Data Scientist (Masters)

About the Role

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

Shape how advanced AI systems think and reason by stress-testing cutting-edge AI models. Design challenging problems, build gold-standard solutions, and identify where AI reasoning breaks down. This is a fully remote, flexible contract role for data scientists working at the frontier of AI development.

What You'll Do

• Design Advanced Challenges: Create rigorous, domain-specific data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more.
• Build Ground-Truth Solutions: Author precise, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations.
• Audit AI-Generated Code: Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundness.
• Sharpen AI Reasoning: Identify logical failures (e.g., data leakage, overfitting, improper handling of imbalanced datasets) and provide structured feedback to improve model reasoning.
• Work Independently: Complete task-based assignments asynchronously on your own schedule.

Requirements & Tech Stack

• Skills:
• Machine learning
• Statistical inference
• Data engineering
• Supervised/unsupervised learning
• Deep learning
• Big data technologies (e.g., Spark/Hadoop)
• NLP
• Clear and concise written communication of complex algorithmic concepts and statistical results.
• Exceptional attention to detail in code syntax, mathematical notation, and statistical conclusions.
• Self-motivation and consistency when working independently.
• Technologies/Tools:
• Python/R
• SQL
• Scikit-Learn
• PyTorch
• TensorFlow

Qualifications

• 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.
• Deep foundational knowledge in areas mentioned in Requirements & Tech Stack.
• No prior AI industry experience required.

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI output review.
• Proficiency in production-level data science workflows (MLOps, CI/CD for models, model monitoring).
• Familiarity with academic or industry benchmarking methodologies.
• Broad exposure across multiple data science subfields.

Why Join Us

• Work directly with industry-leading AI research labs on cutting-edge model development.
• Fully remote and flexible work arrangements.
• High agency and autonomy as an independent contractor.
• Meaningful, intellectually stimulating work that pushes the boundaries of AI.
• Potential for ongoing contract renewals.