Mathematics Quality Assurance Lead (QAL)
Mathematics Quality Assurance Lead (QAL) is a remote contract SME Careers opportunity focused on quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
- Pay
- Advertised ceiling: Up to $75/hour
- Location
- Remote — India, The United States
- Eligibility
- Remote; check the U.S., India location wording
- Qualification difficulty
- Highly selective
How current is this information?
The public role and application path were checked. Details can still change; this is not an endorsement or guarantee.
- Platform
- SME Careers
- Fit category
- Research and academia
- Listing/source checked
- Sep 17, 2026
- Apply link checked
- Jul 19, 2026
Application
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What this role involves
Mathematics Quality Assurance Lead (QAL) is a remote contract SME Careers opportunity focused on quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues. The public role asks for bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field.
Public responsibilities include quality monitoring: Spot-check mathematics items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
Before you apply
Review the main fit signals and unresolved details before opening the platform.
Why it may fit
- People with credible research, science, or education expertise
- Applicants comfortable with role-specific screening for Mathematics Quality Assurance Lead (QAL)
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Reasons to pause
- You need guaranteed placement, hours, or continuous project work
- You cannot meet the current country or identity-verification requirements
Still to verify
- Review the current SME Careers public job details before applying. Country eligibility, AI interview steps, Deel or identity onboarding, pay, and project availability can vary by role and can change.
What to prepare
- Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field.
Role tools
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Requirements
- 3+ years of professional experience in mathematics, teaching, tutoring, research, quantitative analysis, technical writing, curriculum development, problem creation, assessment design, or math-content review.
- Strong understanding of core mathematics topics such as algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, and mathematical proofs.
- Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions, flawed reasoning, invalid proofs, calculation errors, notation problems, missing steps, hallucinated facts, or incomplete explanations.
Application tips
- Expect role-specific screening; SME Careers documentation says AI may support the interview assessment while people make final decisions.
- Confirm current country eligibility, applicant pay, Deel or identity onboarding, and project availability before accepting work.