Remote Data Science Expert for AI Evaluation & Research

Alignerr Corp.; Ireland; Remote; EUR 83,000 - 152,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Job summary

Alignerr Corp. is seeking a Data Science Expert – AI Content Specialist to stress-test and train state-of-the-art language models on complex data science problems.

The role is fully remote and on an hourly contract, with 10–40 hours per week, offering flexible scheduling and collaboration with leading AI research labs. The candidate will design rigorous challenges, author gold-standard solutions, and audit AI outputs across major ML libraries while iterating on model reasoning and failure modes.

Qualifications

• Advanced degree in Data Science, Statistics, Computer Science, or a quantitative field (Master's pursuing/completed or PhD).
• Strong analytical writing skills with ability to translate complex concepts.
• Exceptional attention to detail in code, math notation, and results.

Responsibilities

• Design advanced data science problems spanning hyperparameter optimization and Bayesian inference.
• Author ground-truth solutions with Python/R scripts and SQL queries.
• Audit AI-generated code across Scikit-Learn, PyTorch, and TensorFlow for accuracy and efficiency.
• Refine AI reasoning by identifying data leakage, overfitting, and imbalanced datasets.
• Document failure modes to help research teams harden model behavior.

Skills

Analytical writing

Attention to detail

Independent work

Asynchronous collaboration

Education

Advanced degree in Data Science / Statistics / CS or quantitative field (MS/PhD)

Tools

Python/R

Scikit-Learn/Torch/TensorFlow

SQL

Spark/Hadoop

NLP

Job description

Alignerr Corp. is seeking a Data Science Expert – AI Content Specialist to stress-test and train state-of-the-art language models on complex data science problems.

The role is fully remote and on an hourly contract, with 10–40 hours per week, offering flexible scheduling and collaboration with leading AI research labs. The candidate will design rigorous challenges, author gold-standard solutions, and audit AI outputs across major ML libraries while iterating on model reasoning and failure modes.