Top Artificial Intelligence Jobs in Wellington

The AI Architect will design scalable AI solutions, lead project delivery, develop enterprise strategies, and mentor teams. Responsibilities include ensuring compliance, optimizing performance, and fostering innovation through workshops.

Join Welo Data to contribute to AI projects involving annotation, evaluation, and prompt creation, while working flexibly with global teams.

Welo Data seeks candidates fluent in Simplified Chinese for remote AI data labeling, evaluation, and instruction tasks, offering flexible hours.

Welo Data seeks individuals to enhance AI by providing high-quality language data through annotation, evaluation, and prompt creation, focusing on inclusivity.

Join Welo Data to work on AI projects, focusing on annotation, evaluation, and prompt creation in a flexible, remote environment. Requires fluency in Greek.

Join Welo Data to contribute to AI projects focusing on data annotation, evaluation, and enhancing AI models with culturally aware input. Fluency in French and comfort with digital tools are required.

Join Welo Data for AI data annotation and evaluation tasks, working remotely with flexible hours. Contributors shape the future of AI.

Join Welo Data to contribute to inclusive AI through language data tasks like annotation, evaluation, and prompt creation. Remote work with flexible hours.

Join Welo Data to enhance AI technologies by engaging in annotation, data collection, and model evaluation while working flexibly in a global community.

Welo Data seeks individuals fluent in Flemish for remote roles in AI-related annotation and evaluation tasks. Responsibilities include transcription, prompt engineering, and data collection.

Join Welo Data to assist in AI data annotation, evaluation, and instruction creation tasks, all remotely with flexible timing. Candidates must be native or near-native Cantonese speakers with English proficiency and digital tool familiarity.

Join a community of linguists and contribute to AI through annotation, evaluation, and prompt creation in a flexible, remote role.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

The Lead Domain Architect - AI will define and oversee the AI/ML roadmap, ensuring alignment with business strategy and governance for scalable solutions.

The Senior AI Applied Engineer will design and deliver AI-powered features, improve development tools, and work collaboratively across teams to innovate products.

Seeking a passionate AI development lead with 7+ years in software development, focusing on innovative AI-driven solutions. Collaborate with teams to deliver generative AI applications and utilize cloud-native technologies for production deployments.

The AI Quality Assurance Lead will develop advanced QA solutions for AI applications, implement test automation frameworks, and collaborate with cross-functional teams to ensure quality in AI systems.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead the design and implementation of data architectures for generative AI initiatives, collaborating with teams and establishing best practices.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

The role involves building an AI image generation product for iOS, focusing on user acquisition, monetization, conversion strategies, and cross-functional collaboration.

Support SEO/SEM efforts for AI image generation site by optimizing content, conducting data analysis, and collaborating with cross-functional teams.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.