Remote AI Data Scientist: Master’s Challenge Designer

Alignerr Corp.

United States

Remote

GBP 41,000 - 124,000

Part time

4 hours ago
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Benefits offered by this job

Remote work
Freelance autonomy

Job summary

Alignerr is seeking a Data Scientist (Masters) to act as an AI Data Trainer. This fully remote hourly contract role focuses on designing advanced data science challenges, authoring rigorous solutions, and auditing AI-generated code.

You will work independently on flexible, task-based assignments and refine model reasoning from the inside out. The ideal candidate has graduate-level training in data science or related fields, strong ML/DL/NLP foundations, and excellent writing of technical

Qualifications

  • Master’s or PhD in Data Science, Statistics, CS, or a quantitative field.
  • Strong foundational knowledge across supervised/unsupervised learning, DL, NLP and big data technologies.
  • Able to communicate technical concepts clearly in writing.

Responsibilities

  • Design advanced challenges spanning hyperparameter optimization, Bayesian inference, cross‑validation strategies, and dimensionality reduction.
  • Author ground-truth solutions with Python/R, SQL queries, and mathematical derivations.
  • Audit AI-generated code using libraries like Scikit-learn, PyTorch, and TensorFlow for correctness and efficiency.
  • Refine AI reasoning by documenting and addressing data leakage, overfitting, and class imbalance issues.
  • Work independently on task-based assignments with flexible scheduling.

Skills

Machine learning
Statistics
Data analysis
Big data

Education

Master's or PhD in Data Science/Statistics/CS

Tools

Scikit-learn
PyTorch
TensorFlow
Spark/Hadoop

Job description

Alignerr is seeking a Data Scientist (Masters) to act as an AI Data Trainer. This fully remote hourly contract role focuses on designing advanced data science challenges, authoring rigorous solutions, and auditing AI-generated code.

You will work independently on flexible, task-based assignments and refine model reasoning from the inside out. The ideal candidate has graduate-level training in data science or related fields, strong ML/DL/NLP foundations, and excellent writing of technical

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