[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-math-jobs":3},{"Slug":4,"job_category":5,"Meta":6,"Header":42,"Ques":192},"math jobs","Mathematics & AI",{"title":7,"description":8,"primary_keyword":4,"secondary_keywords":9},"math jobs | 2026 Remote jobs","math jobs on Rex.zone: top data scientist roles, RLHF, NLP, and LLM training careers—remote, contract, and senior opportunities.",[10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"mathematics jobs","math careers","quantitative analyst","data scientist jobs","machine learning engineer","operations research","actuarial science","biostatistics","applied mathematics","financial mathematics","quant research jobs","NLP roles","computer vision","LLM training","RLHF","data labeling","content safety","annotation vendor","AI labs","tech startups","BPO","remote math jobs","contract math roles","freelance math","entry-level math jobs","senior mathematician","model performance improvement","training data quality","annotation guidelines compliance","large language model evaluation","prompt evaluation","named entity recognition",{"title":43,"desc":44,"content":45},"math jobs at Rex.zone — Quant, Data Science, RLHF, and Applied Mathematics","math jobs are search-recognized roles spanning applied mathematics, statistics, data science, quantitative research, and AI\u002FML workflows. At Rex.zone, math jobs connect analytical talent to real deployments in LLM training pipelines, RLHF, data labeling, prompt and QA evaluation, named entity recognition, computer vision annotation, and content safety labeling. This page helps you navigate math jobs based on domain, seniority, and engagement type (remote, contract, freelance, full-time). Explore math jobs at AI labs, tech startups, BPOs, and annotation vendors with a clear intent: discover opportunities and apply directly through Rex.zone for real-world impact.",[46,54,69,81,93,105,117,127,138,147,155,164,173,184],{"h2":47,"desc":48,"bullets":49},"About math jobs","math jobs encompass roles where mathematical reasoning, statistical modeling, and computational methods drive decisions, build products, and improve AI systems. Professionals in math jobs contribute to data pipelines, model development, experiment design, algorithmic optimization, and risk analysis. In AI\u002FML contexts on Rex.zone, math jobs frequently intersect with large language model evaluation, training data quality assurance, annotation guidelines compliance, and model performance improvement. Whether you prefer academic rigor or applied impact, math jobs range from quantitative analyst roles in finance to data scientist positions in tech startups, and from operations research in logistics to RLHF evaluator roles in AI labs. The most competitive math jobs prioritize problem-solving, communication, reproducible research, and ethical data handling.",[50,51,52,53],"Entity focus: mathematics, statistics, optimization, computational methods","Core outcomes: robust models, reliable predictions, defensible decisions","Common environments: AI labs, tech startups, BPOs, annotation vendors","Hiring tracks: entry-level, mid-level, senior, staff, and principal roles",{"h2":55,"desc":56,"bullets":57},"Domains and specializations","math jobs at Rex.zone span several domain clusters. These clusters align with industry demand and real workflows used by teams building AI models and data products. Candidates can map their skills to these domains to identify the best match and growth path.",[58,59,60,61,62,63,64,65,66,67,68],"Data Science: feature engineering, experimentation, model evaluation","Machine Learning Engineering: training, serving, monitoring pipelines","Quantitative Research: alpha discovery, risk modeling, market microstructure","Operations Research: optimization, simulation, queuing theory, scheduling","Actuarial Science: claims modeling, pricing, solvency, regulatory reporting","Biostatistics: clinical trial design, survival analysis, epidemiology","Applied Mathematics: PDEs, numerical methods, stochastic processes","NLP: named entity recognition, prompt evaluation, LLM training","Computer Vision: detection, segmentation, image\u002Fvideo annotation","Content Safety: labeling policies, harmful content detection, QA evaluation","RLHF: human feedback collection, reward modeling, instruction tuning",{"h2":70,"desc":71,"bullets":72},"Workflows in AI\u002FML training pipelines","In modern AI systems, math jobs are inseparable from data-centric workflows. Teams use iterative processes to ensure training data quality, annotation guidelines compliance, and model performance improvement while maintaining ethical and secure operations. The following workflows highlight how math jobs integrate with LLM training pipelines and computer vision stacks.",[73,74,75,76,77,78,79,80],"Data collection and curation: sampling, stratification, deduplication","Labeling and QA: inter-annotator agreement, guideline revisions, audit trails","Feature engineering: text normalization, embeddings, image transforms","Model training: hyperparameter tuning, curriculum learning, early stopping","Evaluation: large language model evaluation with human and automated metrics","Safety: content safety labeling, adversarial red-teaming, risk scoring","RLHF: preference data collection, reward model fitting, policy optimization","Monitoring: drift detection, feedback loops, incident response",{"h2":82,"desc":83,"bullets":84},"Key responsibilities","math jobs combine analytical rigor with hands-on implementation. Responsibilities vary by domain, but the unifying thread is delivering trustworthy outcomes