Data Science Expert - AI Content Specialist

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

Benefits offered by this job

Fully remote work

Freelance autonomy

Contract extension opportunities

Job summary

Alignerr is seeking a Data Science Expert — AI Content Specialist to train and evaluate cutting-edge AI models. You will design challenging data science problems, author authoritative solutions (Python/R, SQL, math derivations), and audit AI outputs to improve model reasoning.

This fully remote, flexible role is ideal for researchers and quantitative experts who want meaningful, schedule-based work. The candidate should hold a Master’s or PhD in a quantitative field and be fluent in ML, NLP, and

Qualifications

• Master’s or PhD in Data Science, Statistics, CS, or related field.
• Strong knowledge in supervised/unsupervised learning, deep learning, NLP, or big data tech (Spark/Hadoop).
• Able to clearly communicate complex algorithms and statistics in writing.
• Highly precise with code syntax, mathematical notation, and statistical validity.
• Self-directed and comfortable working independently on tasks.
• No prior AI annotation experience required.

Responsibilities

• Design rigorous data science challenges across ML topics.
• Write step-by-step ground-truth solutions with code and SQL.
• Audit AI outputs for correctness, efficiency, and best practices in models.
• Provide structured feedback to improve model reasoning.

Skills

Supervised learning

Unsupervised learning

Deep learning

NLP

Big data (Spark/Hadoop)

Education

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

Tools

Python

R

SQL

Scikit-Learn

PyTorch

TensorFlow

Job description

Data Science Expert — AI Content Specialist

About The Role

What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the world's most advanced AI systems think and reason? We're looking for experienced data scientists to help train and evaluate cutting‑edge AI models at Alignerr. You'll design complex technical challenges, author authoritative solutions, and audit AI-generated outputs — directly improving how these models handle real data science problems. This is a fully remote, flexible contract role built for working data scientists, researchers, and quantitative experts who want meaningful, intellectually stimulating work on their own schedule.

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

What You'll Do

• Design Complex Challenges: Craft rigorous, domain-spanning data science problems across areas like hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions: Write step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as definitive reference answers for AI training
• Audit AI Outputs: Evaluate AI-generated code (using libraries like Scikit-Learn, PyTorch, and TensorFlow), data visualizations, and statistical summaries for correctness, efficiency, and best practices
• Sharpen AI Reasoning: Identify logical flaws in model reasoning — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured feedback that improves how AI models think through problems

Who You Are

• Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
• Strong foundational knowledge in core areas such as supervised and unsupervised learning, deep learning, NLP, or big data technologies (Spark, Hadoop)
• Able to communicate complex algorithmic concepts and statistical results clearly and concisely in writing
• Highly precise when it comes to code syntax, mathematical notation, and statistical validity
• Self-directed and comfortable working independently on task-based assignments
• No prior AI or annotation experience required

Nice to Have

• Experience with data annotation, data quality, or evaluation systems
• Familiarity with production-level data science workflows such as MLOps or CI/CD for models
• Background in academic research or technical writing

Why Join Us

• Work directly with industry-leading language models on intellectually challenging problems
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with the structure of meaningful, well-defined tasks
• Contribute to AI development that advances the frontier of machine reasoning
• Potential for ongoing work and contract extension as new projects launch