AI Video Trainer - Korean
Record audio/video tasks to help train next-generation AI systems. Participate in tasks that may involve speaking, labeling, reviewing, or following on-screen instructions.
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Record audio/video tasks to help train next-generation AI systems. Participate in tasks that may involve speaking, labeling, reviewing, or following on-screen instructions.
Record audio/video tasks that help train next-generation AI systems. Participate in tasks that may involve speaking, labeling, reviewing, or following on-screen instructions.
Record audio and video tasks to help train next-generation AI systems. This involves speaking, labeling, and reviewing data to improve AI understanding of speech and behavior.
Complete short video recordings or conversation tasks for AI training purposes. Follow clear project instructions to ensure natural, accurate, and usable speech data.
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.
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The role involves embedding across various business teams to replace manual work with durable AI-powered tooling and automations. Additionally, the engineer will coach non-technical colleagues to build their own automations and develop reusable platform components.
You will record audio/video tasks that help train next-generation AI systems. Your submissions will support the development and training of AI systems by collecting high-quality human data.
Record audio and video tasks to help train next-generation AI systems. Participate in tasks that may involve speaking, labeling, reviewing, or following on-screen instructions.
Lead the design and delivery of end-to-end AI fullstack solutions, integrating frontend interfaces with robust backend services and AI layers. Manage the full development lifecycle including rapid prototyping, MLOps implementation, and mentoring engineers through architecture reviews.
Architect and implement AI-powered capabilities such as code generation and intelligent node creation to enhance workflow automation. Collaborate across teams to integrate LLM APIs and embedding models into the core user experience.
Design and deliver enterprise data and AI solutions across core business lines, bridging legacy mainframe systems with cloud-enabled ecosystems. Establish RAG and agentic AI capabilities while ensuring data governance and regulatory compliance.
Design, build, and deploy AI-powered solutions and agentic workflows to deliver business outcomes across insurance and investment sectors. Own the end-to-end delivery of LLM-enabled analytics and advanced statistical models while ensuring responsible AI controls.
Lead the discovery and development of AI-driven digital products to optimize the end-to-end student lifecycle for university partners. Redesign operational workflows and manage the product roadmap to improve efficiency and student outcomes.
Develop full-stack AI prototypes and intelligent applications using LLMs and frameworks like LangChain. Create AI assistants and integrate external tools via Model Context Protocol to execute real-world tasks.
The Account Executive is responsible for driving net-new logo acquisition through outbound prospecting and managing the full sales cycle from discovery to close. They will also act as a market educator on AI security and provide field insights to refine the product and go-to-market strategy.
Design and implement AI agents with reasoning pipelines and integrate LLM-powered services into scalable architectures. Collaborate with the Team Lead and Product Owner to refactor code and participate in architecture discussions.
Review and evaluate AI-generated content regarding recruitment strategies and hiring workflows to improve AI model accuracy. Create realistic recruitment scenarios and case studies to guide AI in mirroring real-world talent acquisition concepts.
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Review and refine AI-generated legal outputs and develop real-world corporate law scenarios to train AI models. Provide structured feedback to improve the AI's understanding of legal concepts and risk assessment.
Review and refine AI-generated outputs to ensure linguistic accuracy and real-world relevance in Dutch, German, or French. Create realistic communication scenarios and identify reasoning gaps to improve AI language models.
Review and refine AI-generated outputs related to growth strategy and go-to-market plans to ensure business accuracy. Create realistic growth scenarios and identify reasoning gaps in AI-generated business content.
Review and refine AI-generated outputs regarding regulatory compliance, risk management, and audit processes. Create realistic compliance scenarios and case studies to improve the reasoning capabilities of AI models.
Review and refine AI-generated outputs for regulatory accuracy and business realism regarding financial crime compliance. Draft realistic compliance scenarios and identify logic gaps in AI reasoning to improve model performance.
Review and refine AI-generated outputs related to go-to-market planning and strategy development. Create realistic GTM scenarios and identify reasoning gaps to improve AI model accuracy.
Review and refine AI-generated PR outputs to ensure accuracy, practicality, and alignment with real-world best practices. Draft realistic PR scenarios and identify reasoning gaps to help AI models understand PR processes at scale.
Review and refine AI-generated outputs on M&A topics to ensure technical accuracy and realism. Draft realistic case studies and negotiation scenarios to help AI systems understand complex real-world deals.
Review and refine AI-generated outputs on investment topics to ensure financial realism and rigorous logic. Draft realistic investment scenarios and identify flaws in AI-generated content to improve the system's practical application.
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Review and refine AI-generated accounting content to ensure accuracy and adherence to professional standards. Draft realistic financial scenarios and case studies to improve the reasoning capabilities of AI models.
Review and refine AI-generated financial content to ensure accuracy, compliance, and adherence to industry best practices. Draft realistic financial scenarios and assess AI reasoning across reporting, budgeting, and risk assessment.
Review and refine AI-generated outputs to ensure technical accuracy and real-world relevance. Create realistic AI scenarios and identify reasoning gaps to improve the performance of next-generation AI models.
Review and refine AI-generated market analysis outputs to ensure professional standards and accuracy. Create realistic market research scenarios and identify reasoning gaps in AI content.
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