Remote Data Science & AI Model Evaluation Expert

Alignerr Corp.; France; Remote; EUR 14,000 - 55,000; Full time

Job summary

Alignerr is seeking a Data Science Expert to stress-test AI models, evaluate reasoning, and expose blind spots in cutting-edge systems. You will craft advanced challenges and provide rigorous, reference solutions using Python/R, SQL, and statistical derivations.

The role is fully remote, hourly contract, with 10–40 hours per week, ideal for candidates pursuing or holding a Master's or PhD in a quantitative field and with strong ML fundamentals. Flexible schedule and ongoing opportunities.

Qualifications

• Holds or is pursuing a Master's or PhD in a quantitative field.
• Strong foundation in supervised and unsupervised learning, deep learning, and statistics.
• Able to communicate complex algorithmic concepts clearly in writing.

Responsibilities

• Design Advanced Challenges — craft complex data science problems across domains.
• Author Gold-Standard Solutions — provide rigorous, reference solutions with code and math.
• Audit AI-Generated Code — evaluate model outputs for correctness and efficiency.
• Refine Model Reasoning — identify failures and provide actionable feedback.
• Document Failure Modes — record where AI reasoning breaks down for teams.

Skills

Supervised learning

Unsupervised learning

Deep learning

Statistical inference

Big data tech (Spark/Hadoop)

Technical communication

Attention to detail

Self-directed work

Education

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

Tools

Scikit-Learn

PyTorch

TensorFlow

SQL

Python/R

Job description

Alignerr is seeking a Data Science Expert to stress-test AI models, evaluate reasoning, and expose blind spots in cutting-edge systems. You will craft advanced challenges and provide rigorous, reference solutions using Python/R, SQL, and statistical derivations.

The role is fully remote, hourly contract, with 10–40 hours per week, ideal for candidates pursuing or holding a Master's or PhD in a quantitative field and with strong ML fundamentals. Flexible schedule and ongoing opportunities.