Math Expert (US & International)

The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.Our open-source product,Label Studio, has become thede facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.About the RoleHumanSignal is seeking highly qualified mathematics experts to contribute to cutting-edge AI development projects. This role involves evaluating, annotating, and validating mathematical content to improve AI model performance in mathematical reasoning and problem-solving.CompensationUp to $110 USD/hour based on qualifications and project complexityRequired QualificationsEducationMaster's degree required in a mathematics-related fieldPhD strongly preferred in:Pure MathematicsApplied MathematicsMathematical StatisticsComputational MathematicsMathematical PhysicsOperations ResearchOr closely related quantitative disciplinesDegree Field RequirementsCandidates must hold degrees directly in mathematics or mathematically-intensive fields. Acceptable programs include:Mathematics (Pure/Applied)Statistics/Mathematical StatisticsMathematical PhysicsActuarial Science (with strong mathematical foundation)Operations ResearchComputational MathematicsResponsibilitiesReview and evaluate mathematical solutions for accuracy, rigor, and clarityAnnotate mathematical reasoning steps and problem-solving approachesValidate AI-generated mathematical content across various difficulty levelsIdentify errors in mathematical logic, notation, and methodologyProvide detailed feedback on mathematical explanations and proofsWork with problems spanning algebra, calculus, statistics, linear algebra, differential equations, and advanced mathematicsQualificationsDeep understanding of mathematical principles across multiple domainsStrong analytical and critical thinking skillsExcellent attention to detail and precisionAbility to clearly articulate mathematical reasoningExperience with mathematical notation and LaTeX preferredFamiliarity with various problem-solving methodologiesAbility to work independently and meet deadlinesFlexible, project-based work — work on your own scheduleRemote position — work from anywhereVariable hours based on project availability and your capacityOngoing training and calibration providedQuality-focused environment with performance feedbackIdeal Candidate ProfileActive researchers, professors, or recent graduates in mathematical fieldsStrong publication record or demonstrated mathematical expertiseExperience in mathematical education, research, or industry applicationsPassion for advancing AI capabilities in mathematical domainsHow to ApplyInterested candidates should be prepared to:Submit CV/resume highlighting mathematical qualificationsProvide proof of advanced degree(s)Complete a brief mathematical assessmentHumanSignal is a leading provider of AI data annotation and labeling services, powering the development of next-generation AI systems. We work with top technology companies and research institutions to create high-quality training data.HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr