Mathematics QA Lead - AI Training
Posted date [2026-07-24]
(ID: 48597)
 |
YO IT Consulting specializes in recruiting remote professionals for AI training and data annotation projects with global companies. Based in Abu Dhabi Emirate, United Arab Emirates, the company connects qualified talent worldwide with flexible remote opportunities that contribute to the development and improvement of modern artificial intelligence systems. |
Job Description and Requirements
Mathematics QA Lead - AI TrainingJob Snapshot
Role: Mathematics QA Lead - AI Training
Location: Dubai, United Arab Emirates
Industry: Research
Function: Quality Assurance
Experience: Professional experience in mathematics, academic review, teaching, research, assessment, or technical quality assurance
Job Type: Contract - Remote - work from home
Position Overview
Mathematics QA Lead - AI Training in Dubai, United Arab Emirates is a remote Research opportunity focused on improving the mathematical accuracy, logical consistency, proof quality, and clarity of AI training data. YO IT Consulting is seeking an experienced mathematics professional who can review AI-generated solutions, assess trainer and QA submissions, provide precise written feedback, and maintain dependable quality standards across distributed technical teams.
The role may involve algebra, calculus, geometry, probability, statistics, discrete mathematics, number theory, linear algebra, differential equations, optimization, and proof-based reasoning. There is no immediate project
assignment. Qualified candidates will join the expert network and receive early consideration when suitable mathematics AI training projects become available.
Job Details
Country: United Arab Emirates
City: Dubai
Industry: Research
Function: Quality Assurance
Salary: 13000-21000
Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.
Gender: Any
Candidate Nationality: Any
Job Type: Contract - Remote - work from home
Role Context
The Mathematics Quality Assurance Lead will oversee the reliability of mathematical content used to train and evaluate advanced artificial intelligence systems. Assignments may include reviewing numerical solutions, formal proofs, symbolic manipulations, derivations, word problems, statistical reasoning, and step-by-step explanations.
The successful candidate will identify calculation errors, invalid deductions, missing proof steps, inconsistent notation, unsupported assumptions, and misleading explanations. The role also includes contributor coaching, onboarding, calibration, documentation management, and continuous improvement of scalable mathematics review workflows.
Key Responsibilities
* Review mathematics AI training items against detailed project rubrics and quality standards.
* Evaluate mathematical accuracy, logical reasoning, calculation correctness, notation, clarity, formatting, and instruction compliance.
* Check equations, derivations, assumptions, intermediate steps, and final answers.
* Assess formal and informal proofs for validity, completeness, and logical structure.
* Identify arithmetic mistakes, algebraic errors, invalid transformations, and unsupported conclusions.
* Review content involving algebra, calculus, geometry, probability, statistics, and discrete mathematics.
* Evaluate advanced topics such as linear algebra, number theory, differential equations, optimization, and mathematical modeling.
* Verify that variables, symbols, definitions, units, and notation are used consistently.
* Identify hidden assumptions, circular reasoning, omitted cases, and incomplete explanations.
* Compare alternative solution methods and determine whether each approach is valid and efficient.
* Review AI-generated explanations for educational clarity without sacrificing mathematical rigor.
* Spot-check work completed by trainers, educators, researchers, annotators, reviewers, and QA contributors.
* Provide precise written feedback explaining each mathematical issue and the required correction.
* Escalate recurring, critical, or high-impact quality concerns to project stakeholders.
* Communicate updated guidelines, workflow changes, and mathematics-specific review expectations through Discord.
* Respond to contributor questions involving calculations, proofs, notation, assumptions, methods, and rubric interpretation.
* Contact inactive trainers and QAs, encourage participation, document follow-ups, and report availability concerns.
* Create and maintain style guides, FAQs, trackers, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
* Conduct remote onboarding and training sessions for mathematics trainers and reviewers.
* Ensure contributors apply evolving mathematics quality standards consistently.
* Analyze recurring quality gaps and recommend practical improvements to review workflows.
* Maintain accurate records of evaluations, feedback, contributor performance, and corrective actions.
Ideal Profile
* Bachelor\'s, Master\'s, PhD, or equivalent professional background in Mathematics, Applied Mathematics, Statistics, Mathematical Sciences, Education, Engineering, Physics, or a closely related field.
