AI can compute numbers quickly, but often struggles with step-by-step logic. We need specialists to check proofs.
Expert mathematics tasks
Check proofs
Read math proofs and check for logical leaps or algebra errors.
Verify calculations
Check calculations in calculus, algebra, and other math topics.
How it works
Diagnostic Test
Verify your credentials and complete a 15-minute diagnostic test in Mathematical Reasoning.
Choose Projects
After diagnostic verification, browse open workspaces on your calibration center.
Weekly Payments
Conduct quality reviews, keep track of task approvals, and transfer payments weekly.
Typical workflow preview
Review models' attempts, point out factual or code-logic issues, and submit a corrected text prompt back to the frontier workspace.
The Master Theorem does not directly apply because f(n) = n log n does not satisfy the polynomial growth conditions. By using the generalization of the Master Theorem (Case 2), we find T(n) = O(n log^2 n).
Correct application of recurrence relation steps verified.
Where AI models need you most
Frontier LLMs frequently breakdown during subtle reasoning and technical validation. These represent key focus vectors.
Logical reasoning
Checking mathematical steps against standard rules and theorems.
Calculus verification
Checking derivations, integrals, and limits.
Discrete math
Reviewing graphs, counting arguments, and patterns.
LaTeX check
Making sure mathematical equations display correctly in LaTeX.