Top Artificial Intelligence Jobs in New Zealand

The Head of Solutions Implementation will manage client relationships, lead project teams, drive business development, and mentor team members. This role involves strategic planning, contributing to the firm's methodologies, and enhancing client solutions through advanced data analysis and automation.

As a Senior AI Engineer, you will develop prototypes and microservices, create MLOps pipelines, automate processes, and support AI workshops. Collaborating closely with teams, you will implement AI-driven solutions to improve business workflows.

The Principal Localization AI Strategist at Autodesk designs AI-based globalization and localization frameworks, integrating Machine Translation and quality management. Key responsibilities include developing MT-AI workflows, analyzing output quality, and collaborating with stakeholders. The role requires expertise in localization, MT/AI, and proficiency in Python, along with a strong focus on process improvement.

Outlier is seeking Math Experts to help train AI models by assessing AI-generated content, crafting relevant math questions, and evaluating responses. This freelance role offers flexible hours for contributors with a background in Math.

The role involves leveraging expertise in Accounting and Tax to assess and evaluate the relevance and accuracy of AI-generated content, craft related questions, and rank responses. It offers the flexibility to work remotely and on one's own schedule.

Outlier seeks Probability & Statistics experts to assist in training AI models by evaluating AI-generated content, crafting relevant questions, and providing expert feedback.

This role involves supporting AI training by reading and assessing Russian text, writing Russian content, and ranking AI-generated responses. Candidates will utilize their Russian writing skills to help enhance AI models and contribute valuable feedback.

The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.