Data Science Expert - AI Content Specialist

Data Science Expert – AI Content Specialist
About The Role
What if your expertise in machine learning and statistics could directly shape how the world's most advanced AI systems reason, code, and solve problems?
We're looking for Data Science Experts to work alongside leading AI research labs, stress-testing and refining frontier language models. You'll design hard problems, write gold-standard solutions, and expose the gaps in AI reasoning — work that has a direct and lasting impact on how AI performs for data scientists everywhere.
This is a fully remote, flexible contract role built for experienced practitioners 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 Advanced Challenges — Craft rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
Author Gold-Standard Solutions — Produce meticulous, 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 outputs from libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
Sharpen AI Reasoning — Identify logical failures such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured feedback to improve model thinking
Document Failure Modes — Systematically record where and how AI models break down, contributing to the ongoing hardening of model reasoning across complex data science domains
Who You Are
Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis
Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing
Highly detail-oriented — you catch subtle errors in code syntax, mathematical notation, and statistical conclusions
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 assessment, or evaluation systems
Proficiency in production-level data science workflows — MLOps, CI/CD pipelines for models, or similar
Familiarity with model evaluation frameworks or benchmark design
Why Join Us
Work directly with industry-leading language models at the frontier of AI development
Fully remote and async — work when and where it suits you
Freelance autonomy with the structure of meaningful, intellectually challenging work
Collaborate with a global network of top-tier technical experts
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No