Data Scientist (Masters)

Job Title: Data Scientist (Masters) Company: Alignerr Job Category: Machine Learning Roles & Responsibilities: Data Scientist (Masters) — AI Data Trainer About The Role What if your expertise in machine learning, statistical modeling, and data engineering could directly shape how the world's most advanced AI systems think and reason? We're looking for Masters\-level data scientists to challenge, audit, and refine cutting\-edge AI models — stress\-testing their reasoning, catching their blind spots, and helping them get smarter. What You'll Do * 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 Why Join Us * Work directly on cutting\-edge AI projects alongside the world's leading research labs * Fully remote and flexible — work when and where it suits you * Freelance autonomy with the structure of meaningful, intellectually stimulating work * Engage hands\-on with industry\-leading large language models at the frontier of AI development * Potential for ongoing work and contract renewals as new projects launch Work Location: Wellington, Wellington, New Zealand Availability: Full time

Who You Are * 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 Key Skills: Machine Learning, Python, TensorFlow, PyTorch, NLP, Computer Vision Salary: USD 40 - 80 per hourly