Data Science Expert - AI Content Specialist

Data Science Expert – AI Content Specialist
About The Role
What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI models think and reason?
We're looking for experienced data scientists to join Alignerr and work alongside leading AI research labs — designing hard problems, authoring expert solutions, and stress-testing AI reasoning at a technical level most roles never reach.
This is a fully remote, flexible contract role built for senior 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 — Create rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
Author Ground-Truth Solutions — Develop step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as authoritative "golden responses"
Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practice adherence
Sharpen AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback that improves model behavior
Work Independently — Complete task-based assignments asynchronously on a schedule that works for you
Who You Are
Hold or are pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
Able to communicate complex algorithmic and statistical concepts clearly in writing
Precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions
No prior AI industry experience required — your domain expertise is what matters
Nice to Have
Experience with data annotation, data quality workflows, or evaluation systems
Familiarity with production-level data science practices such as MLOps or CI/CD for models
Background in academic research, technical writing, or peer review
Why Join Us
Work directly with industry-leading large language models on technically challenging problems
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, task-based assignments
High-agency contractor environment with international reach
Potential for ongoing work and contract extension as new AI projects launch

Work arrangement
Yes