3 days ago

Data Scientist (Masters)

Alignerr

Brisbane

3 days ago

Apply

Alignerr is seeking Data Scientists with graduate-level training for a fully remote, flexible contract role as an AI Data Trainer. The position involves designing complex data science challenges, authoring ground-truth solutions, auditing AI-generated code, and refining AI reasoning to improve cutting-edge AI models.

Core AIRemoteContractEntry LevelMachine LearningStatistical Inference

Data Scientist (Masters)

Apply

Core AIRemoteContractEntry LevelMachine Learning

Salary

Not specified

Work Location

Brisbane, Queensland, Australia, AU

Work Model

Fully remote, flexible contract role

Employment Type

Hourly Contract

Experience Level

Not Applicable

Core Qualifications

Technical (Must-have)

Machine LearningStatistical InferenceData EngineeringHyperparameter OptimizationBayesian InferenceCross-ValidationDimensionality ReductionPythonRSQLScikit-LearnPyTorchTensorFlowSupervised LearningUnsupervised LearningDeep LearningApache SparkApache HadoopNLP

Soft Skills

CommunicationDetail-OrientedIndependent WorkAsynchronous Collaboration

Preferred Qualifications

Technical (Nice-to-have)

Data AnnotationData Quality EvaluationAI Evaluation SystemsMLOpsCI/CDPrompt EngineeringLanguage Model EvaluationTechnical Documentation

Key Responsibilities

•Design Complex Challenges: Create advanced, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that genuinely push AI to its limits
•Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the definitive "golden" benchmark responses
•Audit AI-Generated Code: Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundness
•Refine AI Reasoning: Diagnose logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and deliver structured, actionable feedback that improves how models think
•Document Failure Modes: Systematically capture how and where AI reasoning breaks down across machine learning theory, statistical inference, neural network architectures, and data engineering pipelines

Data ScientistAI TrainerMachine LearningContractRemoteTechnologyAI EvaluationPythonSQLData Science

Core Qualifications

Technical (Must-have)

Soft Skills

CommunicationDetail-OrientedIndependent WorkAsynchronous Collaboration

Key Responsibilities

•Design Complex Challenges: Create advanced, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that genuinely push AI to its limits

•Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the definitive "golden" benchmark responses

•Audit AI-Generated Code: Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundness

•Refine AI Reasoning: Diagnose logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and deliver structured, actionable feedback that improves how models think

•Document Failure Modes: Systematically capture how and where AI reasoning breaks down across machine learning theory, statistical inference, neural network architectures, and data engineering pipelines