jobs with a math degree

Looking for jobs with a math degree that connect to real AI/ML work? This page explains how math-heavy roles power LLM training pipelines, RLHF (Reinforcement Learning from Human Feedback), data labeling, prompt evaluation, QA evaluation, named entity recognition, computer vision annotation, and content safety labeling. On Rex.zone, you can discover, compare, and apply to jobs with a math degree across remote, contract, freelance, and full-time opportunities at AI labs, tech startups, BPOs, and annotation vendors. Start here to understand the roles, workflows, skills, and hiring paths—and then apply directly on Rex.zone.

About These Careers

Many professionals search for jobs with a math degree and wonder where their quantitative skills fit in modern AI and data-centric organizations. The answer: everywhere. From data science and operations research to RLHF evaluator roles and data labeling quality assurance, mathematics is the backbone of model performance improvement and training data quality. Employers use your strengths in probability, statistics, linear algebra, and optimization to design experiments, analyze model outputs, tune prompts, and validate datasets at scale. On Rex.zone, you’ll find jobs with a math degree that span the full AI development lifecycle: dataset curation, annotation guidelines compliance, human-in-the-loop evaluation, benchmarking, error analysis, and experiment design. If you enjoy rigorous reasoning, you’ll see how jobs with a math degree translate directly into better LLMs, safer content policies, and more reliable computer vision systems. Whether you’re entry-level or senior, jobs with a math degree include pathways in NLP, computer vision, content safety, causal inference, forecasting, and risk modeling—plus traditional tracks like actuarial analysis and quantitative finance.

Popular Roles and Titles You’ll See

These roles frequently appear on Rex.zone for candidates seeking jobs with a math degree:

Core AI/ML Workflows You’ll Support

Jobs with a math degree intersect with critical model training workflows. Expect to contribute to:

Day-to-Day Responsibilities

While specifics vary by employer and domain, jobs with a math degree often include:

Skills and Tools That Stand Out

Jobs with a math degree reward a mix of theoretical grounding and practical tooling.

Employment Types and Work Modes

Find jobs with a math degree across flexible arrangements on Rex.zone:

Domains and Employers

Jobs with a math degree appear in multiple domains and employer types:

Compensation and Career Growth

Compensation for jobs with a math degree varies by region, skill depth, and employment type. Contract and freelance annotation or evaluation work may pay hourly rates, with premiums for complex domains, multilingual capability, or senior QA responsibilities. Full-time analytics, data science, or model evaluation roles typically offer competitive salaries, bonuses, and benefits. Growth paths include moving from labeling to QA evaluation lead, then to evaluation engineer or data scientist; or from analyst to senior statistician or research specialist. Employers value candidates who can quantify impact, improve training data quality, and demonstrate model performance improvement with clear metrics and documentation.

How Hiring Works on Rex.zone

Rex.zone connects candidates seeking jobs with a math degree to vetted AI and analytics teams. Here’s the typical flow:

Who Thrives in These Roles

If you’re evaluating jobs with a math degree, you’ll thrive if you:

Sample Interview Topics

Interviews for jobs with a math degree often cover:

Search Modifiers to Use

Use these high-intent modifiers on Rex.zone to target the right jobs with a math degree:

Call to Action

Ready to apply for jobs with a math degree? Create your profile on Rex.zone, set your preferences (remote, contract, freelance, full-time), and start matching to roles in NLP, computer vision, content safety, and LLM training. With your math background, you can measurably improve training data quality and model performance improvement across modern AI systems.

Frequently Asked Questions

Q: What are the best entry-level jobs with a math degree?
On Rex.zone, common entry-level jobs with a math degree include data labeling quality analyst, RLHF evaluator, prompt evaluation specialist, NER annotator, and junior data analyst. These roles teach annotation guidelines compliance, training data quality checks, and model performance improvement techniques, creating a strong foundation for data science or evaluation engineering.
Q: Can I find remote jobs with a math degree on Rex.zone?
Yes. Many employers offer remote jobs with a math degree, including contract, freelance, and full-time opportunities. Remote-friendly roles include LLM prompt evaluation, content safety labeling, computer vision annotation, QA evaluation, and data analyst positions across NLP, computer vision, and trust and safety.
Q: How does a math degree help in RLHF and LLM evaluation?
RLHF and LLM evaluation rely on rigorous metrics, sampling plans, and error analysis—all aligned with jobs with a math degree. You’ll apply probability, statistics, and optimization to design rubrics, measure agreement, and quantify model performance improvement, contributing directly to safer and more helpful AI systems.
Q: Which employers post jobs with a math degree?
You’ll see AI labs, tech startups, BPOs, annotation vendors, and enterprise research teams posting jobs with a math degree on Rex.zone. Roles range from entry-level labeling to senior analytics, and from short-term evaluation projects to long-term full-time positions.
Q: What skills increase my chances for math-focused AI roles?
For jobs with a math degree in AI, build skills in Python, SQL, statistics, experiment design, and annotation tooling. Experience with RLHF workflows, prompt evaluation, content safety labeling, named entity recognition, and computer vision annotation will help you stand out on Rex.zone.
Q: How do I move from labeling to data science or evaluation engineering?
Start with labeling or QA evaluation roles to learn guidelines, datasets, and failure modes—core exposure for jobs with a math degree. Then take on tasks like metric design, automation with Python/SQL, and experiment analysis. On Rex.zone, highlight these projects to qualify for data scientist or model evaluation engineer roles.

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