Data jobs in Australia

 ...delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to... 

 ...Data science competitors design benchmark-style tasks that push coding agents beyond plausible-looking answers. Every task needs its own runnable environment, a checked reference solution and dependable scoring. Contributors run agents on their tasks, study where the... 

 ...reliability, scalability, and commissioning of Tesla’s energy storage solutions. You will help develop analytical tools, workflows, and data-driven insights that optimise fleet operations and improve the customer experience. By creating analytics that surface performance,... 

 ...daily work. What you would do Build and validate ML models, training pipelines and inference systems Implement model components, data pipelines and evaluation systems Create reproducible workflows with Python and command-line tools Check implementations... 

 ...performance, reliability, and optimization of our APAC Powerwall fleet. As a Senior Engineer, you will dive deep into fleet-wide data, troubleshoot issues, and develop solutions to enhance the customer experience. You'll collaborate with various internal teams, such... 

 ...beside a current job. What you would do Design difficult problems from your own research area, backed by realistic constraints and data Supply the correct solution and show the reasoning that leads to it Set objective correctness criteria that another researcher... 

 ...Economist Group; including thought leadership, industry trends, and behind-the-scenes perspectives from our experts in journalism, data, business, and technology. Working Arrangements The majority of our roles operate on a hybrid working pattern, with 3+ days office... 

 ...helped to deliver. It could be the hospital they work in, the railway they travel on every day, the fuel that powers their car or the data centre they depend on at work. For more than 75 years we’ve been helping to deliver transformational programmes across the real... 

 ...commitments at scale in one of the world’s most dynamic residential energy storage and Virtual Power Plant (VPP) markets. You will use fleet data, engineering fundamentals, and cross functional collaboration to monitor performance, resolve issues, and drive improvements across... 

 ...capabilities. Employs world-class digitalisation and AI-driven manufacturing processes. Role Overview We are looking for a data-driven and creative Digital Marketing Specialist to join our growing marketing team in Sydney. In this role, you will work... 

 ...Commissioning Manager and Project Engineering. Maintain accurate site commissioning records, including test results, as-commissioned data, redlines and handover documentation. Support operator training and knowledge transfer on the BESS, PCS and PPC to the client’s... 

 ...Responsibilities Define and communicate product vision, strategy, and roadmap for your area of ownership Conduct user research, analyse data, and synthesise insights to identify high-impact opportunities Write clear product requirements, user stories, and acceptance... 

 ...quality requirements. You will work closely with manufacturing, engineering and quality teams, using advanced inspection equipment and data to maintain high standards and drive continuous improvement. The Role Your responsibilities will include: Setting up and... 

 ...imagery, aerial imagery and inspection records Grade vehicles and equipment for auction or pre-sale using photos and inspection data Identify damage in rental or lease return records and report findings Explain the reasoning behind each grade or assessment so... 

Scientists across computational chemistry, protein structure work and drug discovery write hard problems with checkable answers and judge AI model responses. They build scoring rubrics and model answers anchored in published research, catch subtle errors a non-specialist...

PhD-level biologists write difficult life science problems with verifiable answers and review AI outputs for scientific accuracy and depth. They build grading rubrics and model answers drawn from literature and established methods, across fields from genomics and proteomics...

 ...reasoning about technical problems Turn unfamiliar problem statements into working implementations Choose suitable algorithms, data structures and strategies What the listing asks for A Codeforces profile is required Strong grasp of standard algorithms... 

 ...interpret them, and explain the correct answer step by step. Fields of interest include medicine, finance, engineering, earth sciences, data science and manufacturing. Work is remote and flexible, with no fixed weekly hours. What you would do Select charts from your... 

 ...diagnostic and physiology knowledge, explain clinical workflows for model training and flag weaknesses in system outputs, while following data privacy and ethics standards. The screening has an AI interview, questionnaire and client review. What you would do Label and... 

 ...skills write, solve and review demanding research problems in biology and related fields to evaluate AI systems. They analyze scientific data in code, build reproducible solutions, check computational results and catch errors in technical reasoning. Pay is output-based, per... 

 ...that two qualified reviewers reach the same verdict Prepare supporting files such as policy documents, payroll reports, headcount data and employment agreements Flag tasks that prove ambiguous or ungradable instead of submitting them Deliver approved tasks on... 

 ...accuracy. They draw on diagnostic, physiology and protocol knowledge, translate clinical workflows into guidance for models, and work with data scientists and engineers. Privacy and ethical standards apply throughout. What you would do Label and comment on patient cases,... 

 ...At Ecolab, we're expanding our Data Centre Cooling Solutions business across Australia and New Zealand and are looking for a Product Specialist to play a pivotal role in our growth journey. This is a unique opportunity to join a collaborative, fast-growing team at the... 

 ...equivalent background, plus US practice experience ~ Strong written and spoken English ~ Preferred: e-discovery platforms, legal data projects or AI evaluation experience Suits senior paralegals with US practice experience who have handled large document... 

 ...dependency services, databases, and containers. What the listing asks for Strong knowledge of Rust, backend service design, APIs, data systems, and concurrency Experience with analyses of backend correctness, performance, scalability, or reliability Practical... 

 .... What you would do Develop and validate models, training pipelines and inference infrastructure Implement model components, data pipelines and evaluation systems Build reproducible workflows with Python and command-line tools What the listing asks for... 

 ..., check parameters and statistical methods, and review results from sequencing, RNA-seq, single-cell, variant and protein structure data. Their findings support AI benchmarking efforts and are documented for the customer's team. Applicants may come from several biology... 

 ...infrastructure across RISC-V hardware and software. This is the plumbing that both teams' performance work stands on — benchmarking automation, data collection, and workload capture across silicon, FPGA/emulation platforms and performance models. You'll work across both teams,... 

 ...solve rigorous scientific problems in your area of biology or medicine Build reproducible Python analyses, models, simulations or data-processing pipelines Review scientific solutions and code for correctness, clarity and completeness Spot errors in technical... 

 ...design computational biology workflows used to benchmark AI models. They critique pipelines for genomic, transcriptomic and proteomic data, tune parameters and statistical methods for reproducibility, and write up their findings and best practices so the customer's team...