Data Scientist (Masters)

About the Role

We are seeking expert-level data scientists to challenge, evaluate, and refine cutting-edge AI models. This is a fully remote, flexible contract role.

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

Key Responsibilities

• Design Advanced Challenges: Craft complex, domain-specific 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.
• Audit AI-Generated Code: Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow.
• Expose Reasoning Failures: Identify and document logical flaws in AI reasoning, such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback.

Requirements & Tech Stack

• Deeply knowledgeable in core data science domains: supervised/unsupervised learning, deep learning, statistical inference, big data technologies (Spark, Hadoop), or NLP.
• Proficiency with libraries such as Scikit-Learn, PyTorch, and TensorFlow.
• Experience with Python/R scripts and SQL queries.

Qualifications

• Currently pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis.
• A precise and analytical writer.
• Naturally detail-oriented.
• No prior AI industry experience required.

Nice to Have

• Prior experience with data annotation, data quality, or AI evaluation workflows.
• Proficiency in production-level data science practices: MLOps, CI/CD pipelines for models, or model monitoring.
• Familiarity with evaluation rubrics or quality assurance processes.