Manage vendor partnerships for Physical AI data collection programs, including sensor-tagged and egocentric datasets. Act as the operational bridge between internal data science teams and external vendors to ensure quality and delivery timelines.
The engineer will collaborate with internal teams and cloud vendors to support infrastructure delivery, deployment, and maintenance activities. They are responsible for troubleshooting infrastructure issues, monitoring system health, and developing automation tools to optimize operational workflows.
The Localization QA Tester evaluates localized content for linguistic accuracy, cultural relevance, and functional quality across various platforms. They are responsible for executing test cycles, reporting bugs, and collaborating with cross-functional teams to maintain high standards.
Design, build, and maintain large-scale distributed systems on Azure using .NET/C# while driving architectural strategy. You will own backend services end-to-end and collaborate with stakeholders to translate business requirements into technical solutions.
Develop, test, and maintain backend applications and services using C# and .NET on Microsoft Azure. Collaborate with cross-functional teams to build scalable APIs and cloud-native services while supporting CI/CD pipelines and production monitoring.
The Strategic Account Executive will manage the full sales cycle for Generative AI solutions, focusing on acquiring new business and expanding relationships within major foundation model labs. They will also translate client feedback into product roadmap input and develop internal playbooks to scale winning use cases.
The data annotator will be responsible for curating high-quality datasets to support AI development and training. They will work within the Centific ecosystem to ensure data accuracy and contextual relevance for enterprise-level AI solutions.
The Sr. Program Manager will lead end-to-end multilingual AI initiatives, serving as the primary point of contact for enterprise clients. They will coordinate cross-functional teams, manage program health, and drive process standardization across localization and data workstreams.
Define and implement robust automated testing strategies to ensure the quality and reliability of web and desktop applications. Develop and maintain scalable test automation frameworks while integrating them into CI/CD pipelines to facilitate continuous delivery.
Design, build, and deploy AI/ML systems across Vision AI, multimodal, agentic, and Physical AI use cases. Collaborate with research and engineering teams to productionize models and optimize performance for real-world applications.
You will develop and deploy state-of-the-art Vision AI and multimodal models, transitioning research from prototypes to production-ready systems. The role involves building perception-in-the-loop policies for physical AI and orchestrating agentic workflows that integrate reasoning, simulation, and data analysis.
Manage and coordinate critical customer escalations while acting as the primary point of contact for high-severity incidents. Collaborate with cross-functional global teams to ensure timely resolution and maintain effective communication with stakeholders.
The Localization QA Tester evaluates localized content for linguistic accuracy, cultural relevance, and functional quality across various platforms. They are responsible for executing test cycles, reporting defects, and collaborating with cross-functional teams to ensure a consistent user experience.
The Senior Program Manager will own end-to-end program management for multilingual AI initiatives, coordinating across engineering, linguistics, and data operations teams. They will serve as the primary point of contact for enterprise accounts, ensuring delivery meets client expectations and business value.
Drive new business development and account expansion for multilingual AI solutions across strategic global enterprise accounts. Act as a player-coach by managing a personal quota while mentoring the sales team and shaping the practice's overall enterprise strategy.
Design and deploy Large Audio Language Models (LALMs) and Speech-to-Speech systems capable of native audio understanding and reasoning. Collaborate with cross-functional teams to transition research innovations into production-ready customer applications.
Transcribe Spanish medical consultations and healthcare recordings into accurate verbatim transcripts. Ensure correct speaker labeling, segmentation, and adherence to clinical transcription guidelines.
Design and build custom RL environments and digital twins to simulate complex enterprise workflows. Post-train LLM-based agents using techniques like PPO and DPO to improve performance in high-stakes operations.
Design simulation environments and post-train LLM agents using advanced RL methods like RLHF, DPO, and PPO. Architect multi-turn tool-using agents and set technical standards through mentorship and code reviews.
Lead and manage operational managers across Community Support, Engagement, Platform Education, and PMO to ensure operational excellence. Drive performance tracking through KPIs and collaborate with cross-functional teams to scale platform capacity and efficiency.
Responsible for installing, maintaining, and troubleshooting server operating systems and hardware to ensure operational stability. This includes managing asset data, handling RMA processes, and collaborating with vendors to resolve batch failures.
The engineer is responsible for developing web-based platforms and maintaining the existing code base. They will also handle additional duties as required to support platform stability.
The role involves troubleshooting server and network hardware, managing the lifecycle of circuit orders, and coordinating with external vendors for datacenter maintenance. Additionally, the engineer is responsible for maintaining inventory databases and providing ongoing production environment support.
The intern will conduct research and solve real-world problems by pushing the boundaries of technology in AI and machine learning. They will collaborate with industry experts to develop and apply innovative solutions in fields such as NLP, Computer Vision, and LLMs.
Lead the implementation, configuration, and optimization of Workday HCM modules to align with business needs. Collaborate with HR and IT stakeholders to gather requirements, provide end-user training, and ensure ongoing system support.
The Channel GTM Lead will develop and execute strategies to enhance partner capabilities and drive market momentum for AI solutions. This role involves collaborating with cross-functional teams to support partners and customers throughout their AI journey.
The Operations Lead will manage the discovery phase for GenAI and AI data service opportunities, including scope definition, pricing, and workflow design. They will also drive operational efficiency by collaborating with cross-functional teams to streamline processes and ensure successful solution deployment.
The Account Executive will develop relationships with GenAI sourcing teams and manage the sales process to drive revenue generation. They will collaborate with cross-functional teams to deliver proposals and ensure customer success.
