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 WorksDuring 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 ForWe 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 DoAudit 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
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
$11 one-time
Start your paid interview now
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.
Skills Required
- Professional experience as a Machine Learning Engineer, Data Scientist, or related professional
- Deep technical understanding of intermediate linear algebra, including PCA, SVD, and eigenvalues
- Proficiency in Python and NumPy for matrix manipulation and pseudoinverse calculations
- Ability to read, edit, and validate structured JSON data
- Strong academic or applied background in mathematics
- Experience teaching linear algebra or data science as a university instructor
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