AI Jobs in Sydney

Find top AI jobs in Sydney across machine learning, generative AI, and data roles. All opportunities are curated and updated hourly from companies hiring nationwide.

Check out 7 new AI opportunities posted on The Homebase

Freelance AI Trainer - Civil Engineering & Python

New
Top rated
Mindrift
Part-time
Full-time
Posted

Design technically rigorous civil engineering problems grounded in practice. Evaluate AI solutions for engineering accuracy and assumptions. Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs. Improve AI reasoning to align with codes, standards, and professional logic. Apply structured scoring criteria to assess model performance.

$33 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Electrical Engineer with Python Experience - Freelance AI Trainer

New
Top rated
Mindrift
Part-time
Full-time
Posted

The role involves designing rigorous electrical engineering problems that reflect professional practice, evaluating AI solutions for correctness, assumptions, and constraints, validating calculations or simulations using Python (including libraries such as NumPy, Pandas, and SciPy), improving AI reasoning to align with industry-standard logic, and applying structured scoring criteria to multi-step problems.

$38 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Mechanical Engineer with Python Experience - Freelance AI Trainer

New
Top rated
Mindrift
Part-time
Full-time
Posted

Design graduate- and industry-level mechanical engineering problems grounded in real practice. Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). Improve AI reasoning to align with first principles and accepted engineering standards. Apply structured scoring criteria to assess multi-step problem solving.

$38 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Staff AI Engineer

New
Top rated
Relevance AI
Full-time
Full-time
Posted

Design and implement AI agents and extend existing agents with new capabilities including managing agent context using techniques like sub-agents and retrieval-based context management. Develop complex tools for agents such as computer use and browser use. Research and develop multi-agent orchestration and tool calling systems to enable collaboration between agents. Build and maintain production-grade APIs and AI-powered features across backend services and user-facing experiences. Evaluate AI performance through tests and evaluations and iterate on prompts, agent tools, and orchestration to improve output quality and reliability.

Undisclosed

()

Sydney, Australia
Maybe global
Hybrid

Senior AI Engineer

New
Top rated
Relevance AI
Full-time
Full-time
Posted

Develop AI agents and multi-agent systems by designing and implementing agents and extending existing agent capabilities, including managing the agent's context using techniques like sub-agents and retrieval-based context management. Develop complex tools for agents such as computer use and browser use. Research and build systems for multi-agent orchestration and agent tool calling to manage collaboration and tool usage. Engage in full-stack development to build and maintain production-grade APIs and AI-powered features, covering backend services to user-facing experiences. Evaluate AI performance using tests and evaluations to iterate and improve prompts, agent tools, and orchestration for better output quality and reliability.

Undisclosed

()

Sydney, Australia
Maybe global
Hybrid

Enterprise Account Executive - Italy

New
Top rated
Glean Work
Full-time
Full-time
Posted

The AI Outcomes Manager will partner with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. They will lead strategic reviews and advise customers on their AI roadmap to ensure maximum value from Glean's platform. The role involves translating business needs into clear problem statements, success metrics, and practical AI solutions while collaborating with Product and R&D to shape priorities. They will conduct discovery workshops, scope pilots, and guide rollouts to drive broad and deep adoption of the Glean platform. Additionally, they will design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. The manager will proactively identify expansion opportunities and drive engagement across teams and functions.

$130,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Senior AI Engineer - San Mateo, CA

New
Top rated
Trustlab
Full-time
Posted

The role involves training, evaluating, and monitoring new and improved LLMs and other algorithmic models. The engineer will test and deploy content moderation models in production and iterate based on real-world performance metrics and feedback loops. They are expected to develop medium to long-term vision for content understanding-related R&D, collaborating with management, product, policy & operations, and engineering teams. The position requires taking ownership of results delivered to customers, advocating for changes in approach where needed, and leading cross-functional execution.

Undisclosed

()

Maybe global

MCP & Tools Python Developer - Agent Evaluation Infrastructure

New
Top rated
Mindrift
Part-time
Full-time
Posted

Developing and maintaining MCP-compatible evaluation servers, implementing logic to check agent actions against scenario definitions, creating or extending tools that writers and QAs use to test agents, working closely with infrastructure engineers to ensure compatibility, and occasionally helping with test writing or debug sessions when needed.

$45 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Design realistic and structured evaluation scenarios for LLM-based agents by creating test cases that simulate human-performed tasks and defining gold-standard behavior to compare agent actions against. Create structured test cases that simulate complex human workflows. Define gold-standard behavior and scoring logic to evaluate agent actions. Analyze agent logs, failure modes, and decision paths. Work with code repositories and test frameworks to validate scenarios. Iterate on prompts, instructions, and test cases to improve clarity and difficulty. Ensure scenarios are production-ready, easy to run, and reusable.

