[Hiring] Machine Learning Experts: Linear Algebra Exam Audit @Terac

Role Description

We're hiring machine learning experts to evaluate technical assessment materials used for training and testing purposes. This paid study focuses on validating a set of intermediate linear algebra questions formatted in JSON. Your expertise will help us ensure that the exam accurately measures core competencies like eigenvalue properties, matrix operations, and principal component analysis.

During this remote task, you will:

• Receive a JSON file containing multiple-choice, short-answer, and coding questions related to linear algebra.
• Audit all options and correct answers for technical accuracy.
• Eliminate any ambiguous distractor choices.
• Verify coding question prompts and refine the rubrics.
• Write additional edge test cases to ensure robustness.
• Submit the corrected and approved JSON file for review.

Qualifications

• Advanced machine learning practitioners with a strong academic or applied background in mathematics.
• Machine Learning Engineers, Data Scientists, AI Researchers, and University Instructors who teach linear algebra or data science.
• Comfortable reviewing technical JSON files and writing Python code using NumPy for matrix operations.

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.

Benefits

• $11 one-time compensation.

Company Description

Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.

Learn more at terac.com or on YouTube at @jointerac .