[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-math-major-jobs":3},{"Slug":4,"job_category":5,"Meta":6,"Header":25,"JobListings":94,"SearchModifiers":187,"CTA":208,"Ques":216,"SEOBody":234},"math major jobs","Mathematics",{"title":7,"description":8,"primary_keyword":4,"secondary_keywords":9},"math major jobs | 2026 Remote jobs","Explore math major jobs in data science, RLHF, and quantitative analysis. Find remote, entry-level, and senior roles on Rex.zone.",[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24],"entry-level math jobs","data science jobs for math majors","quantitative analyst roles","actuarial analyst","operations research","machine learning internships","RLHF jobs","prompt evaluation jobs","LLM training","NLP annotation","computer vision labeling","content safety labeling","remote math jobs","freelance math jobs","BPO annotation vendor",{"title":26,"desc":27,"content":28},"Math Major Jobs: AI, Data, Quant, and Research Careers","Math major jobs are search-ready career paths for mathematics graduates and students who apply quantitative reasoning to real-world AI\u002FML workflows, finance, research, and analytics. On Rex.zone, you can discover roles that power LLM training pipelines, RLHF (Reinforcement Learning from Human Feedback), data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling. This page defines math major jobs, explains day-to-day workflows, and helps you navigate remote, contract, freelance, full-time, entry-level, and senior opportunities. Start exploring math major jobs on Rex.zone to match your calculus, linear algebra, probability, statistics, and optimization skills to high-impact, well-paid work.",[29,37,45,55,64,72,79,86],{"h2":30,"desc":31,"bullets":32},"What are math major jobs?","Math major jobs are roles where a strong foundation in calculus, linear algebra, probability, statistics, and discrete math power decisions, models, and experiments. Employers include AI labs, tech startups, BPOs and annotation vendors, hedge funds, banks, healthcare systems, and public agencies. Common titles span data analyst, quantitative analyst, research scientist, actuarial analyst, operations research specialist, ML engineer, data labeler, RLHF evaluator, and product analytics specialist. In AI\u002FML, math major jobs contribute to large language model evaluation, training data quality, and model performance improvement across NLP, computer vision, and multimodal tasks. In finance and operations, math major jobs optimize risk, pricing, logistics, and forecasting.",[33,34,35,36],"Entity understanding: roles for mathematics graduates across AI\u002FML, finance, research, and analytics","Core competencies: statistics, optimization, probability, linear algebra, discrete math","Typical outputs: clean datasets, robust models, validated experiments, reproducible analyses","Impact areas: LLM training pipelines, RLHF, data labeling, QA evaluation, actuarial pricing, and operations research",{"h2":38,"desc":39,"bullets":40},"Why math majors fit AI\u002FML training pipelines","LLM and vision systems demand precise data curation and evaluation. Math major jobs excel at annotation guidelines compliance, test design, and statistical validation. In RLHF and prompt evaluation projects, math majors quantify inter-annotator agreement, analyze confidence intervals, and optimize sampling strategies. They monitor training data quality, reduce label noise, and connect feature distributions to model performance improvement. Whether performing named entity recognition, bounding box verification, or content safety labeling, math major jobs bring rigor to large language model evaluation and computer vision benchmarks. Rex.zone streamlines matching your skills to roles where your quantitative mindset is a competitive advantage.",[41,42,43,44],"LLM training pipelines: prompt evaluation, preference ranking, task design, and metric calibration","Computer vision annotation: geometric reasoning for detection, segmentation, and tracking","NLP and NER: taxonomy design, label schema iteration, and inter-annotator agreement","Content safety workflows: risk scoring, prevalence estimation, and sampling design",{"h2":46,"desc":47,"bullets":48},"Key responsibilities in math major jobs","Depending on domain, responsibilities range from exploratory analysis to production optimization. In AI\u002FML data operations, you will formalize annotation guidelines, assess training data quality, run pilot studies, and build dashboards that connect label distributions to downstream metrics. In quantitative research, you’ll design experiments, implement statistical models, and validate signals under strict out-of-sample protocols. In operations research and actuarial work, you’ll craft optimization formulations, scenario analyses, and pricing models with clear assumptions and sensitivity checks. Across all math major jobs, you drive reliable evidence and actionable insights.",[49,50,51,52,53,54],"Design and maintain labeling taxonomies; enforce