[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-math-degree-jobs":3},{"Slug":4,"job_category":5,"Meta":6,"Header":9,"Ques":132},"math degree jobs","Math & AI\u002FML Careers",{"title":7,"description":8},"math degree jobs | 2026 Remote jobs","Find math degree jobs, including RLHF data labeling and model evaluation roles. Explore remote, entry-level, and senior AI\u002FML jobs on Rex.zone.",{"title":10,"desc":11,"content":12},"Math Degree Jobs at Rex.zone — AI\u002FML Training, Analytics, RLHF, and Quant Roles","math degree jobs are search-ready roles that apply mathematics, statistics, and optimization to real AI\u002FML training pipelines and data-driven products. On Rex.zone, candidates with BS\u002FMS\u002FPhD in Mathematics, Statistics, Applied Math, or related fields discover remote, contract, freelance, and full-time paths in RLHF (Reinforcement Learning from Human Feedback), data labeling, model evaluation, quant analytics, and operations research. This page defines the job entity, explains core workflows like annotation guidelines compliance, training data quality review, prompt evaluation, and large language model evaluation, and links you directly to live roles on Rex.zone so you can apply today.",[13,21,35,44,57,69,80,89,98,107,129],{"h2":14,"desc":15,"bullets":16},"About math degree jobs","math degree jobs span analytical and model-centric functions needed by AI labs, tech startups, BPOs, and annotation vendors to build reliable AI. You’ll contribute to LLM training pipelines, computer vision annotation, content safety labeling, and statistical decision-making that drive model performance improvement. Employers seek math grads for their ability to formalize problems, reason with uncertainty, and translate metrics into action.",[17,18,19,20],"Entity scope: roles that explicitly use mathematics, statistics, probability, optimization, and numerical methods to inform AI\u002FML systems and data products","AI\u002FML workflows: RLHF loops, data labeling operations, annotation QA evaluation, prompt evaluation, model evaluation and monitoring","Modalities: NLP, computer vision, speech, time series; tasks include named entity recognition, text classification, object detection, transcription, and safety labeling","Business impact: improved training data quality, annotation guidelines compliance, risk reduction, faster iteration cycles, and measurable model performance improvement",{"h2":22,"desc":23,"bullets":24},"High-intent roles hiring now","Explore math degree jobs aligned with measurable AI\u002FML outcomes and data quality ops.",[25,26,27,28,29,30,31,32,33,34],"RLHF Rater \u002F Prompt Evaluation Specialist (remote\u002Fcontract): compare model outputs, score helpfulness\u002Fharmlessness, and document failure modes","Data Labeling Analyst (NLP\u002FCV): apply labeling taxonomies, resolve edge cases, and uphold annotation guidelines compliance","Model Evaluation Associate: run large language model evaluation suites, build golden sets, and track regression via dashboards","Content Safety Labeler: label policy violations, hate\u002Fharassment, and sensitive attributes; calibrate thresholds with QA","NLP Annotation Lead: design NER schemas, assess inter-annotator agreement (IAA), and coach raters for consistency","Computer Vision Annotator: draw bounding boxes, polygons, and keypoints; review IoU metrics and correct drift","Quant\u002FAnalytics Associate: run A\u002FB tests, analyze cohorts, forecast KPIs, and inform product decisions with statistical rigor","Operations Research Analyst: optimize workflows, scheduling, and quality sampling plans in annotation vendors and BPOs","MLOps\u002FData Ops Coordinator: manage data pipelines, metadata, and evaluation datasets for reproducible LLM training pipelines","Applied Math Intern (entry-level): assist with experiment design, metric definition, and exploratory data analysis (EDA)",{"h2":36,"desc":37,"bullets":38},"Work models and search modifiers","Rex.zone features flexible math degree jobs with location and contract variety to fit your career stage.",[39,40,41,42,43],"Remote, hybrid, or on-site; global time-zone coverage","Contract, freelance, full-time; project-based or long-term","Entry-level, mid-level, senior, staff, and lead roles","Domains: NLP, computer vision, content safety, recommendation systems, LLM training","Employer types: AI labs, tech startups, BPOs, annotation vendors, research institutes, enterprise AI teams",{"h2":45,"desc":46,"bullets":47},"Core responsibilities in AI\u002FML training pipelines","Math grads improve the reliability and safety of AI systems by turning ambiguous data into structured signal and evidence.",[48,49,50,51,52,53,54,55,56],"Define labeling schemas and taxonomies for tasks such as NER, topic classification, sentiment, and safety rules","Review training data quality using sampling, control charts, and inter-annotator agreement statistics","Execute prompt evaluation for LLMs; score outputs against rubrics (accuracy, clarity, bias, safety)","Build golden sets and adversarial test cases to detect regressions and improve model performance","Design QA evaluation procedures; document edge cases, rare classes, and error typologies","Calibrate annotation guidelines and lead calibration sessions for guideline drift prevention","Analyze production metrics: false positives\u002Fnegatives, precision\u002Frecall trade-offs, and ROC\u002FPR curves","Collaborate with engineers to integrate evaluation datasets into CI\u002FCD for model release gates","Communicate insights with clear, reproducible analyses in notebooks and dashboards",{"h2":58,"desc":59,"bullets":60},"Skills employers value","Hiring teams on Rex.zone look for rigor, clarity, and the ability to translate math into practical workflows.",[61,62,63,64,65,66,67,68],"Mathematics and statistics: probability, inference, hypothesis testing, Bayesian reasoning, linear algebra","Optimization and operations research: linear programming, integer programming, queueing theory, scheduling","Experimentation: A\u002FB testing, power analysis, variance reduction, causal inference basics","Data tools: Python, R, SQL, notebooks; familiarity with pandas, NumPy; Excel for audits","ML familiarity: evaluation metrics, overfitting\u002Funderfitting, calibration, prompt design; PyTorch\u002FTensorFlow exposure is a plus","Annotation platforms and