Data Scientist (Masters)

Alignerr Corp.; Auckland; À distance; NZD 96 000 - 165 000; Temps partiel

Avantages offerts par ce poste

Remote work

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

SQL

PyTorch

TensorFlow

R

Data Viz

Formation

Master's in Data Science/Statistics/CS

PhD preferred

Outils

Scikit-Learn

PyTorch

TensorFlow

Spark

Description du poste

Data Scientist (Masters) — AI Data Trainer

About The Role

What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and respond?

We're looking for experienced data scientists to challenge, audit, and improve cutting-edge AI models — pushing them to their limits, exposing their blind spots, and building the gold-standard solutions that make them smarter. This is a fully remote, flexible contract role where your deep technical knowledge does meaningful work at the frontier of AI development.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Challenges — Create complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• 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 AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness
• Sharpen AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and deliver structured feedback that improves model reasoning
• Document Failure Modes — Stress-test model responses across ML theory, statistical inference, neural network architectures, and data engineering pipelines, capturing every gap so models can be hardened

Who You Are

• Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
• Strong foundational knowledge in 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
• Detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
• Self-directed and reliable when working independently on technical tasks
• No prior AI industry experience required

Nice to Have

• Prior experience with data annotation, data quality assurance, or model evaluation systems
• Proficiency in production-level data science workflows — MLOps, CI/CD for models, experiment tracking
• Familiarity with prompt engineering or AI benchmarking methodologies

Why Join Us

• Work at the cutting edge of AI development alongside world-leading research labs
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with meaningful, technically stimulating work
• Direct hands-on engagement with the most advanced language models in the field
• Potential for ongoing contract renewals as new AI projects launch