annotation guidelines compliance","Run A\u002FB tests and holdout evaluations to quantify model performance improvement","Develop sampling plans, confidence intervals, and power analyses for experiments","Automate QA evaluation checks with rules, heuristics, and statistical tests","Contribute to large language model evaluation protocols and error taxonomies","Collaborate with engineers on data pipelines, feature stores, and reproducibility",{"h2":56,"desc":57,"bullets":58},"Skills and tools employers look for","Hiring teams value mathematical maturity and the ability to translate ambiguity into testable hypotheses. Strong candidates for math major jobs show comfort with probability and statistics, matrix methods, optimization, and numerical methods. Practical skills span Python, SQL, R, and notebooks, plus tools like pandas, NumPy, SciPy, scikit-learn, and experiment tracking platforms. For data labeling and RLHF workflows, exposure to labeling platforms, quality rubrics, and adjudication frameworks is helpful. Communication and documentation are essential to explain assumptions, quantify uncertainty, and align stakeholders.",[59,60,61,62,63],"Mathematical foundations: probability, statistics, linear algebra, optimization","Programming: Python, SQL, R; data wrangling and visualization","Modeling: regression, classification, time series, Bayesian methods","AI data ops: labeling tools, QA scorecards, adjudication protocols","Soft skills: clear writing, stakeholder alignment, reproducible reporting",{"h2":65,"desc":66,"bullets":67},"Employment types and search modifiers","To capture the breadth of math major jobs, Rex.zone supports remote, contract, freelance, full-time, entry-level, and senior filters. Domain filters include NLP, computer vision, content safety, LLM training, RLHF, finance, actuarial, and operations research. Employer types span AI labs, tech startups, BPOs and annotation vendors, Fortune 500s, banks, hedge funds, and research institutes. Use these modifiers to find math major jobs that match your availability, experience, and interests.",[68,69,70,71],"Work models: remote, hybrid, on-site; part-time, full-time, contract","Seniority: internships, entry-level, mid-level, senior, lead","Domains: NLP, computer vision, content safety, LLM training pipelines","Employers: AI labs, tech startups, BPOs, annotation vendors, banks, hedge funds",{"h2":73,"desc":74,"bullets":75},"How this page satisfies search intent","Informational: explains what math major jobs are, workflows, and required skills. Transactional: encourages applying and browsing live roles with clear CTAs. Navigational: anchors the experience to Rex.zone so you can quickly find teams, projects, and application steps. The first 100–120 words identify the job entity, connect it to AI\u002FML workflows, and highlight Rex.zone as the platform for discovery and application.",[76,77,78],"Entity understanding: math major jobs across AI\u002FML, finance, and analytics","N-gram coverage: training data quality, annotation guidelines compliance, large language model evaluation","Intent coverage: informational, transactional, navigational with Rex.zone calls to action",{"h2":80,"desc":81,"bullets":82},"Compensation, growth, and outcomes","Compensation for math major jobs varies by domain and seniority. Entry-level data labeling or RLHF evaluation roles often pay hourly rates or junior salaries, while quantitative analyst and ML engineering roles pay higher base and equity. Over time, you can move from data ops to applied research, from analyst to product analytics lead, or from actuarial analyst to pricing strategy. The core differentiator is consistent delivery of measurable impact: better training data quality, faster iteration cycles, clearer evaluation metrics, and stronger model performance improvement.",[83,84,85],"Early career: data operations, labeling QA, reporting, and experimentation support","Mid career: advanced modeling, feature engineering, A\u002FB testing, and system design","Senior: roadmap ownership, cross-functional leadership, and research-to-production translation",{"h2":87,"desc":88,"bullets":89},"How to apply on Rex.zone","Create a profile that highlights mathematics coursework, projects, and evidence of rigor. Link code samples, notebooks, or write-ups demonstrating hypothesis-driven analysis. Use filters for remote, freelance, and full-time math major jobs in NLP, computer vision, content safety, and finance. For RLHF or prompt evaluation roles, include experience with taxonomy design, adjudication, or guideline iteration. Apply directly on Rex.zone, track interview stages, and set alerts for newly posted math major jobs that match your interests.",[90,91,92,93],"Complete your Rex.zone profile with math-focused projects and results","Select domain filters: NLP, computer vision, RLHF, actuarial, operations research","Enable alerts for remote, contract, and entry-level math major jobs","Apply, message recruiters, and track progress within