Management to influence roadmap priorities and drive scalable go-to-market motions.
The AI Data Platform Field Architect will lead technical discovery sessions and design scalable AI solutions, focusing on data architecture and infrastructure enablement. They will also act as a bridge between customers and product management to influence roadmap priorities and drive go-to-market strategies.
Develop and design scalable, secure, and reliable data and AI architectures to support business units and AEC initiatives. Collaborate with multidisciplinary teams to translate business requirements into technical solutions and drive innovation through research and development.
Lead the development of next-generation AI systems, including voicebots and automated document validation. Architect and scale chatbot systems while partnering with AI providers to deploy advanced workflow automation.
Lead end-to-end digital product and design-system engagements while integrating AI into research, prototyping, and delivery workflows. Facilitate workshops with senior stakeholders and guide multidisciplinary teams to ensure high-quality, user-centric outcomes.
The role manages the end-to-end AI opportunity intake process, ensuring leads are captured, qualified, and routed to the appropriate practice teams. It also involves developing agentic lead-flow systems and maintaining CRM dashboards to track performance and pipeline health.
You will partner with cross-functional teams to design, develop, and deploy scalable AI-powered products and infrastructure. Additionally, you will contribute to the technical vision and long-term roadmap for foundational AI systems while optimizing performance for large-scale production.
You will lead the development of governed, production-grade AI agents by mapping complex business workflows and building tangible prototypes. You are responsible for defining evaluation strategies, ensuring model quality, and driving measurable business outcomes through cross-functional collaboration.
You will identify cancer-biology datasets and transform them into rigorous, deterministically-graded tasks for AI agents. Your role involves establishing defensible reference analyses and scoring criteria to evaluate agent performance across various clinical and biological workflows.
The role involves owning the end-to-end go-to-market strategy for enterprise advertising products and collaborating with cross-functional teams to influence product development. You will also lead product launches, develop sales enablement materials, and utilize AI technologies to drive product adoption and advertiser value.
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You will review user interaction traces with an AI shopping assistant to identify logical failures and inaccuracies. Additionally, you will develop structured rubrics and verifiers to assess and improve the quality of the model's responses.
The Domain AI Architect will drive architecture governance and standards while championing developer experience through reusable patterns and accelerators. They will lead cross-functional efforts to streamline deployment pipelines and provide documentation to empower engineering teams.
You will design and build AI-native experiences, including agentic workflows and natural-language interfaces, to provide stakeholders with trusted insights. Additionally, you will partner with data engineers and business analysts to ground AI capabilities in governed data assets and robust semantic models.
The AI & Data Strategy Architect advises clients on leveraging data and AI to drive business transformation and competitive advantage. They are responsible for creating strategic roadmaps, designing modern data architectures, and leading cross-functional teams to deliver successful client outcomes.
Design, validate, and productionize probabilistic models to support e-commerce decisioning under uncertainty. Collaborate with backend engineering to integrate these statistical models into a distributed microservices architecture.
The Senior AI Engineer will design and develop production-grade software integrating Predictive and Generative AI into eDiscovery workflows. They will architect cloud services on Azure and collaborate with data scientists to implement scalable, high-throughput document processing systems.
The Senior Program Manager will lead the planning, execution, and governance of enterprise AI initiatives from concept through production. They will coordinate cross-functional teams to ensure AI adoption and deliver measurable business outcomes.
The Senior Technical Architect will define and govern the enterprise reference architecture for Generative AI applications, AI agents, and AI-enabled business processes. They will design secure, scalable integration patterns and provide technical leadership to ensure AI solutions align with enterprise standards and business goals.
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Design, build, and operate production services that enable AI agents to interact with real-world systems like email, payments, and web browsing. Collaborate with product and engineering teams to define reliable interfaces and workflows for agent tool use.
The Associate Creative Director leads the fusion of graphic design and AI, directing campaigns and visual systems while developing scalable AI-augmented workflows. They collaborate with cross-functional teams to ensure creative excellence and brand integrity across all digital and video outputs.
Lead the architecture design and implementation of scalable, cloud-native solutions for fraud detection and risk analysis on AWS. Provide technical leadership across engineering teams while embedding AI and ML capabilities into product features.
The AI Product Manager will lead the organization's transition to an AI-native platform by defining product strategy, technical requirements, and measurable outcomes. They will oversee the end-to-end delivery of features while partnering with engineering and data teams to build impactful user experiences.
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