Mathematics AI Reasoning Annotator

Label and validate mathematical reasoning used to train and evaluate advanced AI systems. Work includes algebra, calculus, probability, statistics, discrete mathematics and applied quantitative problems.

Key responsibilities

• Break complex problems into verifiable reasoning steps.
• Annotate correct, incomplete and invalid solution paths.
• Apply rubrics to identify arithmetic, logical and conceptual errors.
• Create edge cases that expose brittle reasoning.

What we look for

• Degree or strong equivalent background in Mathematics, Statistics, Engineering or Physics; excellent written reasoning; comfort with structured annotation tools.

How success is measured

Accuracy, inter-annotator agreement, gold-set performance, escalation quality.

How this works on Jwuma

Candidate profile → skills evidence → domain assessment → calibration task → qualification → project matching → production → peer review → expert QA → performance feedback and progression. Corpshore AI service alignment Applicable across annotation and labeling, RLHF and preference data, model evaluation and red-teaming, multimodal datasets and specialized AI data operations, depending on project scope.

Common questions