Machine Learning Experts: Linear Algebra Exam Audit

We are running a paid study to evaluate and refine an intermediate-level linear algebra exam designed for machine learning assessments. We need experienced machine learning practitioners to verify the technical correctness of the questions, evaluate grading rubrics, and write robust edge test cases for Python coding prompts.

Responsibilities

• Audit multiple-choice options and correct answers for technical accuracy
• Identify and eliminate ambiguous distractor choices in the exam questions
• Verify coding question prompts and grading rubrics for completeness
• Write and append edge test cases for NumPy matrix operations
• Format and return the final corrected exam in a valid JSON structure

Requirements

• Professional experience as a Machine Learning Engineer, Data Scientist, or related role
• Deep technical understanding of intermediate linear algebra concepts (PCA, SVD, eigenvalues)
• Proficiency in Python and NumPy for matrix manipulation and pseudoinverse calculations
• Comfortable reading, editing, and validating structured JSON data