LLM ops: task setup, labeling UIs, quality frameworks, RLHF best practices","Documentation and communication: writing clear guidelines, creating replicable QA checklists","Quality and compliance mindset: audit trails, policy adherence, and risk-aware labeling",{"h2":70,"desc":71,"bullets":72},"Day-in-the-life: from labeling to RLHF","A typical day in math degree jobs spans hands-on annotation and analytical evaluative work that directly feeds model improvements.",[73,74,75,76,77,78,79],"Refine annotation guidelines with concrete examples and counter-examples; run calibration sessions to lift IAA","Label or review batches, compute spot-check metrics, and document edge cases in a shared knowledge base","Run large language model evaluation scripts on fresh releases; compare against baselines and golden sets","Score prompt evaluation tasks, flag hallucinations, bias, and content safety breaches; propose fixes","Partner with engineers to update sampling strategies and improve training data quality without introducing label bias","Conduct root-cause analysis when metrics regress; quantify impact and prioritize remediation","Present findings to PMs and research leads aligning quality improvements to user outcomes",{"h2":81,"desc":82,"bullets":83},"Compensation, growth, and career paths","Comp ranges vary by geography, modality, and seniority; math degree jobs often scale with your impact on model and business metrics.",[84,85,86,87,88],"Remote contract RLHF rater: hourly or task-based rates; increases tied to accuracy and throughput","Full-time data labeling leads: QA bonuses for sustained quality and low rework rates","Model evaluation associates: salary plus performance incentives tied to model performance improvement","Analytics\u002Fquant roles: compensation aligned to experimental velocity and KPI lift","Career paths: annotator → QA lead → evaluation engineer → data scientist; or analyst → senior analyst → analytics manager → product data science",{"h2":90,"desc":91,"bullets":92},"Where you’ll work","Rex.zone aggregates employers that depend on disciplined measurement and high-fidelity data.",[93,94,95,96,97],"AI labs launching foundation models and safety-critical LLMs","Tech startups building NLP and computer vision products","BPOs and annotation vendors scaling global labeling teams","Enterprises modernizing data operations, search, and content safety","Research institutes running applied math and ML experiments",{"h2":99,"desc":100,"bullets":101},"How to apply on Rex.zone","Your Rex.zone profile allows fast matching and repeat engagements.",[102,103,104,105,106],"Create a profile highlighting math coursework, projects, and tools (Python\u002FR\u002FSQL)","List domain exposure: NLP, computer vision, content safety, time series, optimization","Attach samples: evaluation reports, notebooks, guideline drafts, and dashboards","Set preferences: remote, contract, freelance, full-time; entry-level to senior","Apply to matching roles and enable job alerts for math degree jobs",{"h2":108,"desc":109,"bullets":110},"Popular searches for math degree jobs","Use these high-intent searches to discover targeted openings on Rex.zone.",[111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128],"entry-level math degree jobs remote","RLHF rater jobs for math majors","data labeling jobs NLP and computer vision","prompt evaluation contractor roles","model evaluation analyst remote","content safety labeling jobs","named entity recognition annotation jobs","LLM training pipelines associate","operations research jobs in AI","quantitative analyst math degree","statistical analyst Python SQL remote","A\u002FB testing analyst entry-level","Bayesian statistics jobs","Monte Carlo simulation roles","optimization engineer contract","annotation guidelines compliance lead","training data quality specialist","large language model evaluation jobs",{"h2":130,"desc":131},"Why Rex.zone","Rex.zone is built for discoverability and fit. Our taxonomy aligns job descriptions to the skills math graduates actually use: evaluation metrics, experimentation, optimization, and rigorous documentation. We emphasize transparent scopes, measurable outcomes, and credible workflows so math degree jobs translate into clear day-to-day impact. Create an account, enable job alerts, and apply to roles that match your strengths, from RLHF to analytics.",{"title":133,"content":134},"Frequently Asked Questions",[135,138,141,144,147,150,153],{"Q":136,"A":137},"What are math degree jobs in AI\u002FML?","They are roles where mathematical reasoning improves AI systems and data products. Examples include RLHF rating, data labeling and QA evaluation, prompt evaluation, model evaluation, analytics, and operations research. You’ll help define metrics, uphold annotation guidelines compliance, and drive model performance improvement.",{"Q":139,"A":140},"Which employers post these roles on Rex.zone?","AI labs, tech startups, BPOs, annotation vendors, research institutes, and enterprise AI teams hiring for NLP, computer vision, content safety, and LLM training pipelines.",{"Q":142,"A":143},"Are remote and contract options available?","Yes. Many math degree jobs on Rex.zone are remote, with contract, freelance, and full-time options across entry-level to senior levels.",{"Q":145,"A":146},"What skills should I highlight?","Probability and statistics, optimization, experiment design, Python\u002FR\u002FSQL, data quality auditing, and familiarity with NLP\u002FCV tasks like NER or object detection. Include examples of training data quality work or large language model evaluation.",{"Q":148,"A":149},"How do I stand out for RLHF or evaluation roles?","Show structured rubrics you’ve used, gold-set design, confusion analyses, and clear write-ups that connect findings to model performance improvement. Provide samples in your Rex.zone profile.",{"Q":151,"A":152},"Do I need prior annotation experience?","It helps but isn’t always required. Many employers offer paid training with clear guidelines. Your math background in consistency checks, sampling, and variance reduction maps well to annotation QA evaluation.",{"Q":154,"A":155},"What’s the typical interview process?","Profile review, a timed labeling or prompt evaluation exercise, a metrics and reasoning interview, and sometimes a short analytics case focusing on hypothesis testing or metric design."]