Apply machine learning and statistics expertise remotely to evaluate advanced AI models and improve their reasoning through rigorous technical analysis.

Alignerr seeks Data Science Experts for flexible hourly contracts supporting frontier AI model evaluation. You will design data science challenges, author benchmark solutions, and audit outputs using Python, R, SQL, Scikit-Learn, PyTorch, and TensorFlow. The work is remote and asynchronous, with commitments of 10 to 40 hours weekly.

Key Responsibilities:

- Design advanced challenges spanning optimization, inference, and dimensionality reduction
- Develop step-by-step solutions with scripts, queries, and derivations
- Evaluate AI-generated code for correctness, efficiency, and best practices




- Review visualizations and statistical summaries using relevant libraries
- Identify leakage, overfitting, and imbalanced dataset handling failures

Requirements:

- Advanced degree in data science, statistics, computer science, or related discipline
- Expertise in supervised or unsupervised learning and deep learning
- Knowledge of big data technologies, NLP, or similar areas
- Clear technical communication and accurate written explanations
- Rigorous review of syntax, notation, and statistical conclusions

Use your data science, machine learning, and technical communication expertise to strengthen how frontier AI systems reason.

📌 Machine Learning AI Content Specialist (Toronto)
🏢 Alignerr
📍 Toronto