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Détails du poste

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 reason and respond? We're looking for Data Science Experts to work with Alignerr — a team that partners with leading AI research labs to build and refine cutting-edge language models. Your job is to stress-test AI reasoning, author gold-standard solutions, and provide the kind of expert feedback that makes these models genuinely smarter. This is a fully remote, flexible contract role built for data science professionals who want meaningful 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-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the benchmark for AI responses Audit AI-Generated Code — Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing them for correctness, efficiency, and best practices Sharpen AI Reasoning — Identify logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback that improves how models think Who You Are Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field Strong foundational expertise in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP Able to communicate complex algorithmic concepts and statistical findings clearly in writing Highly precise when reviewing code syntax, mathematical notation, and the validity of statistical conclusions No prior AI or annotation experience required — your domain expertise is what matters Nice to Have Experience with data annotation, data quality workflows, or evaluation systems Familiarity with production-level data science practices such as MLOps or CI/CD for models Why Join Us Work directly with industry-leading AI language models on problems that actually matter Fully remote and asynchronous — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based projects Contribute to AI development that shapes how these systems reason through real-world data science problems Potential for ongoing work and contract extension as new projects launch

Ce que vous ferez

Design complex data science challenges and author gold-standard technical solutions to benchmark AI responses. Audit AI-generated code and provide structured feedback to improve the reasoning and accuracy of language models.

Exigences

Requires a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Must possess strong foundational expertise in supervised/unsupervised learning, deep learning, and big data technologies.

Compétences indiquées

• SQL · Souhaitée
• Apprentissage automatique · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Statistics
• Data Engineering
• Python
• R
• SQL
• Scikit-Learn
• PyTorch
• TensorFlow
• Bayesian Inference
• Hyperparameter Optimization
• Dimensionality Reduction
• Deep Learning
• NLP
• Spark
• Hadoop

Domaines d’emploi

• Data & Analytics
• Technology
• Software
• Science & Research
• Engineering