AI Trainer - Vietnamese - Hamamatsu, Japan
Engage in live, natural video conversations in Vietnamese to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns and cultural nuances.
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Engage in live, natural video conversations in Vietnamese to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns and cultural nuances.
Engage in live, natural video conversations in Vietnamese to help train AI models on human speech patterns and cultural nuances. Complete task-based assignments on a flexible schedule without fixed hours.
Engage in live, natural video conversations in Vietnamese to help train AI models on speech patterns and cultural nuances. Complete task-based assignments on a flexible schedule without fixed hours.
Participate in live video conversations in Vietnamese to provide natural speech data for AI model training. Engage in everyday topics to help AI systems learn human speech patterns, tone, and cultural nuances.
Engage in live, natural video conversations in Vietnamese to help train AI models on human speech patterns and cultural nuances. Complete task-based assignments on a flexible schedule without fixed hours.
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Participate in live video conversations in Vietnamese to help train AI models on natural speech patterns and cultural nuances. Complete task-based assignments on a flexible schedule without fixed hours.
Engage in live, natural video conversations in Vietnamese to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
Participate in live video conversations in Vietnamese to help train AI models on natural speech patterns and cultural nuances. Complete task-based assignments on a flexible schedule without fixed hours.
Engage in live, natural video conversations in Vietnamese to help train AI models on speech patterns and cultural nuances. Participants will discuss everyday topics to provide high-quality, ethically sourced human data for AI development.
Engage in live, natural video conversations in Vietnamese with other participants to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
The role serves as a primary communications partner to the CEO, developing and implementing strategic engagement plans for executive leadership. Responsibilities include crafting speeches, managing media relations, and building thought leadership platforms to advance the Foundation's vision.
Engage in live, natural video conversations in Vietnamese to provide data for AI model training. Discuss everyday topics to help AI systems learn speech patterns, tone, and cultural nuances.
The Director of Technology will oversee product, engineering, and QA delivery while maintaining a hands-on approach to system design and code reviews. They are responsible for scaling the platform, ensuring high reliability, and fostering a culture of technical rigor within a distributed team.
The Head of Marketing will establish and lead a new product and integrated marketing function to increase Wikipedia's global visibility and relevance. They will manage multidisciplinary teams, oversee go-to-market strategies, and collaborate across departments to drive audience engagement and brand growth.
The Process Analyst will analyze, document, and optimize daily operations by identifying bottlenecks and task duplication. They will also maintain process maps, draft standard operating procedures, and support the implementation of new methodologies.
The intern will assist in the operational and administrative management of the vehicle fleet, including maintenance tracking and documentation control. They will also support the department coordinator by updating databases and generating performance reports.
You will define, implement, and deliver robust backend features for a probabilistic reasoning engine while writing clean, performant code. You will also collaborate with the team to define implementation strategies and document complex technical solutions.
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The specialist will be responsible for network architecture, design, implementation, and ongoing support for client solutions. They will ensure the delivery of managed network services while maintaining high user satisfaction and meeting service level agreements.
The engineer will design, develop, and maintain scalable backend services, RESTful APIs, and modern web applications while improving software architecture for performance and reliability. They will also collaborate with cross-functional teams to integrate third-party systems and support business-critical workflows.
The Customer Support Agent acts as the primary point of contact for customers, resolving issues via email and chat. They collaborate with internal teams to find solutions and escalate inquiries to relevant departments when necessary.
The Customer Success Manager will act as a trusted advisor to enterprise customers, focusing on retention, product adoption, and long-term success. They will serve as a central hub for cross-functional coordination between customers and internal teams such as Support, Engineering, and MDR operations.
The AI Product Engineer will design and deploy AI agents, build end-to-end MVPs, and manage the full product lifecycle from requirements gathering to production maintenance. They will work in a cross-functional team to translate business needs into technical specifications and ensure high-performance system delivery.
Manage the end-to-end recruitment process, including sourcing, screening, and conducting structured interviews for various global roles. Maintain accurate candidate records and provide evidence-based hiring recommendations to managers.
You will lead the technical implementation lifecycle for customers, including requirements gathering, system configuration, and API integration design. Additionally, you will act as a liaison between clients and the R&D team to advocate for feature requests and ensure successful product adoption.
You will manage vulnerability assessments, prioritization, and remediation while integrating security practices into CI/CD pipelines. Additionally, you will collaborate with cloud SecOps teams to secure cloud-native applications and ensure alignment with business security strategies.
You will build and deploy end-to-end LLM-powered features, managing the entire lifecycle from development to production. Additionally, you will own answer quality by building evaluation datasets and debugging production systems using tracing and observability tools.
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Engage in live, natural video conversations in Japanese to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, cultural nuances, and tone.
You will be responsible for training and evaluating AI models by providing detailed outlines of your professional workflows. This involves translating complex tasks into structured data to help improve AI accuracy and nuance.
The Senior Security Engineer will audit and write secure Rust code while leveraging machine learning to automate security analysis and threat detection. They will also manage bug bounty programs and collaborate with engineering teams to integrate security best practices across the blockchain infrastructure.
The role involves building complex API and system integrations within a backend engineering capacity. You will be expected to collaborate with the U.S. team, requiring an overlap of at least 2–4 hours with West Coast business hours.
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