through measurement, reproducible workflows, and clear communication. Candidates should be comfortable with both exploratory analysis and production constraints.",[85,86,87,88,89,90,91,92],"Design experiments with power analysis and valid controls","Develop models using statistical learning, optimization, and Bayesian methods","Own training data quality and annotation guidelines compliance","Build evaluation suites for large language model evaluation and CV tasks","Perform prompt evaluation and named entity recognition QA","Create dashboards for model performance improvement and error analysis","Implement RLHF feedback loops and reward modeling","Document methods, assumptions, and risk trade-offs for stakeholders",{"h2":94,"desc":95,"bullets":96},"Skills and qualifications","Competitive math jobs emphasize depth in theory and fluency in applied tools. Candidates should demonstrate problem-solving, clarity of explanation, and practical judgment when translating mathematical insights into business or research outcomes.",[97,98,99,100,101,102,103,104],"Mathematical foundations: linear algebra, probability, statistics, optimization","Programming: Python or R; experience with NumPy, pandas, scikit-learn, PyTorch","Experimentation: A\u002FB testing, cross-validation, causal inference basics","Data: cleaning, labeling, QA evaluation, policy compliance, privacy, security","NLP: tokenization, embeddings, named entity recognition, prompt evaluation","Vision: augmentation, detection\u002Fsegmentation metrics, annotation workflows","RLHF and LLM training: reward models, preference data, red-teaming","Communication: stakeholder briefings, technical writing, visualization",{"h2":106,"desc":107,"bullets":108},"Tools and platforms","math jobs leverage established scientific tooling alongside production infrastructure. Rex.zone hosts openings that list a mix of research tools and enterprise systems to ensure candidates can operate across prototyping and delivery phases.",[109,110,111,112,113,114,115,116],"Languages: Python, R, Julia, SQL","Libraries: NumPy, SciPy, pandas, scikit-learn, Statsmodels","Deep learning: PyTorch, TensorFlow, Hugging Face Transformers","Experiment tracking: MLflow, Weights & Biases","Data: Airflow, dbt, Apache Spark, DuckDB","Visualization: Matplotlib, Seaborn, Plotly, Dash","Ops: Docker, Kubernetes, Git, CI\u002FCD","Annotation: Label Studio, CVAT, custom QA dashboards",{"h2":118,"desc":119,"bullets":120},"Job types and modifiers","To reflect real hiring markets, math jobs on Rex.zone include flexible engagement models. Use modifiers to refine the search and match your availability, seniority, and location preferences.",[121,122,123,124,125,126],"Remote: global teams with async collaboration and outcome tracking","Contract: scoped deliverables, milestone billing, clear acceptance criteria","Freelance: short sprints, specialized tasks, rapid impact","Full-time: long-term growth, cross-functional collaboration, benefits","Entry-level: mentorship, training plans, rotational projects","Senior: leadership, roadmap influence, capability building",{"h2":128,"desc":129,"bullets":130},"Industries and employer types","math jobs are offered across diverse employers—from cutting-edge research to operational excellence in service organizations. Candidates can prioritize the environment that best suits their working style and domain interests.",[131,132,133,134,135,136,137],"AI labs: LLM training pipelines, RLHF programs, evaluation benchmarks","Tech startups: product analytics, growth modeling, personalization","Enterprises: fraud analytics, supply chain optimization, forecasting","Financial services: quant research, risk modeling, market data pipelines","Healthcare: biostatistics, clinical trials, outcomes research","BPOs: annotation at scale, QA evaluation, policy compliance","Annotation vendors: data labeling, content safety labeling, CV\u002FNLP ops",{"h2":139,"desc":140,"bullets":141},"Career paths and growth","math jobs enable progression from hands-on analysis to strategic leadership. Growth paths vary by domain, but common milestones include expanding scope, deepening specialization, and building systems that improve organizational decision-making. Rex.zone highlights career ladders with transparent expectations.",[142,143,144,145,146],"Analyst\u002FAssociate: data wrangling, dashboards, basic modeling","Scientist\u002FEngineer: advanced modeling, deployment, monitoring","Senior\u002FStaff: technical leadership, roadmap ownership, mentoring","Manager\u002FLead: team building, cross-functional delivery, quality governance","Principal\u002FResearcher: novel methods, publications, IP development",{"h2":148,"desc":149,"bullets":150},"Compensation and benefits","Compensation for math jobs depends on domain specialization, seniority, and employer type. Rex.zone postings include salary bands or day rates when available, along with benefits typical for remote and full-time roles.",[151,152,153,154],"Data science\u002FML: competitive base with equity or bonus","Quant research: higher compensation with performance incentives","Contract\u002Ffreelance: day rates or hourly bands based on scope and complexity","Benefits: health, retirement plans, learning budgets, remote stipends",{"h2":156,"desc":157,"bullets":158},"How to apply on Rex.zone","Rex.zone centralizes math jobs from vetted employers. Create a profile, tag your domain interests, upload relevant case studies, and customize your preferences (remote, contract, freelance, full-time). Use filters for NLP, computer vision, content safety, or LLM training. When you