Data Science Expert - AI Content Specialist

Alignerr; Edmonton; Remote; CAD 115,000 - 231,000; Part time

Job summary

Alignerr Corp. is seeking a Data Science Expert to stress-test AI reasoning, author gold-standard solutions, and provide expert feedback for cutting-edge language models. This fully remote, hourly contract role offers flexible scheduling and collaboration with top AI researchers.

You will design challenges, craft rigorous solutions in Python/R, and audit AI-generated code for correctness and efficiency. Ideal candidates hold an advanced degree in data science or related field and can communicate

Qualifications

• Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
• Strong foundational expertise in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Able to communicate complex algorithmic concepts and statistical findings clearly in writing
• Highly precise when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
• No prior AI or annotation experience required — your domain expertise is what matters

Responsibilities

• Design Advanced Challenges — Craft complex, domain-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the benchmark for AI responses
• Audit AI-Generated Code — Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing them for correctness, efficiency, and best practices
• Sharpen AI Reasoning — Identify logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback that improves how models think

Skills

Machine Learning

Statistics

Data Engineering

NLP

Python

SQL

Education

Master's or PhD in Data Science or related field

Tools

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

Job description

Data Science Expert — AI Content Specialist

What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the world's most advanced AI systems reason and respond? We're looking for Data Science Experts to work with Alignerr — a team that partners with leading AI research labs to build and refine cutting‑edge language models. Your job is to stress‑test AI reasoning, author gold‑standard solutions, and provide the kind of expert feedback that makes these models genuinely smarter.

This is a fully remote, flexible contract role built for data science professionals who want meaningful work on their own schedule.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Challenges — Craft complex, domain‑rich data science problems spanning hyperparameter optimization, Bayesian inference, cross‑validation strategies, dimensionality reduction, and more
• Author Ground‑Truth Solutions — Develop rigorous, step‑by‑step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the benchmark for AI responses
• Audit AI‑Generated Code — Evaluate AI outputs using libraries like Scikit‑Learn, PyTorch, and TensorFlow, assessing them for correctness, efficiency, and best practices
• Sharpen AI Reasoning — Identify logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback that improves how models think

Who You Are

• Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
• Strong foundational expertise in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Able to communicate complex algorithmic concepts and statistical findings clearly in writing
• Highly precise when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
• No prior AI or annotation experience required — your domain expertise is what matters

Nice to Have

• Experience with data annotation, data quality workflows, or evaluation systems
• Familiarity with production‑level data science practices such as MLOps or CI/CD for models

Why Join Us

• Work directly with industry‑leading AI language models on problems that actually matter
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with the structure of meaningful, task‑based projects
• Contribute to AI development that shapes how these systems reason through real‑world data science problems
• Potential for ongoing work and contract extension as new projects launch