Data Science Expert - AI Content Specialist
Dallas
* Location: Remote **About The Job** At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. You'll challenge advanced language models on topics like machine learning theory, statistical inference, neural network architectures, and data engineering pipelines---documenting every failure mode so we can harden model reasoning. **Organization** : Alignerr **Position** : Data Science Expert - AI Content Specialist **Type** : Hourly Contract **Compensation** : $40--$80 /hour **Location** : Remote **Commitment** : 10--40 hours/week **What You'll Do** * Develop Complex Problems: Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction. * Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as "golden responses." * Technical Auditing: Evaluate AI-generated code (using libraries like Scikit-Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency. * Refine Reasoning: Identify logical fallacies in AI reasoning---such as data leakage, overfitting, or improper handling of imbalanced datasets---and provide structured feedback to improve the model's "thinking" process. **Requirements** * Advanced Degree: Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis. * Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP. * Analytical Writing: The ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form. * Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions. * No AI experience required **Preferred** * Prior experience with data annotation, data quality, or evaluation systems * Proficiency in production-level data science workflows (e.g., MLOps, CI/CD for models). **Why Join Us** * Excellent compensation with location-independent flexibility. * Direct engagement with industry-leading LLMs. * Contractor advantages: high agency, agility, and international reach. * More opportunities for contracting renewals. **Application Process (Takes 15-20 min)** * Submit your resume * Complete a short screening * Project matching and onboarding *PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.*