find math jobs that align with your goals, submit an application with a brief methods summary, link to reproducible notebooks, and evidence of model performance improvement.",[159,160,161,162,163],"Build profile: skills, tools, certifications, published work","Select domains: NLP, CV, content safety, RLHF, operations research","Attach evidence: notebooks, dashboards, papers, repos","Apply: tailored cover note referencing the posting’s evaluation metrics","Track: interview steps, technical screens, take-home projects",{"h2":165,"desc":166,"bullets":167},"What employers evaluate","Hiring teams for math jobs emphasize clarity, rigor, and practical judgment. Candidates should demonstrate the ability to select appropriate methods, acknowledge limitations, and ship usable outcomes.",[168,169,170,171,172],"Method selection: statistical tests, model classes, optimization strategies","Data discipline: labeling standards, audits, bias checks, privacy adherence","Evaluation: large language model evaluation and CV benchmarks","Communication: concise insights, stakeholder-ready visualizations","Reliability: reproducibility, version control, incident learning",{"h2":174,"desc":175,"bullets":176},"Example roles on Rex.zone","The following sample roles illustrate the range of math jobs hiring now across AI labs, tech startups, BPOs, and annotation vendors. Use these as a reference when tailoring your profile.",[177,178,179,180,181,182,183],"RLHF Evaluator (Remote, Contract) — reward model tuning, preference data","Data Scientist (Full-time) — experiment design, feature pipelines, dashboards","Quantitative Analyst (Hybrid) — risk models, alpha signals, market microstructure","NLP Researcher (Remote) — named entity recognition, prompt evaluation","Computer Vision Annotator (Freelance) — segmentation, QA evaluation, tooling","Content Safety Specialist (Remote) — policy labeling, harmful content detection","Operations Research Scientist (Full-time) — optimization, simulation, scheduling",{"h2":185,"desc":186,"bullets":187},"Why Rex.zone for math jobs","Rex.zone is designed to surface math jobs that align with both informational and transactional intent. You can learn about workflows, verify employer types, and apply with confidence through a streamlined process. Navigational intent is covered with consistent linking and profile tools, ensuring you can quickly revisit math jobs and track progress. The platform focuses on real-world utility: transparent requirements, evaluative clarity, and trustworthy hiring signals.",[188,189,190,191],"Curated listings with explicit domain tags and seniority levels","Workflow-first descriptions tied to AI\u002FML pipelines","Clear modifiers: remote, contract, freelance, full-time, entry-level, senior","Fast application routing and interview tracking",{"title":193,"content":194},"Frequently Asked Questions",[195,198,201,204,207,210,214,217,220,223],{"Q":196,"A":197},"What are math jobs, and how do they relate to AI\u002FML workflows on Rex.zone?","math jobs span applied mathematics, statistics, data science, and quantitative roles. On Rex.zone, these jobs often integrate with LLM training pipelines, RLHF, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, and content safety labeling.",{"Q":199,"A":200},"Which industries hire math jobs most actively?","AI labs, tech startups, financial services, healthcare, BPOs, and annotation vendors frequently hire for math jobs. Roles range from data scientist and machine learning engineer to quant researcher and biostatistician.",{"Q":202,"A":203},"Are remote math jobs available?","Yes. Rex.zone lists remote math jobs across time zones, including contract, freelance, and full-time positions with clear outcome metrics and collaboration workflows.",{"Q":205,"A":206},"What skills help me stand out for math jobs?","Strong foundations in probability, statistics, optimization, and programming. Experience with experiment design, model evaluation, training data quality, annotation guidelines compliance, and large language model evaluation is valuable.",{"Q":208,"A":209},"How do math jobs use RLHF?","Roles in RLHF gather preference data, fit reward models, and run policy optimization. Math jobs ensure reliable measurement, unbiased sampling, and ethical feedback design.",{"Q":211,"A":212,"A2":213},"Do math jobs include content safety work?","Yes. Content safety labeling and QA evaluation require mathematical thinking for measurement, risk scoring, and guideline iteration to minimize harmful outputs.","Candidates may work on policy taxonomy design, model red-teaming, and evaluation dashboards.",{"Q":215,"A":216},"What seniority levels exist for math jobs on Rex.zone?","Entry-level, mid-level, senior, staff, and principal. Growth paths include leadership in data science, ML engineering, quant research, and applied mathematics.",{"Q":218,"A":219},"How do I apply for math jobs?","Create a Rex.zone profile, select domains (NLP, CV, content safety, RLHF), attach reproducible notebooks and evaluation reports, and submit tailored applications referencing metrics used by the hiring team.",{"Q":221,"A":222},"Which modifiers help refine searches for math jobs?","Use remote, contract, freelance, full-time, entry-level, and senior. Filter by employer type—AI labs, tech startups, BPOs, annotation vendors—and domain tags like NLP, computer vision, and LLM training.",{"Q":224,"A":225},"What metrics do employers use to assess math jobs?","Model performance improvement, data quality audits, inter-annotator agreement, statistical significance, reproducibility, and production reliability."]