Data Science Expert - AI Content Specialist

About The Role

What if your data science expertise could directly shape how the world's most advanced AI models reason, calculate, and solve problems? We're looking for Data Science Experts to work with Alignerr — partnering with leading AI research labs to stress-test and improve cutting-edge language models.

You'll push AI to its limits across machine learning theory, statistical inference, neural network architectures, and data engineering — documenting failure modes and crafting gold-standard solutions that make these systems smarter and more reliable.

This is a fully remote, flexible contract role designed for experienced data scientists who want meaningful, intellectually stimulating work on the technologies defining the next decade.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• Design Advanced Challenges — Create complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Gold-Standard Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as benchmark responses for AI training
• Audit AI-Generated Code — Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing technical accuracy, efficiency, and best practices
• Sharpen AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback that improves how AI models think
• Work Asynchronously — Complete task-based assignments independently, on your own schedule, from anywhere in the world

• Advanced Degree — Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with strong emphasis on data analysis
• Deep Domain Knowledge — Solid foundations in supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Strong Technical Writer — Able to communicate complex algorithmic concepts and statistical results clearly and precisely in written form
• Detail-Oriented — High precision when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
• No prior AI industry experience required — your subject matter expertise is what matters

• Experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with production-level data science workflows such as MLOps or CI/CD for models
• Prior experience reviewing or benchmarking AI/ML model outputs

• Work directly with industry-leading large language models on problems that genuinely matter
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-skill task-based work
• Contribute to AI development that shapes how these systems reason about science, data, and the world
• Potential for ongoing work and contract extension as new projects launch