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 how the world's most advanced AI systems think and reason?
We're looking for Data Science Experts to help train cutting-edge AI models by designing rigorous technical challenges, authoring gold-standard solutions, and auditing AI-generated outputs for correctness and efficiency. Your expertise becomes the benchmark that the next generation of AI is measured against.
This is a fully remote, flexible contract role built for working data scientists, researchers, and advanced students who want to do meaningful technical 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 hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions including Python and R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI evaluation
Audit AI-Generated Code — Critically evaluate AI outputs built with Scikit-Learn, PyTorch, TensorFlow, and other major libraries for technical accuracy, efficiency, and best practices
Sharpen AI Reasoning — Identify logical flaws in AI-generated analysis — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured, actionable feedback to improve model reasoning
Work Independently — Complete task-based assignments asynchronously on a schedule that fits your life
Who You Are
Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a heavily quantitative field
Strong foundational expertise in core data science domains: supervised and unsupervised learning, deep learning, NLP, big data technologies (Spark, Hadoop), or statistical modeling
Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
Meticulous when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
Self-directed, reliable, and comfortable working independently on technical tasks
No prior AI or annotation experience required
Nice to Have
Prior experience with data annotation, data quality, or model evaluation workflows
Familiarity with production-level data science practices such as MLOps or CI/CD pipelines for models
Background in technical writing, academic research, or peer review
Why Join Us
Work directly on projects with industry-leading AI research labs and shape the frontier of large language model capabilities
Fully remote and asynchronous — work when and where you're most productive
Freelance autonomy with the structure and consistency of ongoing, task-based technical work
Engage with state-of-the-art AI systems at a depth few contractor roles offer
Potential for ongoing work and contract renewals as new projects launch

Work arrangement
No