Machine Learning Experts: Linear Algebra Exam Audit
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At a glance
Job overview
Terac is hiring a Machine Learning Experts: Linear Algebra Exam Audit. Terac is hiring machine learning experts to audit a JSON‑based linear algebra exam. The remote, paid study involves reviewing multiple‑choice, short‑answer, and coding questions to ensure technical accuracy, eliminate ambiguous distractors, refine rubrics, and add edge test cases using NumPy.
Key focus areas include Audit multiple‑choice options and correct answers for technical accuracy, Identify and eliminate ambiguous distractor choices in the exam questions, and Verify coding question prompts and grading rubrics for completeness.
Important skills include Machine Learning, Linear Algebra, JSON, Data Science, Technology Assessment, and Principal Component Analysis.
Skills & qualifications
Skills
Qualifications
Full job description
What We're Researching 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.
How It Works During this remote task, you will receive a JSON file containing multiple-choice, short-answer, and coding questions related to linear algebra. You will audit all options and correct answers for technical accuracy while eliminating any ambiguous distractor choices. For the coding questions, you will verify the prompts, refine the rubrics, and write additional edge test cases to ensure robustness. Finally, you will submit the corrected and approved JSON file for our review.
Who This Is For We are looking for advanced machine learning practitioners with a strong academic or applied background in mathematics. We welcome Machine Learning Engineers, Data Scientists, AI Researchers, and University Instructors who teach linear algebra or data science. You must be comfortable reviewing technical JSON files and writing Python code using NumPy for matrix operations.
What You'll Do
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Audit multiple-choice options and correct answers for technical accuracy
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Identify and eliminate ambiguous distractor choices in the exam questions
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Verify coding question prompts and grading rubrics for completeness
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Write and append edge test cases for NumPy matrix operations
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Format and return the final corrected exam in a valid JSON structure
Who Should Apply
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Professional experience as a Machine Learning Engineer, Data Scientist, or related role
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Deep technical understanding of intermediate linear algebra concepts (PCA, SVD, eigenvalues)
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Proficiency in Python and NumPy for matrix manipulation and pseudoinverse calculations
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Comfortable reading, editing, and validating structured JSON data
Compensation $11 one-time
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About Terac 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 .
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