Remote Math Jobs — Mathematical Reasoning, Data Annotation, RLHF & LLM Evaluation

Remote math jobs at Rex.zone connect mathematical reasoning experts with AI/ML training workflows. This job entity covers mathematical data labeling, prompt evaluation, QA evaluation, RLHF annotation, and large language model evaluation to improve training data quality and model performance. You’ll author and verify problems, solutions, and reasoning traces aligned with annotation guidelines compliance, supporting LLM training pipelines across NLP, computer vision annotation, and content safety labeling. Apply through Rex.zone to work with AI labs, tech startups, BPOs, and annotation vendors on projects that integrate math knowledge with structured datasets, evaluation protocols, and model feedback loops.

About the Role

Join remote teams building high-quality mathematical datasets and evaluations for AI systems. You will create rigorous problem sets (algebra, calculus, probability, statistics, discrete math), validate step-by-step solutions, assess chain-of-thought quality, and run prompt evaluation for reasoning tasks. Work spans RLHF preference labeling, rubric-driven QA evaluation, and large language model evaluation to ensure training data quality and model performance improvement across diverse domains.

Key Responsibilities

Design and label math problems with clear specifications; verify solutions and reasoning traces; perform RLHF preference comparisons; run structured QA evaluation; write annotation guidelines and ensure annotation guidelines compliance; execute prompt evaluation for difficulty, ambiguity, and correctness; conduct named entity recognition for math-related texts; contribute to computer vision annotation when math is embedded in diagrams; support content safety labeling for math datasets; document results for LLM training pipelines and datasets.

Required Skills

Strong foundation in mathematics (undergraduate or higher level) across core topics; precision in symbolic reasoning and numerical methods; familiarity with LLM evaluation and RLHF workflows; ability to follow detailed guidelines; excellent written communication; comfort with spreadsheet-based labeling, JSON schemas, and evaluation rubrics; experience with Python or LaTeX is a plus; understanding of model performance metrics, error taxonomies, and data quality checks.

Workflows & Tools

You will use labeling platforms integrated with Rex.zone, versioned datasets, and rubric-based evaluation templates. Tools include Python notebooks for checks, LaTeX for math formatting, and task portals for prompt evaluation, preference labeling, and error tracking. Work emphasizes reproducibility, audit trails, inter-annotator agreement, and coverage across math difficulty levels to improve large language model evaluation outcomes.

Employment Types & Domains

Openings include remote, contract, freelance, and full-time roles across entry-level, mid-level, and senior tracks. Domain coverage: NLP math reasoning, computer vision annotation for math diagrams, content safety labeling for educational datasets, and LLM training. Employers include AI labs, tech startups, BPOs, and specialized annotation vendors collaborating via Rex.zone.

Impact & Outcomes

Your work directly improves model performance improvement, training data quality, and consistency of math reasoning outputs. By enforcing annotation guidelines compliance and robust validation, you reduce hallucinations, enhance solution reliability, and provide measurable gains in benchmark metrics. Projects often include curriculum design, competence progression, and adversarial test development.

Compensation

Rates vary by project scope and seniority: competitive hourly or task-based pay for contract and freelance; market-aligned salaries for full-time. Senior roles may include bonuses tied to dataset quality KPIs, evaluation throughput, and contribution to LLM training pipelines. All payments are processed through Rex.zone partner programs.

How to Apply

Create a profile and submit samples (problem authoring, solution verification, rubric-based evaluations) on Rex.zone. Highlight math domains, tooling experience, and prior work in RLHF or large language model evaluation. Qualified applicants are matched to employers (AI labs, startups, BPOs, annotation vendors) for remote projects.

Why Rex.zone

Rex.zone is a specialized platform connecting domain experts to AI/ML training initiatives. We provide standardized guidelines, onboarding, and QA support, ensuring consistent annotation quality. Navigate projects, track progress, and collaborate with distributed teams using Rex.zone’s workflows designed for scale and transparency.

Frequently Asked Questions

Q: What types of math tasks are included?
Typical tasks include authoring and verifying algebra, calculus, probability, statistics, number theory, and discrete math problems; evaluating chain-of-thought reasoning; performing RLHF preference comparisons; prompt evaluation for correctness and clarity; and QA evaluation aligned with rubric guidelines.
Q: Do I need prior RLHF or LLM evaluation experience?
It’s preferred but not mandatory. We provide training modules on RLHF, annotation guidelines compliance, and large language model evaluation. Strong math fundamentals and attention to detail are essential.
Q: Are roles remote and flexible?
Yes. Roles are fully remote with options for contract, freelance, and full-time. Schedules are flexible, with entry-level to senior tracks available depending on project complexity and throughput targets.
Q: Which employers hire through Rex.zone?
Rex.zone partners with AI labs, tech startups, BPOs, and annotation vendors. Projects range from research-grade datasets to production-ready evaluations and content safety labeling initiatives.
Q: What tools will I use?
Expect web-based labeling platforms, Python notebooks for validation checks, LaTeX or markdown for math formatting, and standardized rubrics for QA evaluation and prompt assessment.
Q: How are payments handled?
Contract and freelance payments are task- or hourly-based; full-time roles offer salaries. Payments and invoices are managed through Rex.zone or employer-integrated systems.
Q: How do I get started?
Create your profile on Rex.zone, complete the onboarding, pass sample evaluations, and list your math domains and tool experience. You’ll then be matched to suitable remote math jobs.

230+Domains Covered

120K+PhD, Specialist, Experts Onboarded

50+Countries Represented

Industry-Leading Compensation

We believe exceptional intelligence deserves exceptional pay. Our platform consistently offers rates above the industry average, rewarding experts for their true value and real impact on frontier AI. Here, your expertise isn't just appreciated—it's properly compensated.

Work Remotely, Work Freely

No office. No commute. No constraints. Our fully remote workflow gives experts complete flexibility to work at their own pace, from any country, any time zone. You focus on meaningful tasks—we handle the rest.

Respect at the Core of Everything

AI trainers are the heart of our company. We treat every expert with trust, humanity, and genuine appreciation. From personalized support to transparent communication, we build long-term relationships rooted in respect and care.

Ready to Shape the Future of Mathematical Reasoning & AI Data Annotation?

Apply Now.