Remote Data Science Expert — AI Problem Designer

Alignerr

Wellington

On-site

NZD 83,000 - 165,000

Part time

5 days ago
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Benefits offered by this job

Fully remote work
Flexible hours
Potential for ongoing work

Job summary

Alignerr is seeking a Data Science Expert - AI Content Specialist for a fully remote hourly contract. The role involves designing hard data science problems, building gold-standard solutions, and auditing AI-generated code to improve model reasoning.

Collaboration with leading AI research labs is central to the work. Applicants should have advanced degrees or be pursuing them in quantitative fields, with deep expertise in ML/DL, NLP, and big data.

Qualifications

  • Master's or PhD in a quantitative field with strong data analysis emphasis.
  • Strong knowledge in supervised/unsupervised learning, deep learning, NLP or big data technologies.

Responsibilities

  • Design challenging data science problems across advanced topics such as hyperparameter optimization and Bayesian inference.
  • Build ground-truth solutions with rigorous, step-by-step technical demonstrations including Python/R scripts and SQL queries.
  • Audit AI-generated code for correctness, efficiency, and best practices across libraries.
  • Sharpen AI reasoning by identifying data leakage, overfitting, and imbalanced datasets and providing structured feedback.

Skills

Data analysis
Supervised learning
Unsupervised learning
Deep learning
NLP
Statistical concepts

Education

Master's or PhD in Data Science/Statistics/CS or related with strong data analysis

Tools

Python
R
SQL
Scikit-Learn
PyTorch
TensorFlow

Job description

Alignerr is seeking a Data Science Expert - AI Content Specialist for a fully remote hourly contract. The role involves designing hard data science problems, building gold-standard solutions, and auditing AI-generated code to improve model reasoning.

Collaboration with leading AI research labs is central to the work. Applicants should have advanced degrees or be pursuing them in quantitative fields, with deep expertise in ML/DL, NLP, and big data.

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