* Professional experience in mathematics research, teaching, academic writing, assessment, tutoring, technical review, or quality assurance.
* Strong English communication skills for interpreting detailed guidelines and delivering clear written feedback.
* Thorough understanding of mathematical reasoning, problem-solving, proof construction, and notation.
* Ability to review calculations, derivations, assumptions, and conclusions accurately.
* Strong knowledge across several areas of pure or applied mathematics.
* Ability to identify invalid logic, missing proof steps, computational errors, and unclear explanations.
* Experience preparing or reviewing examinations, problem sets, textbooks, academic materials, or technical solutions is preferred.
* Strong attention to symbolic detail, mathematical structure, consistency, and educational clarity.
* Experience leading or supporting educators, researchers, trainers, annotators, reviewers, or QA teams is strongly preferred.
* Ability to apply detailed rubrics consistently across high-volume mathematics review assignments.
* Confidence using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
* Experience developing calibration tasks, onboarding resources, FAQs, style guides, and quality documentation is beneficial.
* Familiarity with AI training, data annotation, large language model evaluation, mathematics QA, or rubric-based review is advantageous.
* Comfortable working independently in a fast-moving remote environment.
Skills Set
* Mathematics quality assurance
* Mathematical reasoning
* Proof verification
* Calculation review
* Algebra
* Calculus
* Geometry
* Probability
* Statistics
* Linear algebra
* Number theory
* Discrete mathematics
* Differential equations
* Optimization
* Mathematical modeling
* Symbolic reasoning
* Equation verification
* Notation review
* Error identification
* Logical analysis
* Academic content review
* Rubric-based assessment
* AI-generated mathematics evaluation
* Large language model evaluation
* Data annotation quality
* Trainer performance monitoring
* Written mathematical feedback
* Style guide development
* Calibration task design
* Contributor onboarding
* Remote team coordination
* Discord
* Google Sheets
* Google Docs
* Quality trackers
* Process improvement
Why Join Us
This opportunity allows mathematics professionals to apply analytical and academic expertise within the rapidly expanding artificial intelligence sector. The work directly influences how AI systems solve problems, construct proofs, perform calculations, explain methods, and communicate mathematical reasoning accurately.
Qualified specialists will join a flexible remote expert network and receive early consideration for relevant future assignments. The role also provides exposure to international technical teams, complex mathematics datasets, emerging AI evaluation methods, and quality frameworks used to improve next-generation language models.
About the Company
YO IT Consulting connects mathematicians, researchers, educators, and technical specialists with remote AI training and quality evaluation projects. Operating from Dubai, United Arab Emirates, the company recruits professionals worldwide whose subject expertise helps improve the accuracy, reasoning quality, clarity, and reliability of modern artificial intelligence systems.
Job Details
Country: United Arab Emirates
City: Dubai
Industry: Research
Function: Quality Assurance
Salary: 13000-21000
Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.
Gender: Any
Candidate Nationality: Any
Job Type: Contract - Remote - work from home
Role Context
The Mathematics Quality Assurance Lead will oversee the reliability of mathematical content used to train and evaluate advanced artificial intelligence systems. Assignments may include reviewing numerical solutions, formal proofs, symbolic manipulations, derivations, word problems, statistical reasoning, and step-by-step explanations.
The successful candidate will identify calculation errors, invalid deductions, missing proof steps, inconsistent notation, unsupported assumptions, and misleading explanations. The role also includes contributor coaching, onboarding, calibration, documentation management, and continuous improvement of scalable mathematics review workflows.
Key Responsibilities
* Review mathematics AI training items against detailed project rubrics and quality standards.
* Evaluate mathematical accuracy, logical reasoning, calculation correctness, notation, clarity, formatting, and instruction compliance.
* Check equations, derivations, assumptions, intermediate steps, and final answers.
* Assess formal and informal proofs for validity, completeness, and logical structure.
* Identify arithmetic mistakes, algebraic errors, invalid transformations, and unsupported conclusions.
* Review content involving algebra, calculus, geometry, probability, statistics, and discrete mathematics.
* Evaluate advanced topics such as linear algebra, number theory, differential equations, optimization, and mathematical modeling.
