AI Data Scientist (Masters) - Remote Data Trainer

Alignerr Corp.; Sydney; Remote; AUD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a Data Scientist (Masters) to stress-test cutting-edge AI models, design rigorous challenges, and author gold-standard solutions. This fully remote hourly contract runs 10–40 hours per week and focuses on shaping AI reasoning with high-quality benchmarks.

You will audit AI outputs using Scikit-Learn, PyTorch, and TensorFlow, and provide structured feedback to improve model behavior. Strong communication and quantitative skills are essential.

Qualifications

• Pursuing or holding a Master's or PhD in a quantitative field.
• Strong foundation in ML, statistics, and data engineering.
• Proficient with Python/R and data science libraries.
• Ability to design robust ML challenges and benchmarks.

Responsibilities

• Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction — problems that push AI reasoning to its limits
• Author ground-truth solutions — rigorous, step-by-step technical responses including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI performance
• Audit AI-generated code and analysis using libraries like Scikit-Learn, PyTorch, and TensorFlow — evaluating outputs for technical accuracy, efficiency, and correctness
• Identify and document reasoning failures — spotting issues like data leakage, overfitting, improper handling of imbalanced datasets, or flawed statistical conclusions, then providing structured feedback to improve model behavior
• Work independently and asynchronously on task-based assignments — fully on your own schedule

Skills

Supervised/unsupervised learning

Deep learning

Statistical inference

Big data technologies (Spark, Hadoop)

Strong written communication

Education

Master's or PhD in Data Science/Statistics/CS or quantitative field

Tools

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

Job description

Alignerr is seeking a Data Scientist (Masters) to stress-test cutting-edge AI models, design rigorous challenges, and author gold-standard solutions. This fully remote hourly contract runs 10–40 hours per week and focuses on shaping AI reasoning with high-quality benchmarks.

You will audit AI outputs using Scikit-Learn, PyTorch, and TensorFlow, and provide structured feedback to improve model behavior. Strong communication and quantitative skills are essential.