Remote Data Scientist — AI Evaluation & Research (Masters)

Alignerr Corp.; Wollongong City Council; On-site; AUD 118,000 - 236,000; Part time

Job summary

Alignerr is seeking a Data Scientist (Masters) to help challenge, audit, and improve cutting-edge AI systems. You will design complex data problems, craft rigorous Python/R solutions, and evaluate AI outputs across frameworks like Scikit-Learn, PyTorch and TensorFlow.

This remote, freelance role offers 10–40 hours per week and requires clear communication of complex results. Applicants should hold a Master’s/PhD in a quantitative field and be detail-oriented, with strong ML/NLP knowledge and the

Qualifications

• Pursuing or holding a Master’s/PhD in a quantitative field with data analysis emphasis.
• Strong knowledge across supervised/unsupervised learning, deep learning, NLP or big data tech (Spark/Hadoop).
• Ability to communicate complex results in writing with precision.
• Naturally detail-oriented and able to spot errors in code and math notation.
• No prior AI or data annotation experience required.

Responsibilities

• Design advanced challenges spanning hyperparameter optimization and Bayesian inference.
• Author ground-truth solutions with Python/R scripts and SQL queries.
• Audit AI-generated code for correctness, efficiency, and soundness.
• Provide structured, actionable feedback to improve AI model reasoning.

Skills

Hyperparameter optimization

Bayesian inference

Cross-validation

Dimensionality reduction

Python

SQL

R

Deep learning

Education

Master's degree in Data Science or related

PhD in a quantitative field

Tools

Python

R

SQL

Scikit-Learn

PyTorch

TensorFlow

Job description

Alignerr is seeking a Data Scientist (Masters) to help challenge, audit, and improve cutting-edge AI systems. You will design complex data problems, craft rigorous Python/R solutions, and evaluate AI outputs across frameworks like Scikit-Learn, PyTorch and TensorFlow.

This remote, freelance role offers 10–40 hours per week and requires clear communication of complex results. Applicants should hold a Master’s/PhD in a quantitative field and be detail-oriented, with strong ML/NLP knowledge and the