Mathematics QA Lead - Remote

YO IT Consulting; Jakarta Pusat; On-site; IDR 997,357,465 - 1,994,714,931; Part time

Job summary

YO IT Consulting seeks a Mathematics Quality Assurance Lead for a remote, hourly contractor position. You will oversee quality across AI math training projects, reviewing explanations, proofs, and solutions for accuracy and clarity while guiding trainers and QAs.

Strong math background with precise feedback and documentation is required. You will manage remote workflows, communicate guidelines on Discord, and help maintain quality standards across teams, ensuring consistency and continuous

Qualifications

• Bachelor’s, Master’s, or PhD in a quantitative field.
• Strong English language to follow guidelines and provide feedback in English.
• 3+ years of professional experience in mathematics, teaching, tutoring, research, or math-content review.
• Strong understanding of core mathematics topics such as algebra, geometry, calculus, linear algebra, probability, statistics, etc.
• Ability to evaluate math content against detailed rubrics and identify issues such as incorrect assumptions or invalid proofs.
• Comfortable reviewing both conceptual explanations and step-by-step solutions.
• Familiarity with mathematical tools/workflows such as LaTeX, Python, MATLAB, R, or GeoGebra.
• Experience leading or supporting remote teams of trainers or QAs.

Responsibilities

• Quality monitoring: Spot-check mathematics items, identify quality issues, and provide ongoing feedback.
• Mathematical review: Evaluate AI-generated math explanations, proofs, derivations, calculations, and step-by-step reasoning for correctness and clarity.
• Trainer and QA communication: Update trainers and QAs on Discord about new guidelines and quality expectations.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity and notation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation and track follow-ups.
• Documentation: Create and maintain mathematics project documentation, including style guides, trackers, FAQs, and onboarding materials.
• Onboarding and training: Schedule and run onboarding calls explaining expectations, rubrics, and quality requirements.
• Quality alignment: Ensure consistent application of mathematics guidelines across projects.
• Error-pattern analysis: Identify recurring issues and justify corrective actions.
• Process improvement: Propose workflow improvements for scalable QA in mathematics AI training.

Skills

Mathematics expertise

English communication

Remote team management

Attention to detail

Quality assurance processes

Education

Bachelor’s / Master’s / PhD in Mathematics or related quantitative field

Tools

LaTeX

Python

MATLAB

R

WolframAlpha

Job description

Job Title

Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field.

Job Type

Contract

Location

Remote

About This Role

In this hourly, remote contractor role, you will work as a Mathematics Quality Assurance Lead to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI‑generated math content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation quality, clarity, formatting, instruction‑following, and adherence to project‑specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help keep contributors engaged. This role requires strong mathematics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams.

Your profile

• Bachelor’s, Master’s, or PhD degree in Mathematics, Applied Mathematics, Statistics, Physics, Engineering, Computer Science, Mathematics Education, or a closely related quantitative field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear mathematical feedback in English.
• 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.
• Comfortable reviewing both conceptual explanations and step‑by‑step solutions, including whether each step logically follows from the previous one.
• Familiarity with mathematical tools or workflows such as LaTeX, Python, MATLAB, R, WolframAlpha/Mathematica, GeoGebra, Desmos, spreadsheet modeling, or symbolic computation tools is preferred.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, educators, technical writers, or QAs is strongly preferred.
• Comfortable working in fast‑moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail‑oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, mathematical content QA, or rubric‑based LLM evaluation is a strong plus.

Key responsibilities

• Quality monitoring: Spot‑check mathematics items, identify quality issues, provide ongoing feedback through DMs, and elevate recurring or critical issues.
• Mathematical review: Evaluate AI‑generated math explanations, proofs, derivations, calculations, word‑problem solutions, diagrams/descriptions, and step‑by‑step reasoning for correctness and clarity.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and math‑specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around reasoning validity, notation, assumptions, solution methods, proof structure, formatting, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow‑ups, and flag availability issues when needed.
• Documentation: Create and maintain mathematics project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and mathematics‑specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply mathematics guidelines consistently and understand updates as projects evolve.
• Error‑pattern analysis: Identify recurring issues such as skipped reasoning steps, invalid simplifications, wrong formulas, notation inconsistencies, arithmetic mistakes, or answers that are correct but poorly justified.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for mathematics AI training projects.