Data Science Expert - AI Content Specialist

Data Science Expert – AI Content Specialist
About The Role
What if your expertise in 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 stress-test, evaluate, and improve cutting-edge AI models — working remotely on your own schedule.
This is a high-impact contractor role where your deep domain knowledge becomes the benchmark that the next generation of AI is trained against.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Complex Challenges — Craft advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more. Your problems become the proving ground for AI reasoning.
Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the gold standard for AI responses.
Audit AI-Generated Code — Evaluate outputs from models using libraries like Scikit-Learn, PyTorch, and TensorFlow. Assess correctness, efficiency, and technical quality across code, visualizations, and statistical summaries.
Sharpen AI Reasoning — Identify and document logical flaws in AI outputs — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured feedback that directly improves model intelligence.
Who You Are
Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
Strong foundational knowledge in one or more core areas: supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
Able to communicate complex algorithmic concepts and statistical results clearly and concisely in writing
Highly precise — you catch errors in code syntax, mathematical notation, and statistical reasoning
No prior AI experience required — your data science expertise is what matters
Nice to Have
Experience with data annotation, data quality, or AI evaluation workflows
Familiarity with production-level data science practices such as MLOps or CI/CD pipelines for models
Why Join Us
Work directly with industry-leading AI language models at the frontier of AI research
Fully remote and asynchronous — work when and where it suits you
Flexible weekly commitment (10–40 hours) that fits around your existing schedule
High-autonomy freelance work with meaningful, intellectually stimulating tasks
Contribute to AI development that will influence how machine learning is understood and applied globally
Potential for ongoing work and contract extension as new projects launch

Work arrangement
No