Data Science Expert – AI Content Specialist
About The Role
What if your data science knowledge could directly shape the intelligence of tomorrow's most advanced AI systems? We're looking for Data Science Experts to stress-test, evaluate, and improve cutting‑edge language models — exposing their blind spots, correcting their reasoning, and setting the standard for what great data science looks like.
This is a fully remote, flexible contract role designed for experienced data scientists, statisticians, and ML practitioners 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 — Develop complex, domain‑specific 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 the definitive “gold standard” responses
* Audit AI‑Generated Code — Evaluate model outputs using libraries like Scikit‑Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
* Sharpen AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, 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 quantitative field with heavy emphasis on data analysis
* Strong foundational knowledge across core areas: supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
* Able to communicate complex algorithmic and statistical concepts clearly and concisely in writing
* Highly precise when reviewing code syntax, mathematical notation, and statistical conclusions
* Self‑motivated and reliable when working independently on task‑based assignments
* No prior AI or annotation experience required
Nice to Have
* Experience with data annotation, data quality assurance, or evaluation systems
* Proficiency in production‑level data science workflows such as MLOps or CI/CD for models
* Familiarity with prompt engineering or working alongside AI systems
Why Join Us
* Work directly with industry‑leading AI language models at the frontier of AI research
* Fully remote and async — work when and where you perform best
* Freelance autonomy with the structure of meaningful, technically challenging work
* Contribute to AI development that has a real impact on how these systems reason about data science
* Potential for ongoing work and contract extension as new projects launch
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