AI Data Scientist (Masters) — Remote Model Auditor

Alignerr Corp.

Auckland

Remote

NZD 96,000 - 165,000

Part time

3 hours ago
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Benefits offered by this job

Remote work

Job summary

Alignerr is seeking a Data Scientist (Masters) to design complex data science challenges and author rigorous, benchmark-grade solutions for AI model evaluation.

You will audit AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, and provide structured feedback to harden model reasoning. This is a remote hourly contract with flexible hours and ongoing project renewals.

Qualifications

  • Pursuing or holding a Master’s or PhD in Data Science, Statistics, Computer Science, or a quantitative field with strong data analysis.
  • Strong knowledge of supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
  • Able to communicate complex algorithmic concepts and statistics in writing.
  • Detail-oriented with focus on catching errors in code, math, and conclusions.
  • Self-directed and reliable for independent technical work.
  • No prior AI industry experience required.

Responsibilities

  • Design advanced challenges spanning hyperparameter optimization, Bayesian inference, cross-validation, and dimensionality reduction.
  • Author ground-truth solutions with Python/R scripts, SQL queries, and derivations.
  • Audit AI-generated code using Scikit-Learn, PyTorch, and TensorFlow for accuracy and efficiency.
  • Identify logical failures in AI outputs and provide structured feedback to improve model reasoning.
  • Document failure modes by stress-testing model responses across ML theory and data pipelines.

Skills

Python
SQL
PyTorch
TensorFlow
R
Data Viz

Education

Master's in Data Science/Statistics/CS
PhD preferred

Tools

Scikit-Learn
PyTorch
TensorFlow
Spark

Job description

Alignerr is seeking a Data Scientist (Masters) to design complex data science challenges and author rigorous, benchmark-grade solutions for AI model evaluation.

You will audit AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, and provide structured feedback to harden model reasoning. This is a remote hourly contract with flexible hours and ongoing project renewals.

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