AI Trainer - Vietnamese - Gwangju, Korea
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.
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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 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.
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.
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 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 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.
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 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.
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.
You will own the end-to-end development of products across the full stack, including UI, APIs, infrastructure, and AI-agent integration. You are responsible for ensuring high-quality delivery through testing, documentation, and ongoing operational support.
The SDE III will architect and own multi-service systems while driving technical trade-offs and reliability standards across the platform. They will also lead complex feature delivery and contribute to the development of agentic AI orchestration and reasoning pipelines.
The Site Reliability Engineer will operate and improve production environments while automating infrastructure management across cloud and hybrid platforms. They will collaborate with cross-functional teams to ensure platform resilience, security compliance, and operational excellence.
Provide strategic architectural leadership for the organization's Databricks implementation and data modernization initiatives. Design enterprise-scale data architectures while establishing governance, standards, and best practices to ensure successful business outcomes.
The engineer will analyze existing Power BI reports and Alteryx workflows to document end-to-end data lineage and transformation logic. They will also collaborate with stakeholders to validate report logic and identify obsolete data sources.
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You will be responsible for converting Figma designs into responsive Zoho Creator web and mobile interfaces while building a secure backend architecture. This includes managing role-based permissions, automating financial workflows, and overseeing project tracking through a custom administrative dashboard.
The LINC Fellow will provide subject matter guidance, tutoring, and assessment marking for a group of 25-30 online students. They are responsible for managing discussion forums and providing proactive, personalized support to students.
The LINC Fellow will provide subject matter guidance, tutoring, and assessment marking for a group of 25-30 online students. They are also responsible for managing discussion forums and providing proactive, personalized support to students.
The LINC Fellow will provide subject matter guidance, tutoring, and academic support to a group of 25-30 undergraduate online students. Responsibilities also include assessment marking, managing discussion forums, and providing prompt, personalized support to student queries.
LINC Fellows provide subject matter guidance, tutoring, and academic support to a group of 25-30 undergraduate online students. They are also responsible for assessment marking, managing discussion forums, and providing personalized support to student queries.
Design and operate high-volume, low-latency real-time data systems using Apache Flink as the core engine. Build and maintain high-scale streaming data pipelines on self-managed on-premise infrastructure.
You will own the end-to-end solution architecture for a sovereign, telco-native Customer Data Platform, managing the entire stack from data ingestion to activation. You are responsible for defining architectural principles, ensuring system scalability, and translating complex requirements into actionable designs for engineering teams.
Design and operate high-volume analytical data systems end to end using Apache Spark. Build and maintain high-scale batch and near-real-time data pipelines on self-managed infrastructure.
You will own end-to-end ML/AI systems, including data pipelines, model training, and serving infrastructure. Additionally, you will build and optimize LLM-powered applications, RAG pipelines, and multi-agent orchestration systems.
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Design and build scalable backend services and microservices using Java and Spring Boot. Collaborate with cross-functional teams to integrate databases and deploy containerized applications.
Build and maintain a multi-product portal with complex interactive visualizations and a comprehensive design system. Collaborate with cross-functional teams to implement high-performance interfaces and advanced frontend optimizations.
You will own the quality and automation frameworks for a high-scale, low-latency streaming Customer Data Platform. This involves building end-to-end test suites, validating data pipelines, and ensuring performance and governance standards are met.
You will partner with cross-functional teams to develop data-driven strategies and influence product roadmaps through quantitative analysis and experimentation. Additionally, you will communicate complex insights to leadership using storytelling techniques to shape product development and measure success.
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