$45 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Staff Backend Solution Architect Engineer

New
Top rated
Heidi Health
Full-time
Full-time
Posted

Architect and build backend services that power LLM-based agents and clinical automations. Design robust APIs and data models that are secure, observable, and extensible for other teams. Optimize performance and cost by profiling hot paths, tuning databases, and right-sizing cloud resources. Automate quality by writing unit and integration tests, crafting alerts, and owning on-call runbooks to ensure trust in every interaction. Partner with product, AI, and front-end engineers to ship new capabilities from concept to production within weeks.

Undisclosed

()

Sydney or Melbourne, Australia
Maybe global
Remote

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[{"question":"What types of AI jobs are available in Sydney?","answer":"Sydney offers a diverse range of AI career opportunities across multiple industries. Common roles include AI Engineer, Machine Learning Engineer, Data Scientist, AI Architect, and Principal AI Engineer. You'll also find specialized positions like Junior AI Engineers for entry-level candidates and Senior AI Managers for experienced professionals. Many organizations in Sydney's fintech, insurance, consulting, and tech sectors actively recruit for these positions. Companies like Deloitte maintain dedicated AI/ML teams with ongoing hiring initiatives. The market includes both technical implementation roles and strategic AI leadership positions, reflecting Sydney's growing adoption of artificial intelligence technologies."},{"question":"Are there remote or hybrid AI jobs available in Sydney?","answer":"While Sydney's AI job market predominantly favors on-site roles, flexible working arrangements are gradually becoming more available. Most job listings specify in-office requirements, particularly for collaborative teams working on complex AI implementations. However, companies like Deloitte now offer hybrid options for certain AI and machine learning positions. Specialized job boards allow filtering specifically for remote AI opportunities in the Sydney area. When searching, look for listings that explicitly mention flexible work arrangements, as this varies significantly by employer. The post-pandemic landscape has increased hybrid options, but fully remote AI roles remain less common than in-office positions."},{"question":"What skills are most in demand for AI jobs in Sydney?","answer":"Sydney employers prioritize both technical proficiency and practical AI application skills. Python programming tops the requirements list, alongside SQL for data manipulation. Framework knowledge is essential, including PyTorch, Hugging Face, and LangChain for modern AI development. Cloud expertise with AWS, Azure, or GCP appears in most job descriptions, often paired with Databricks experience. Employers value generative AI capabilities, particularly large language model implementation, RAG techniques, and prompt engineering. Data science fundamentals remain crucial, with Pandas and Scikit-Learn frequently requested. For senior roles, companies seek experience with Snowflake, enterprise AI architecture, and cross-functional leadership skills."},{"question":"What is the salary range for AI jobs in Sydney?","answer":"AI salary ranges in Sydney vary significantly based on role seniority, required expertise, and industry sector. Junior AI engineers typically earn less than experienced AI architects or principal engineers, with the most specialized roles potentially commanding packages approaching $950,000 AUD at the highest levels. Company size influences compensation, with enterprise organizations and well-funded startups often offering higher salaries than smaller companies. Specialized skills in generative AI, LLMs, and emerging technologies generally command premium compensation. To determine accurate salary expectations, evaluate individual job listings, as many employers in Sydney now include salary information directly in postings or during initial screening conversations."},{"question":"What experience levels are companies hiring for AI jobs in Sydney?","answer":"Sydney's AI job market spans all experience levels, from entry-level to executive positions. Junior AI Engineer roles target recent graduates with foundational ML knowledge and programming skills. Mid-level positions like AI Engineer and Senior Data Analyst require 3-5 years of relevant experience implementing AI solutions. Senior roles, including Principal Engineers and Lead AI Engineers, typically demand 7+ years of expertise and proven leadership abilities. Staff Engineer positions focus on technical depth, while Senior Manager AI roles emphasize strategic oversight. The market shows healthy distribution across these tiers, with particularly strong demand for experienced professionals who can guide AI initiatives in established organizations."},{"question":"How often are new AI jobs posted in Sydney?","answer":"Sydney's AI job market demonstrates robust daily activity across multiple platforms. General job boards like Indeed consistently show approximately 400 AI-related positions with new additions appearing daily. Specialized platforms such as BuiltInSydney and AIJobs.ai frequently update with fresh AI opportunities from both established organizations and emerging startups. The consistent posting frequency indicates strong ongoing demand for AI talent in the Sydney market. This daily refresh rate makes regular job searches valuable for candidates, as attractive new positions can appear quickly and receive numerous applications. Following company career pages for major employers like Deloitte can also reveal opportunities before they reach broader job boards."},{"question":"What is the difference between The Homebase and other job boards?","answer":"The Homebase distinguishes itself with AI-specific curation and precision filtering unavailable on general job boards. Unlike Indeed or LinkedIn, which include AI roles alongside thousands of unrelated positions, The Homebase exclusively focuses on verified artificial intelligence opportunities. The platform offers specialized filtering for AI technologies (NLP, MLOps, computer vision) and experience levels not found on standard job sites. Job seekers benefit from targeted searches by machine learning frameworks, AI methodologies, and remote work options. While general boards provide broader exposure, The Homebase delivers higher relevance for AI professionals seeking quality over quantity, eliminating the need to wade through irrelevant listings."}]