Data Science Expert - AI Content Specialist
Data Science Expert – AI Content Specialist About The Role What if your expertise in machine learning and statistics could directly shape how the world's most advanced AI systems reason, code, and solve problems? We're looking for Data Science Experts to work alongside leading AI research labs, stress-testing and refining frontier language models. You'll design hard problems, write gold-standard solutions, and expose the gaps in AI reasoning — work that has a direct and lasting impact on how AI performs for data scientists everywhere. This is a fully remote, flexible contract role built for experienced 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 — Craft rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
- Author Gold-Standard Solutions — Produce meticulous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers
- Audit AI-Generated Code — Evaluate outputs from libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
- Sharpen AI Reasoning — Identify logical failures such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured feedback to improve model thinking
- Document Failure Modes — Systematically record where and how AI models break down, contributing to the ongoing hardening of model reasoning across complex data science domains
Who You Are
- Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis
- Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
- Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing
- Highly detail-oriented — you catch subtle errors in code syntax, mathematical notation, and statistical conclusions
- Self-directed and comfortable working independently on task-based assignments
- No prior AI or annotation experience required
Nice to Have
- Experience with data annotation, data quality assessment, or evaluation systems
- Proficiency in production-level data science workflows — MLOps, CI/CD pipelines for models, or similar
- Familiarity with model evaluation frameworks or benchmark design
Why Join Us
- Work directly with industry-leading language models at the frontier of AI development
- Fully remote and async — work when and where it suits you
- Freelance autonomy with the structure of meaningful, intellectually challenging work
- Collaborate with a global network of top-tier technical experts
- Potential for ongoing work and contract extension as new projects launch
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