Mathematics Expert - AI Training
YO IT Consulting
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Job summary
YO IT Consulting in Dubai, United Arab Emirates, seeks a Mathematics Expert - AI Training for a 3-6 month remote contract. The role focuses on solving advanced mathematical problems and creating precise, well-structured material for AI training.
Applicants should hold a PhD and have broad knowledge of pure and applied mathematics to produce exemplary solutions and review complex reasoning. You will collaborate with a distributed team to improve accuracy, clarity, and educational value, with
Qualifications
- PhD in Mathematics required or closely related field.
- Advanced content development or review experience in academia.
- Strong English communication, both written and verbal.
- Ability to explain graduate-level concepts clearly and precisely.
- Experience authoring or evaluating mathematical content.
- Comfort with remote, distributed collaboration and feedback.
Responsibilities
- Solve complex mathematics prompts across undergraduate and graduate curricula.
- Develop complete solutions with clear assumptions, calculations, proofs, and conclusions.
- Produce golden responses demonstrating mastery and rigorous reasoning.
- Review AI-generated solutions for correctness, completeness, and relevance.
- Identify invalid assumptions, missing steps, and notation errors.
- Refine drafts to improve accuracy, structure, and educational value.
- Translate abstract concepts into accessible yet precise explanations.
- Compare alternative methods and discuss their advantages and limits.
- Verify algebraic manipulations and numerical results.
- Use consistent mathematical notation and formatting.
Skills
Education
Job description
Mathematics Expert - AI Training
Location: Dubai, United Arab Emirates
Industry: Research
Function: Mathematical-Statistical Research
Experience: Advanced graduate-level mathematics expertise with academic content development or review experience
Job Type: Contract - Remote - work from home
Mathematics Expert - AI Training in Dubai, United Arab Emirates is a remote Research opportunity for a PhD-qualified specialist who can solve advanced mathematical problems and create accurate, well-structured content for next-generation artificial intelligence systems. YO IT Consulting is seeking an expert with broad knowledge of pure and applied mathematics who can produce exemplary solutions, review complex reasoning, and explain graduate-level concepts with precision. This contractor engagement is expected to run for 3-6 months. The successful candidate will develop golden responses, evaluate mathematical content, and collaborate with a distributed team to improve the accuracy, clarity, and educational value of AI training materials.
Country: United Arab Emirates
City: Dubai
Industry: Research
Function: Mathematical-Statistical Research
Salary: 15000-24000 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
The Mathematics Expert will create and review advanced academic content used to train and evaluate AI models. Assignments may involve undergraduate and graduate mathematics, formal proofs, abstract concepts, applied problem-solving, derivations, and the assessment of model-generated solutions. Each response must demonstrate correct methodology, logical completeness, appropriate notation, and clear mathematical communication. The expert will help establish reference-quality answers that show AI systems how difficult mathematical questions should be interpreted, solved, verified, and explained.
- Solve complex mathematics prompts across undergraduate and graduate curricula.
- Develop complete solutions that clearly show assumptions, definitions, calculations, proofs, and conclusions.
- Produce golden responses that demonstrate subject mastery and rigorous mathematical reasoning.
- Review AI-generated solutions for correctness, completeness, relevance, and logical consistency.
- Identify invalid assumptions, missing proof steps, calculation errors, notation problems, and unsupported conclusions.
- Refine draft solutions to improve accuracy, structure, clarity, and educational value.
- Analyze advanced proofs and determine whether each inference is mathematically justified.
- Translate abstract concepts into accessible explanations without weakening technical precision.
- Compare alternative solution methods and explain their advantages, limitations, and applicability.
- Verify algebraic manipulations, symbolic expressions, numerical results, and final answers.
- Apply appropriate mathematical notation and formatting consistently.
- Create examples, counterexamples, derivations, and explanatory notes when required.
- Review content involving pure mathematics, applied mathematics, statistics, and related quantitative disciplines.
- Collaborate asynchronously with mathematicians, reviewers, trainers, and project stakeholders.
- Incorporate iterative feedback while preserving mathematical correctness.
- Recommend improvements to project guidelines, response standards, and content workflows.
- Document ambiguous cases, recurring model errors, and challenging evaluation decisions.
- Follow project requirements for quality, format, confidentiality, and delivery timelines.
- Complete assigned work accurately throughout the 3-6 month contract period.
- PhD in Mathematics or a closely related quantitative discipline from an accredited institution.
- Demonstrated academic excellence and advanced subject-matter expertise.
- Strong knowledge across a broad range of pure and applied mathematics topics.
- Ability to solve and explain difficult graduate-level problems.
- Proven experience authoring, reviewing, teaching, or evaluating mathematical content.
- Experience with textbooks, examinations, problem sets, academic publications, research materials, or comparable content.
- Strong command of formal mathematical reasoning and proof construction.
- Ability to detect subtle logical gaps, incorrect assumptions, and computational errors.
- Exceptional written and verbal English communication skills.
- Ability to explain complex concepts accurately, clearly, and concisely.
- Meticulous attention to notation, terminology, calculations, and solution structure.
- Ability to produce polished academic content under deadline.
- Comfortable collaborating with a distributed remote team.
- Receptive to feedback and able to adapt to evolving project standards.
- Previous exposure to AI training, mathematical model evaluation, or rubric-based content review is advantageous but not required.
- Pure mathematics
- Applied mathematics
- Advanced problem-solving
- Mathematical proofs
- Mathematical reasoning
- Mathematical modeling
- Algebra
- Linear algebra
- Calculus
- Real analysis
- Complex analysis
- Functional analysis
- Abstract algebra
- Number theory
- Geometry
- Topology
- Differential equations
- Probability
- Statistics
- Discrete mathematics
- Numerical analysis
- Optimization
- Mathematical notation
- Proof verification
- Error identification
- Golden response development
- Academic content review
- AI response evaluation
- Technical writing
- Remote collaboration
This opportunity allows an accomplished mathematician to apply advanced academic expertise to the development of next-generation artificial intelligence systems. The work directly influences how AI models solve mathematical problems, construct proofs, explain abstract concepts, and communicate rigorous reasoning. The 3-6 month remote engagement provides access to challenging subject-matter work, distributed expert collaboration, and evolving AI evaluation methodologies. It is particularly suitable for PhD-qualified professionals who value precision, intellectual depth, and the opportunity to improve the mathematical capabilities of modern AI systems.
YO IT Consulting connects researchers, academics, and technical specialists with remote AI training and evaluation projects. Operating from Dubai, United Arab Emirates, the company recruits experts worldwide whose domain knowledge helps improve the reasoning, accuracy, educational value, and practical reliability of advanced artificial intelligence systems.
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