Math Professor Jobs: Tenure Track, Teaching, and Research Roles

Math professor jobs are academic and industry-affiliated roles for scholars who teach mathematics, advance research, and mentor students. On Rex.zone, candidates can discover full-time, contract, freelance, and remote positions that intersect with AI/ML training workflows—optimization, statistics, probability, numerical analysis, and data science informing RLHF, training data quality, model performance improvement, and large language model evaluation. This page connects informational details, application pathways, and navigational cues to Rex.zone so you can explore math professor jobs, compare employers, and apply today.

About the Role

Math professor jobs include tenure-track assistant professor, associate professor, and full professor positions, plus non-tenure lecturer, visiting scholar, and postdoctoral appointments. Professors deliver course instruction in calculus, linear algebra, discrete mathematics, real and complex analysis, abstract algebra, probability and statistics, optimization, numerical methods, and computational mathematics. They conduct peer-reviewed research, secure grants, advise graduate students, and collaborate across disciplines such as data science, machine learning, NLP, and computer vision. Increasingly, mathematics faculty partner with AI labs, tech startups, BPOs, and annotation vendors to co-develop methods for training data quality, annotation guidelines compliance, and reliable model evaluation, bridging pure theory with practical AI systems.

AI/ML Workflows and Mathematics

Math professor jobs frequently intersect with real-world AI/ML training pipelines. Faculty in probability, statistics, and optimization underpin reinforcement learning and RLHF methodologies, shaping reward modeling and evaluation frameworks. Professors versed in measure theory, stochastic processes, and Bayesian inference improve annotation sampling strategies and quality assurance. Experts in graph theory and combinatorics enable named entity recognition enhancements through efficient sequence labeling and structured prediction. Researchers in functional analysis and numerical methods optimize large-scale training, fine-tuning LLMs and computer vision models, while content safety labeling and prompt evaluation rely on rigorous metrics design and statistical significance testing. Many math professors advise capstone projects that include data labeling and annotation guideline development to ensure reliable model performance improvement across NLP, computer vision annotation, and content safety workflows.

Key Responsibilities

Math professor jobs balance teaching, research, and service. Teaching includes course design, syllabus creation, lectures, labs, office hours, and assessment. Research involves proposing mathematical theories, computing rigorous proofs, developing models, publishing articles, presenting at conferences, and obtaining grants. Service includes departmental committees, accreditation tasks (including ABET interactions for engineering-related programs), outreach, and peer review. Industry-engaged professors often co-author with AI labs, oversee data labeling studies, and produce open-source tools for model evaluation. Senior faculty build centers for applied mathematics, AI safety, and optimization to catalyze interdisciplinary work with NLP and computer vision groups.

Required Qualifications

Most math professor jobs require a PhD in Mathematics, Applied Mathematics, Statistics, or a closely related field. Candidates should demonstrate strong research potential, a record of publications, and teaching excellence. For roles at the intersection of ML and data science, proficiency in Python or Julia, experience with linear algebra libraries, knowledge of optimization frameworks, and familiarity with probabilistic modeling are valued. Evidence of curriculum development that integrates data labeling, annotation guidelines compliance, and model performance improvement is a plus.

Preferred Experience

Competitive candidates for math professor jobs often show cross-disciplinary impact in data science, machine learning, and AI policy or safety. Experience designing experiments for training data quality, inter-rater agreement, and prompt evaluation helps align academic work with industry needs. Familiarity with named entity recognition, computer vision annotation pipelines, content safety labeling, and large language model evaluation open doors to joint appointments with AI labs and annotation vendors. A track record of mentoring diverse cohorts and building inclusive classrooms is highly regarded.

Job Types and Search Modifiers

On Rex.zone you can filter math professor jobs by remote, contract, freelance, full-time, entry-level (postdoc or lecturer), and senior (associate/full professor). Tenure-track and non-tenure options are available. You will find postings grounded in NLP, computer vision, content safety, and LLM training, alongside core disciplines like analysis and topology. Whether you prefer research-intensive roles or teaching-focused colleges, Rex.zone streamlines navigation, application, and employer comparison.

Employers and Domains

Traditional employers include universities, liberal arts colleges, community colleges, and polytechnics. Many math professor jobs now span AI labs, tech startups, BPOs, and annotation vendors seeking expertise in statistical evaluation, optimization, and labeling workflows. Professors contribute to NLP and computer vision projects, advise content safety initiatives, and help establish best practices for training data quality. Across departments, joint appointments in data science institutes, AI centers, and applied mathematics programs expand research opportunities and funding pathways.

Compensation and Benefits

Compensation for math professor jobs varies by region, institution type, and rank. Assistant professors on tenure track receive competitive salaries, startup funds, and research support. Associate and full professors may earn higher pay with additional stipends for administrative roles or industry collaborations. Benefits often include health insurance, retirement plans, sabbaticals, conference travel, visa sponsorship when applicable, and seed funding for labs focused on optimization or LLM evaluation. Adjunct and contract roles may offer hourly or per-course rates; remote teaching positions provide flexibility for candidates balancing research and consulting.

