Data Scientist (Masters)

Alignerr; Edmonton; Remote; CAD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Ongoing project opportunities

Job summary

Alignerr Corp. is seeking a Data Scientist (Masters) to act as an AI data trainer on a fully remote hourly contract. The role focuses on auditing, refining, and ground-truthing cutting-edge AI models through rigorous data science tasks and rigorous documentation.

You will design challenging problems, author reference solutions, and evaluate AI outputs using popular ML libraries. Independent, detail-oriented work with flexible hours is expected.

Qualifications

• Graduate degree in a quantitative field with strong data focus.
• Demonstrated mastery of core data science concepts and ML methods.
• Ability to translate complex results into clear explanations.
• Attention to detail in code, math notation, and results.

Responsibilities

• Design complex data science challenges across advanced topics.
• Write rigorous ground-truth solutions with scripts and SQL.
• Audit AI-generated code for correctness and efficiency.
• Identify and report failure modes in AI reasoning and data handling.
• Document model limitations and provide actionable feedback.

Skills

Data science

Supervised learning

Unsupervised learning

Deep learning

Statistical inference

Big data

Python

SQL

R

Documentation

Education

Master's or PhD

Data Science/Statistics/CS

Tools

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

CI/CD

Job description

Data Scientist (Masters) - AI Data Trainer

About The Role

What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and problem-solve? We're looking for data scientists with graduate-level training to challenge, audit, and refine cutting-edge AI models - exposing their blind spots and building the ground-truth solutions that make them smarter.

This is a fully remote, flexible contract role. No prior AI industry experience needed - just deep, rigorous command of data science and a sharp eye for technical accuracy.

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

What You'll Do

• Design Complex Challenges - Develop advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions - Write rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers
• Audit AI-Generated Code - Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundness
• Sharpen AI Reasoning - Identify logical failures in AI reasoning - data leakage, overfitting, improper handling of imbalanced datasets - and deliver structured feedback that directly improves how these models think
• Document Failure Modes - Systematically record how and where advanced language models break down on data science tasks, helping research teams harden model reliability

Who You Are

• Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative discipline with a strong data focus
• Deeply fluent in core data science concepts: supervised and unsupervised learning, deep learning, statistical inference, and big data technologies
• Able to translate complex algorithmic concepts and statistical results into clear, precise written explanations
• Exceptionally detail-oriented - you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
• Comfortable working independently and asynchronously without hand-holding
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality evaluation, or AI model assessment workflows
• Proficiency in production data science environments - MLOps, CI/CD for models, model monitoring
• Familiarity with NLP, computer vision, or large-scale distributed computing (Spark, Hadoop)
• Background in technical writing, research, or academic publishing

Why Join Us

• Work directly with industry-leading AI research teams and cutting-edge language models
• Fully remote and flexible - structure your hours around your life
• Freelance autonomy with meaningful, intellectually stimulating work
• Contribute to AI development that shapes the future of data science reasoning at scale
• Potential for ongoing contract renewals as new projects launch