* Verify that variables, symbols, definitions, units, and notation are used consistently.
* Identify hidden assumptions, circular reasoning, omitted cases, and incomplete explanations.
* Compare alternative solution methods and determine whether each approach is valid and efficient.
* Review AI-generated explanations for educational clarity without sacrificing mathematical rigor.
* Spot-check work completed by trainers, educators, researchers, annotators, reviewers, and QA contributors.
* Provide precise written feedback explaining each mathematical issue and the required correction.
* Escalate recurring, critical, or high-impact quality concerns to project stakeholders.
* Communicate updated guidelines, workflow changes, and mathematics-specific review expectations through Discord.
* Respond to contributor questions involving calculations, proofs, notation, assumptions, methods, and rubric interpretation.
* Contact inactive trainers and QAs, encourage participation, document follow-ups, and report availability concerns.
* Create and maintain style guides, FAQs, trackers, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
* Conduct remote onboarding and training sessions for mathematics trainers and reviewers.
* Ensure contributors apply evolving mathematics quality standards consistently.
* Analyze recurring quality gaps and recommend practical improvements to review workflows.
* Maintain accurate records of evaluations, feedback, contributor performance, and corrective actions.
Ideal Profile
* Bachelor\'s, Master\'s, PhD, or equivalent professional background in Mathematics, Applied Mathematics, Statistics, Mathematical Sciences, Education, Engineering, Physics, or a closely related field.
* Professional experience in mathematics research, teaching, academic writing, assessment, tutoring, technical review, or quality assurance.
* Strong English communication skills for interpreting detailed guidelines and delivering clear written feedback.
* Thorough understanding of mathematical reasoning, problem-solving, proof construction, and notation.
* Ability to review calculations, derivations, assumptions, and conclusions accurately.
* Strong knowledge across several areas of pure or applied mathematics.
* Ability to identify invalid logic, missing proof steps, computational errors, and unclear explanations.
* Experience preparing or reviewing examinations, problem sets, textbooks, academic materials, or technical solutions is preferred.
* Strong attention to symbolic detail, mathematical structure, consistency, and educational clarity.
* Experience leading or supporting educators, researchers, trainers, annotators, reviewers, or QA teams is strongly preferred.
* Ability to apply detailed rubrics consistently across high-volume mathematics review assignments.
* Confidence using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
* Experience developing calibration tasks, onboarding resources, FAQs, style guides, and quality documentation is beneficial.
* Familiarity with AI training, data annotation, large language model evaluation, mathematics QA, or rubric-based review is advantageous.
* Comfortable working independently in a fast-moving remote environment.
Skills Set
* Mathematics quality assurance
* Mathematical reasoning
* Proof verification
* Calculation review
* Algebra
* Calculus
* Geometry
* Probability
* Statistics
* Linear algebra
* Number theory
* Discrete mathematics
* Differential equations
* Optimization
* Mathematical modeling
* Symbolic reasoning
* Equation verification
* Notation review
* Error identification
* Logical analysis
* Academic content review
* Rubric-based assessment
* AI-generated mathematics evaluation
* Large language model evaluation
* Data annotation quality
* Trainer performance monitoring
* Written mathematical feedback
* Style guide development
* Calibration task design
* Contributor onboarding
* Remote team coordination
* Discord
* Google Sheets
* Google Docs
* Quality trackers
* Process improvement
Why Join Us
This opportunity allows mathematics professionals to apply analytical and academic expertise within the rapidly expanding artificial intelligence sector. The work directly influences how AI systems solve problems, construct proofs, perform calculations, explain methods, and communicate mathematical reasoning accurately.
Qualified specialists will join a flexible remote expert network and receive early consideration for relevant future assignments. The role also provides exposure to international technical teams, complex mathematics datasets, emerging AI evaluation methods, and quality frameworks used to improve next-generation language models.
About the Company
YO IT Consulting connects mathematicians, researchers, educators, and technical specialists with remote AI training and quality evaluation projects. Operating from Dubai, United Arab Emirates, the company recruits professionals worldwide whose subject expertise helps improve the accuracy, reasoning quality, clarity, and reliability of modern artificial intelligence systems.
