AI Trainer - Advanced Mandarin Fluency - New Zealand
Engage in live, natural video conversations in Mandarin 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 Mandarin 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 Mandarin to provide high-quality data for AI model training. Participants will discuss everyday topics to help AI systems learn natural speech patterns and cultural nuances.
Participate in live video conversations in Mandarin to provide natural speech data for AI model training. Ensure high-quality audio recording by maintaining a quiet environment and using proper equipment.
Engage in live, natural video conversations in Mandarin to help train AI models on speech patterns and cultural nuances. Participants will discuss everyday topics to provide high-quality human data for AI development.
The Senior Data Engineer will design, build, and maintain scalable data pipelines within Microsoft Fabric while managing the migration of existing Azure workloads. Additionally, the role involves leading a team of junior engineers, ensuring data governance, and optimizing platform performance and costs.
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The Systems Engineer will operate and maintain Solana validator nodes to ensure high stability, security, and performance. Responsibilities include automating node deployment, monitoring system health, and collaborating with internal teams to optimize infrastructure.
The developer will lead end-to-end implementations of Workday Adaptive Planning, including requirements gathering, design, build, and testing. They will also partner with stakeholders to translate business needs into scalable models and provide ongoing post-implementation support and training.
Design, implement, and maintain web scrapers to collect alternative datasets while performing data cleaning and transformation. Collaborate with cross-functional teams to build efficient data processing workflows and maintain alerting systems for data integrity.
The specialist will analyze PSC workflows to identify inefficiencies and implement automation solutions to improve operational performance. They will also translate complex data into actionable insights and KPIs to support leadership decision-making.
You will design, build, and maintain scalable cloud and on-premises infrastructure using automation tools and Infrastructure as Code. Additionally, you will lead incident response efforts, mentor engineers, and implement observability solutions to ensure platform reliability.
Develop and maintain interactive Power BI reports and dashboards while transforming business requirements into data-driven solutions. Collaborate with stakeholders to deliver analytics initiatives and optimize data models using Microsoft technologies.
Design and document end-to-end enterprise-grade digital architectures ensuring scalability, performance, and maintainability. Lead technical guidance for the team while overseeing the implementation of AI-driven solutions and cloud-based infrastructure.
Design, develop, and optimize scalable data transformation pipelines in BigQuery while driving the migration of enterprise data warehouse workloads from Teradata. Manage the Common Data Model hub and ensure data consistency, quality, and alignment with business KPIs across the platform.
The role involves defining and operationalizing an enterprise Data & AI Governance framework while providing hands-on implementation for data products and security controls. You will lead governance councils, manage metadata frameworks, and ensure compliance with regulatory requirements in financial services environments.
The developer will build and maintain intuitive Sigma workbooks and dashboards while ensuring data consistency and governance. They will also support the migration of existing Tableau dashboards to Sigma and collaborate with stakeholders to meet business requirements.
Manage the end-to-end health and operations of the Mirantis Webstore and cloud marketplace listings, including pricing, SKUs, and private offer workflows. Coordinate cross-functional projects, maintain documentation in Jira, and drive process automation using AI tools.
Diagnose and resolve hardware, software, and network server issues while working with cloud technologies. Provide technical support and maintain hardware monitoring systems.
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The Business Developer will manage the commercial development of industrial building solutions within the Grand Est region by prospecting new clients and nurturing existing relationships. They are responsible for conducting site visits, preparing commercial offers, negotiating contracts, and coordinating project follow-up with internal teams.
You will design, build, and maintain scalable data collection integrations and connectors with various external platforms and APIs. Additionally, you will develop robust infrastructure to process, normalize, and move large volumes of data while ensuring high reliability and performance.
Design, develop, and manage scalable applications using Java, Spring Boot, and Python while implementing advanced microservices and AI-powered agentic workflows. Collaborate with cross-functional teams to build internal developer platforms and optimize engineering practices across the organization.
The Systems Integration Manager acts as the voice of engineering to ensure design integrity and technical risk management throughout the project lifecycle. They are responsible for defining integration strategies, generating system specifications, and leading site-wide system testing to ensure contractual requirements are met.
The Field Service Engineer is responsible for installing, maintaining, and repairing company instruments at customer locations. They also provide technical support, manage spare parts inventory, and ensure all service activities comply with good laboratory practices.
Define and drive the long-term product vision, strategy, and architecture for HighLevel's Knowledge Bases and Ask AI platform. Lead the end-to-end development of AI-driven intelligence systems, ensuring high-quality retrieval, agent orchestration, and seamless user experiences across the platform.
You will own the end-to-end backend development, including technology selection, architecture design, and feature implementation. Additionally, you will set code quality standards, mentor other engineers, and integrate AI-assisted development into the daily workflow.
You will manage the technical operations of the AI-powered learning platform, acting as the primary interface between product, psychology, and development teams. Additionally, you will oversee quality assurance, cloud infrastructure administration, and technology scouting to drive the product roadmap.
The Network Engineer will be responsible for administering network equipment across multiple data centers and performing routine or emergency maintenance. They will also participate in internal projects, including network development, new location connectivity, and automation implementation.
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Design, build, and operate core CIAM backend services to manage customer registration, authentication, and account lifecycle flows. You will integrate identity standards and collaborate with cross-functional teams to ensure secure, scalable, and reliable identity features.
Design, build, and operate core CIAM backend services to manage customer registration, authentication, and account lifecycle flows. Ensure identity features are delivered with strong security, reliability, and operational rigor across B2C and B2B platforms.
The Legal Solutions Architect will design, develop, and deploy custom software applications, APIs, and AI-enabled workflow solutions to support legal operations. This role involves partnering with attorneys and IT teams to build scalable, secure, and maintainable technical solutions using both pro-code and low-code technologies.
Design, configure, and develop advanced ServiceNow solutions with a focus on CRM, CSM, and AI-driven intelligent workflow automation. Collaborate with stakeholders to translate business requirements into scalable, secure, and maintainable digital workflows.
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