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Terac

Machine Learning Experts: Linear Algebra Exam Audit

Terac United States

Research Services · 11-50 employees

13 h ago
Remote machine-learning Mid (2-5 yrs) Contractor United States
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About the role

You will audit technical assessment materials for accuracy, including multiple-choice questions and coding prompts. Additionally, you will refine grading rubrics and write robust edge test cases for NumPy-based matrix operations.

What they look for

Machine Learning Linear Algebra Python NumPy Data Science Matrix Operations Principal Component Analysis Eigenvalue Properties JSON Technical Auditing Coding Assessment Rubric Development Test Case Generation SVD Pseudoinverse Calculations

Requirements

Candidates must be advanced machine learning practitioners with a strong background in mathematics and proficiency in Python and NumPy. You must be comfortable validating structured JSON data and possess deep knowledge of linear algebra concepts.

Full 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

  • 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

Who Should Apply

  • 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

Compensation

$11 one-time

 

Ready to participate?

Start your paid interview now

 

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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