Application Materials

Prepare a CV, research statement, teaching statement, and evidence of teaching effectiveness (syllabi, student evaluations). Include publications, preprints, and links to software repositories. Highlight courses taught, curriculum design, and any modules on RLHF, prompt evaluation, or QA frameworks. For math professor jobs with industry collaboration, summarize projects that improved annotation guidelines compliance and model performance improvement. Provide references who can speak to both scholarly rigor and inclusive teaching.

Career Pathways

Early-career academics progress from postdoc or lecturer to tenure-track assistant professor. Successful tenure cases move to associate professor and eventually full professor, with options to become department chair or center director. Alternative pathways include research professor roles, industry-affiliated positions with AI labs, and joint appointments integrating mathematics with data science. Math professor jobs that emphasize numerical analysis, optimization, and statistics are particularly aligned with modern AI, from large language model evaluation to computer vision annotation workflow design.

How to Apply on Rex.zone

Use Rex.zone to discover math professor jobs and submit streamlined applications. Create a profile, upload application materials, and set alerts for remote, contract, freelance, full-time, entry-level, and senior roles. Filter by domains (NLP, computer vision, content safety, LLM training) and by subfields (probability, statistics, optimization, numerical analysis). Rex.zone simplifies discovery and navigation so you can compare employers, track status, and apply efficiently.

Location and Remote Work

Many institutions now support hybrid or fully remote teaching, opening access to math professor jobs beyond local campuses. Remote roles may include online lecture delivery, office hours, student mentorship, and participation in AI/ML research seminars via virtual collaboration. Contract and freelance opportunities include curriculum consulting for data labeling teams and annotation vendor training. Rex.zone highlights positions with clear remote policies, visa sponsorship options, and time zone considerations.

Diversity, Equity, and Inclusion

Math professor jobs thrive when departments cultivate inclusive curricula and equitable hiring. Candidates who center universal design for learning, culturally responsive pedagogy, and transparent assessment practices help broaden participation in mathematics. Collaboration with AI labs and annotation vendors also benefits from diverse perspectives, improving training data quality and reducing bias in model evaluation and content safety labeling. Rex.zone encourages institutions to publish inclusive values and candidates to highlight DEI contributions.

Why Rex.zone for Math Professor Jobs

Rex.zone offers curated listings, intent-aware navigation, and robust filters tailored to math professor jobs. We connect informational intent (role definitions, workflows, skills), transactional intent (apply now, compare postings), and navigational intent (Rex.zone profile and tools) in one platform. Whether your focus is pure mathematics or applied AI, our ecosystem spans universities, AI labs, tech startups, BPOs, and annotation vendors. Explore openings aligned with RLHF, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipelines.

Call to Action

Ready to explore math professor jobs? Start on Rex.zone. Set your preferences for remote, contract, freelance, full-time, entry-level, or senior roles. Upload materials, subscribe to alerts, and apply to matched positions across universities, AI labs, tech startups, BPOs, and annotation vendors. Your expertise in mathematics, optimization, statistics, or numerical analysis is essential to modern AI—join a team where theory informs practice and help shape the future of large language model evaluation, training data quality, and content safety.

Frequently Asked Questions

Q: What are the typical duties for math professor jobs?
Teaching, research, and service: course design, lectures, grading, office hours; publishing in journals and conferences; advising students; participating in committees and outreach.
Q: Do math professor jobs include AI/ML collaboration?
Yes. Many roles intersect with AI/ML workflows including RLHF, training data quality, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipelines.
Q: Are there remote math professor jobs?
Remote and hybrid roles exist for online teaching, mentorship, and research collaboration. Rex.zone filters remote, contract, freelance, full-time, entry-level, and senior postings.
Q: What qualifications do I need?
Typically a PhD in Mathematics or related field, publications, and teaching experience. Experience in optimization, statistics, numerical methods, or data science strengthens applications.
Q: What materials should I submit?
CV, research statement, teaching statement, syllabi, student evaluations, publications or preprints, and references. Highlight any work on RLHF, QA metrics, or model evaluation.
Q: What employers hire math professors?
Universities, colleges, and polytechnics, plus AI labs, tech startups, BPOs, and annotation vendors seeking expertise in evaluation, optimization, and data labeling workflows.
Q: Is tenure track required?
No. Math professor jobs include tenure-track and non-tenure roles: lecturer, visiting professor, adjunct, and postdoctoral positions, with industry-affiliated research options.
Q: What is the salary range?
Ranges by region and institution. Assistant professors have competitive starting packages; associate and full professors earn more. Remote and adjunct roles may be per-course or hourly.
Q: How does Rex.zone help candidates?
Rex.zone offers curated listings, advanced filters, application tracking, and alerts. It unites informational, transactional, and navigational intent so you can apply efficiently.
Q: What domains are in demand now?
Probability, statistics, optimization, numerical analysis, and computational math are in high demand—especially when aligned with NLP, computer vision, content safety, and LLM training.

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