Data Scientist AI Data Trainer

Data Scientist (Masters) - AI Data Trainer

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.

What You’ll Do

• Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction.
• Create rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as "golden responses."
• Evaluate AI-generated code (using libraries like Scikit-Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency.
• 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

• Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis.
• Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
• The ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form.
• High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions.
• No AI experience required.

Preferred Qualifications

• 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

Submit your resume, complete a short screening, and project matching and onboarding. Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Key skills/competency

• Data Science
• Machine Learning
• Statistical Inference
• Neural Networks
• Data Engineering
• Python
• R
• SQL
• Data Analysis
• AI Training