Rex.zone",[95,107,121,132,144,155,166,177],{"title":96,"work_model":97,"type":98,"domain":18,"employer_type":99,"locations":100,"compensation_range":102,"highlights":103},"RLHF Data Annotator","Remote","Contract","AI lab",[101],"Remote, Global","USD $20–45\u002Fhr",[104,105,106],"Preference ranking, prompt evaluation, rubric iteration","Training data quality checks and inter-annotator agreement","Python familiarity for basic data audits",{"title":108,"work_model":109,"type":110,"domain":111,"employer_type":112,"locations":113,"compensation_range":116,"highlights":117},"Quantitative Research Analyst","Hybrid","Full-time","Finance","Hedge fund",[114,115],"New York, NY","London, UK","USD $110k–$180k + bonus",[118,119,120],"Alpha research with strict out-of-sample testing","Feature engineering and risk modeling","Python, SQL, and statistics",{"title":122,"work_model":97,"type":110,"domain":123,"employer_type":124,"locations":125,"compensation_range":127,"highlights":128},"NLP Annotation Lead","NLP","Annotation vendor",[126],"Remote, Americas\u002FEMEA","USD $70k–$110k",[129,130,131],"Named entity recognition and taxonomy design","Annotation guidelines compliance and QA evaluation","Stakeholder communication and dashboarding",{"title":133,"work_model":134,"type":110,"domain":135,"employer_type":136,"locations":137,"compensation_range":139,"highlights":140},"Actuarial Analyst (P&C)","On-site","Insurance","Carrier",[138],"Chicago, IL","USD $85k–$115k",[141,142,143],"Pricing models, reserving, and GLM","Rate filings and scenario analysis","Exam support",{"title":145,"work_model":97,"type":146,"domain":147,"employer_type":148,"locations":149,"compensation_range":150,"highlights":151},"Computer Vision Labeling Specialist","Freelance","Computer vision","Tech startup",[101],"USD $18–35\u002Fhr",[152,153,154],"Detection, segmentation, and tracking tasks","Quality scoring and adjudication","Tooling proficiency and feedback loops",{"title":156,"work_model":109,"type":110,"domain":157,"employer_type":158,"locations":159,"compensation_range":161,"highlights":162},"Operations Research Analyst","Supply chain","Fortune 500",[160],"Seattle, WA","USD $105k–$150k",[163,164,165],"Optimization models and simulation","Inventory, routing, and scheduling","Stakeholder impact modeling",{"title":167,"work_model":97,"type":98,"domain":168,"employer_type":169,"locations":170,"compensation_range":172,"highlights":173},"Content Safety Rater (Math\u002FNLP)","Trust & Safety","BPO",[171],"Remote, APAC\u002FEMEA","USD $16–28\u002Fhr",[174,175,176],"Policy-driven content safety labeling","Risk scoring and prevalence estimation","Escalation protocols and QA audits",{"title":178,"work_model":109,"type":110,"domain":179,"employer_type":148,"locations":180,"compensation_range":182,"highlights":183},"Data Scientist (Entry-level)","Product analytics",[181],"Austin, TX","USD $95k–$130k",[184,185,186],"A\u002FB testing, causal inference, and experimentation","ETL, feature engineering, and dashboards","Cross-functional insights delivery",{"work_models":188,"domains":195,"employer_types":200},[189,190,191,192,193,194],"remote","contract","freelance","full-time","entry-level","senior",[123,196,197,18,198,14,199],"computer vision","content safety","finance","actuarial",[201,202,203,204,205,206,207],"AI labs","tech startups","BPOs","annotation vendors","banks","hedge funds","research institutes",{"title":209,"desc":210,"actions":211},"Apply to Math Major Jobs on Rex.zone","Create your Rex.zone profile, filter by domain and work model, and apply to math major jobs that fit your skills. Save searches, set alerts, and message hiring teams directly.",[212,213,214,215],"Create profile","Browse roles","Set job alerts","Apply now",{"title":217,"content":218},"Frequently Asked Questions",[219,222,225,228,231],{"Q":220,"A":221},"What industries hire for math major jobs?","AI labs, tech startups, BPOs and annotation vendors, banks, hedge funds, insurance carriers, healthcare systems, and public research institutes.",{"Q":223,"A":224},"Which skills help me stand out?","Probability, statistics, linear algebra, optimization, Python\u002FSQL\u002FR, experiment design, and clear communication. Familiarity with RLHF and labeling QA adds value.",{"Q":226,"A":227},"Are there remote and freelance opportunities?","Yes. Many math major jobs are remote or freelance, especially in data labeling, RLHF, content safety, and product analytics.",{"Q":229,"A":230},"How do I break in as entry-level?","Showcase projects, clean code, and results. Start with data ops or RLHF evaluation, then move into modeling, experimentation, and domain specialization.",{"Q":232,"A":233},"How does Rex.zone help?","Rex.zone centralizes vetted listings, adds filters for domains and work models, and provides direct application, messaging, and alert tools for math major jobs.",{"paragraphs":235},[236,237,238,239,240,241,242,243],"Math major jobs connect rigorous quantitative thinking to modern AI\u002FML workflows, finance, and