3 days ago

Software Engineer – Machine Learning (AI Training)

Alignerr

Sydney

3 days ago

Apply

Alignerr is seeking experienced Machine Learning engineers in Sydney and across Australia to evaluate AI-generated ML solutions, improve quality, and help frontier AI models get better at machine learning. This is a fully remote, flexible hourly contract role with asynchronous work and no fixed hours.

Core AIRemoteContractMid LevelMachine LearningPython

Software Engineer – Machine Learning (AI Training)

Apply

Core AIRemoteContractMid LevelMachine Learning

Salary

Not specified

Work Location

Sydney, New South Wales, Australia, AU

Work Model

Fully remote, flexible, asynchronous, work from wherever you are, no fixed hours

Experience Required

5 years

Employment Type

Hourly Contract, flexible, project-based

Experience Level

3–5+ years working on machine learning projects, pipelines, or MLOps

Core Qualifications

Technical (Must-have)

Machine LearningPythonTensorFlowPyTorchscikit-learnModel developmentData preprocessingTraining pipelinesDeploymentModel architectureCode logicProblem-solving

Soft Skills

Strong written communicatorDetail-orientedRigorousSelf-motivatedComfortable working independentlyAsync environment

Preferred Qualifications

Technical (Nice-to-have)

MLOpsModel evaluationCloud deploymentProduction ML systemsData labelingRLHFAI training workflowsCode reviewTechnical writing

Key Responsibilities

•Review and evaluate AI-generated machine learning code — including Python, TensorFlow, PyTorch, and scikit-learn — for correctness, efficiency, scalability, and clarity
•Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
•Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
•Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
•Help set the quality bar for how AI understands and produces machine learning code

Machine LearningAI TrainingRemoteContractPythonTensorFlowPyTorchscikit-learnMLOpsAustralia

Core Qualifications

Technical (Must-have)

Machine LearningPythonTensorFlowPyTorchscikit-learnModel developmentData preprocessingTraining pipelinesDeploymentModel architectureCode logicProblem-solving

Soft Skills

Strong written communicatorDetail-orientedRigorousSelf-motivatedComfortable working independentlyAsync environment

Key Responsibilities

•Review and evaluate AI-generated machine learning code — including Python, TensorFlow, PyTorch, and scikit-learn — for correctness, efficiency, scalability, and clarity

•Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels

•Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches

•Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses

•Help set the quality bar for how AI understands and produces machine learning code