Data Science Expert - AI Content Specialist

Careers

Auckland

Remoto

NZD 83.000 - 165.000

Tempo parcial

Há 3 dias
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Resumo da vaga

Alignerr is seeking a Data Science Expert to stress-test, evaluate, and improve AI models. You will craft advanced data science challenges and provide rigorous, step-by-step technical solutions including Python/R code, SQL queries, and mathematical derivations.

You will audit AI-generated code using Scikit-Learn, PyTorch, and TensorFlow, and document errors to improve model reasoning. Requires MSc/PhD in a quantitative field and strong written communication.

Qualificações

  • Master's or PhD in Data Science, Statistics, CS, or related quantitative field.
  • Strong ability to explain complex algorithms and statistics in writing.
  • Exceptional attention to detail in code and derivations.
  • No required prior AI annotation experience.

Responsabilidades

  • Design complex data science challenges to probe AI reasoning using advanced methods.
  • Author ground-truth solutions with Python/R, SQL queries, and mathematical derivations.
  • Audit AI-generated code for correctness, efficiency, and best practices using major libraries.
  • Identify and document failures (data leakage, overfitting, imbalanced data) and provide feedback.

Conhecimentos

Supervised learning
Unsupervised learning
Deep learning
Big data
NLP
Written communication
Attention to detail

Formação

Master's or PhD in Data Science

Ferramentas

Scikit-Learn
PyTorch
TensorFlow
SQL

Descrição da vaga

Data Science Expert -- AI Content Specialist About The Role


What if your deep knowledge of machine learning, statistics, and data engineering could directly shape the intelligence of tomorrow's AI systems? We're looking for Data Science Experts to stress-test, evaluate, and improve cutting-edge AI models --- uncovering their blind spots and helping them reason more accurately across complex technical domains.


This is a fully remote, flexible contract role built for experienced data scientists who want meaningful, intellectually stimulating work on their own schedule.



  • Organization: Alignerr

  • Type: Hourly Contract

  • Location: Remote

  • Commitment: 10--40 hours/week


What You'll Do


  • Design Complex Challenges --- Craft advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more to probe the limits of AI reasoning

  • Author Ground-Truth Solutions --- Develop rigorous, step-by-step technical responses including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for model evaluation

  • Audit AI-Generated Code --- Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing for correctness, efficiency, and best practices

  • Refine AI Reasoning --- Identify and document logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, then provide structured feedback to improve how models think and respond


Who You Are


  • Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field

  • Strong foundational expertise in areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP

  • Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing

  • Exceptionally detail-oriented --- you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss

  • No prior AI or annotation experience required


Nice to Have


  • Experience with data annotation, data quality assurance, or model evaluation workflows

  • Familiarity with production-level data science practices such as MLOps or CI/CD pipelines for models


Why Join Us


  • Work directly with industry-leading AI models and contribute to their development at the frontier of AI research

  • Fully remote and asynchronous --- work on your own schedule, from anywhere in the world

  • Freelance autonomy with high-impact, intellectually engaging work

  • Ongoing contract renewal opportunities as new projects launch

  • Be part of a global network of domain experts shaping the future of AI


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