analytics. On Rex.zone, you will find math major jobs that leverage probability, statistics, optimization, and linear algebra to build trustworthy systems and insights. Whether you seek a remote contract project or a full-time research track, math major jobs span RLHF, data labeling, QA evaluation, prompt evaluation, and large language model evaluation. These math major jobs sit at the heart of LLM training pipelines, where training data quality and annotation guidelines compliance directly impact model performance improvement.","In practice, math major jobs require converting ambiguity into testable hypotheses, selecting appropriate metrics, and executing clean analyses that stakeholders can trust. For example, a labeling QA lead might design sampling plans to detect drift, compute confidence intervals for error rates, and publish dashboards that relate label distributions to downstream quality. Another path for math major jobs is quantitative research, where you develop signals, apply robust validation, and deploy models under careful risk controls. In product analytics, math major jobs quantify feature impact, run A\u002FB tests with power analysis, and translate findings into decisions.","Because LLMs and vision models depend on high-integrity data, math major jobs are central to prompt evaluation, preference ranking, and adjudication. Math major jobs document taxonomies, enforce annotation guidelines compliance, and run pilot studies to detect weaknesses. In NLP, math major jobs include named entity recognition, relation extraction, and taxonomy iteration with inter-annotator agreement monitoring. In computer vision, math major jobs support detection, segmentation, and tracking evaluations with geometric reasoning and consistent QA protocols. In content safety, math major jobs support risk scoring, prevalence estimation, and policy-aligned labeling that protects users and brands.","Employers posting math major jobs on Rex.zone include AI labs validating frontier models, tech startups building multimodal systems, BPOs and annotation vendors scaling data ops, as well as banks, hedge funds, and insurers hiring for risk and pricing. You will find remote, contract, freelance, full-time, entry-level, and senior opportunities. By using filters, you can target math major jobs across NLP, computer vision, content safety, LLM training, finance, and operations research. Apply to math major jobs that emphasize transparency, documentation, and high-quality experiments to accelerate impact and growth.","To qualify for math major jobs, demonstrate capability in probability, statistics, linear algebra, optimization, and numerical methods. Show evidence in Python, SQL, or R with reproducible notebooks, tests, and clear visualizations. If you pursue RLHF or labeling roles, highlight experience with guidelines, rubrics, and adjudication. For quantitative roles, emphasize time series, Bayesian approaches, and robust validation. Strong communication is required for math major jobs to explain assumptions, report uncertainty, and align stakeholders on trade-offs.","Career progression for math major jobs often begins in data ops or analytics, then moves into modeling, experimentation leadership, or specialized domains like actuarial science or operations research. Early projects in math major jobs should build a track record of measurable results: improved training data quality, faster iteration cycles, and documented model performance improvement. Over time, math major jobs can evolve into research or technical leadership, where you own evaluation frameworks and connect modeling to product or business outcomes. On Rex.zone, you can track applications, schedule interviews, and subscribe to alerts for new math major jobs that match your criteria.","When writing your resume for math major jobs, foreground the problem statements, methods, and results. Use n-grams and terminology that hiring teams search for, including training data quality, annotation guidelines compliance, model performance improvement, and large language model evaluation. Mention RLHF, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling as relevant experiences. For finance-focused math major jobs, highlight signal research, risk modeling, and portfolio construction techniques. Tailor each application to the job description while maintaining a consistent narrative of quantitative rigor.","To maximize discoverability, this page for math major jobs aligns with informational, transactional, and navigational intent. It explains what math major jobs entail, directs you to explore live roles and apply, and anchors your journey on Rex.zone. By structuring content around entity understanding and high-intent search modifiers like remote, contract, freelance, full-time, entry-level, and senior, we help both candidates and search engines identify relevant math major jobs quickly. Start today by creating your profile on Rex.zone and applying to math major jobs that fit your background."]