3 days ago

Data Scientist (Masters)

Alignerr

Australia

3 days ago

Apply

Alignerr is seeking a Data Scientist (Masters) for a fully remote, flexible contract role as an AI Data Trainer. The position involves designing advanced data science challenges, authoring ground-truth solutions, auditing AI-generated work, and sharpening AI reasoning. Candidates must have graduate-level training in data science or a related quantitative field and deep expertise in machine learning, statistical inference, and data engineering.

Core AIRemoteContractEntry LevelMachine LearningStatistical Inference

Data Scientist (Masters)

Apply

Core AIRemoteContractEntry LevelMachine Learning

Salary

Not specified

Work Location

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 EngineeringPythonRSQLScikit-LearnPyTorchTensorFlowApache SparkApache HadoopNLPHyperparameter OptimizationBayesian InferenceCross-ValidationDimensionality Reduction

Soft Skills

Analytical MindCommunicationDetail-OrientedSelf-DirectedIndependent Work

Preferred Qualifications

Technical (Nice-to-have)

Data AnnotationData Quality AssuranceModel EvaluationMLOpsCI/CDPrompt EngineeringLarge Language Models

Key Responsibilities

•Design Advanced Challenges: Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — specifically designed to stress-test AI reasoning
•Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as definitive reference answers
•Audit AI-Generated Work: Critically evaluate AI-produced code (Scikit-Learn, PyTorch, TensorFlow), data visualizations, and statistical summaries for correctness, efficiency, and best practices
•Sharpen AI Reasoning: Identify and document logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that directly improves model behavior

Data ScientistAI Data TrainerMachine LearningContractRemoteTechnologyAIData Science

Core Qualifications

Technical (Must-have)

Soft Skills

Analytical MindCommunicationDetail-OrientedSelf-DirectedIndependent Work

Key Responsibilities

•Design Advanced Challenges: Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — specifically designed to stress-test AI reasoning

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

•Audit AI-Generated Work: Critically evaluate AI-produced code (Scikit-Learn, PyTorch, TensorFlow), data visualizations, and statistical summaries for correctness, efficiency, and best practices

•Sharpen AI Reasoning: Identify and document logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that directly improves model behavior