AI Data Trainer (Masters) — Remote, Flexible Contract

Alignerr; Wellington; On-site; NZD 144,000 - 287,000; Part time

Job summary

Alignerr is seeking Masters- or PhD-level data scientists to challenge and audit cutting-edge AI models, stress-testing reasoning and identifying blind spots. You will craft complex data science problems, provide rigorous ground-truth solutions in Python/R and SQL, and evaluate model outputs for correctness and efficiency.

This is a fully remote, hourly-contract role with 10–40 hours per week. You’ll work independently on flexible projects and contribute to ongoing AI initiatives at Alignerr.

Qualifications

• Pursuing or holding a Masters or PhD in Data Science, Statistics, Computer Science, or a heavily quantitative field.
• Strong foundational knowledge across core areas — supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP.
• Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing.
• Naturally detail-oriented — you catch syntax errors, notation inconsistencies, and flawed statistical conclusions that others miss.
• Self-motivated and reliable when working independently without supervision.
• No prior AI or data annotation experience required.

Responsibilities

• Design Advanced Challenges — Craft complex, domain-spanning data science problems covering areas like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction
• 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 benchmark for AI responses
• Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundness
• Identify Reasoning Failures — Spot logical flaws in AI reasoning — data leakage, overfitting, improper handling of imbalanced datasets — and deliver structured feedback that meaningfully improves model behavior
• Work Independently — Complete task-based assignments asynchronously on your own schedule

Skills

Python

R

SQL

Statistical modeling

Machine learning

Education

Masters or PhD in Data Science / Statistics / Computer Science

Tools

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

Job description

Alignerr is seeking Masters- or PhD-level data scientists to challenge and audit cutting-edge AI models, stress-testing reasoning and identifying blind spots. You will craft complex data science problems, provide rigorous ground-truth solutions in Python/R and SQL, and evaluate model outputs for correctness and efficiency.

This is a fully remote, hourly-contract role with 10–40 hours per week. You’ll work independently on flexible projects and contribute to ongoing AI initiatives at Alignerr.