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/ML 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.

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/ML 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.

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.

Workflows in AI/ML 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Frequently Asked Questions

Q: What are math jobs, and how do they relate to AI/ML 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: 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: 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: 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: 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: 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.
Q: 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: 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: 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: What metrics do employers use to assess math jobs?
Model performance improvement, data quality audits, inter-annotator agreement, statistical significance, reproducibility, and production reliability.

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