Data Science Expert - AI Content Specialist

Data Science Expert — AI Content Specialist
About The Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape the intelligence of tomorrow's AI systems? We're looking for Data Science Experts to challenge, evaluate, and improve cutting-edge language models — exposing their blind spots and helping them reason more rigorously about complex technical problems.
This is a fully remote, flexible contract role designed for data science professionals who want to do 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 Advanced Challenges — Craft complex, domain-spanning data science problems covering topics like hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive benchmarks for AI evaluation
Audit AI-Generated Code — Critically evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing them for correctness, efficiency, and technical soundness
Refine Model Reasoning — Identify logical failures in AI outputs — such as data leakage, overfitting, or mishandled class imbalance — and provide structured feedback that directly improves how these models think and respond
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 data science domains: supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
Exceptionally detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions
No prior AI or annotation experience required — your domain expertise is what matters
Nice to Have
Experience with data annotation, data quality assurance, or evaluation pipelines
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 on projects with the world's leading AI research labs and teams
Fully remote and asynchronous — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert-level technical work
High-impact contributions: your feedback directly shapes the reasoning ability of advanced AI systems
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes