Remote Data Science & AI Content Expert (Contract)

Alignerr Corp.; United States; Remote; AUD 96,000 - 165,000; Full time

Job summary

Alignerr is seeking a Data Science Expert – AI Content Specialist to craft rigorous data science challenges and expert solutions. You’ll audit AI-generated work, ensuring correctness across Python/R scripts, SQL queries, and mathematical derivations, while shaping model reasoning and failure-mode documentation.

You’ll work remotely on a flexible hourly contract, 10–40 hours per week, collaborating with leading AI research teams to push the boundaries of machine learning.

Qualifications

• Currently pursuing or holding a Master’s or PhD in a quantitative field.
• Strong foundations in supervised/unsupervised learning and deep learning.
• Ability to communicate complex algorithms clearly in writing.
• High precision to catch errors in code and notation.
• Independent, task-based work mindset.

Responsibilities

• Design advanced data science challenges spanning optimization and Bayesian methods.
• Author step-by-step solutions with Python/R, SQL, and derivations.
• Audit AI-generated code for correctness and efficiency.
• Refine AI reasoning by identifying flaws and providing feedback.
• Document failure modes of AI models for research teams.

Skills

Supervised/Unsupervised learning

Deep learning

NLP

Big data (Spark/Hadoop)

Communication skills

Attention to detail

Self-motivation

Education

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

Tools

Python

R

SQL

Scikit-Learn

PyTorch

TensorFlow

Job description

Alignerr is seeking a Data Science Expert – AI Content Specialist to craft rigorous data science challenges and expert solutions. You’ll audit AI-generated work, ensuring correctness across Python/R scripts, SQL queries, and mathematical derivations, while shaping model reasoning and failure-mode documentation.

You’ll work remotely on a flexible hourly contract, 10–40 hours per week, collaborating with leading AI research teams to push the boundaries of machine learning.