About the role
from listingData 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 models think and reason? We're looking for Data Science Experts to challenge, audit, and improve cutting-edge AI systems — working remotely, on your own schedule, alongside leading AI research labs.
This is your opportunity to apply your expertise at the frontier of AI development, where your analytical instincts and technical precision have a measurable, lasting impact.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Challenges: Craft complex, domain-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that push AI models to their limits
Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as authoritative reference answers
Audit AI-Generated Code: Evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow — assessing technical accuracy, efficiency, and correctness of data visualizations and statistical summaries
Refine AI Reasoning: Identify and document logical failures in AI reasoning — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured feedback to improve model decision-making
Who You Are
Advanced Degree: Pursuing or completed a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis
Domain Expert: Deep foundational knowledge in areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
Clear Technical Communicator: Able to explain complex algorithmic concepts and statistical results in precise, well-structured written form
Detail-Oriented: High attention to precision when checking code syntax, mathematical notation, and the validity of statistical conclusions
No prior AI experience required — your data science expertise is what matters
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 pipelines for models
Familiarity with prompt engineering or AI model evaluation frameworks
Why Join Us
Work directly with industry-leading large language models at the cutting edge of AI research
Fully remote and asynchronous — work when and where it suits you
Freelance autonomy with the depth of meaningful, technically challenging work
High agency over your workload with flexible weekly commitments
Contribute to AI development that shapes how intelligent systems reason about data science for years to come
Potential for ongoing work and contract extension as new projects launch
Employment type: Contract
Industries: Technology, Information and Internet