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 the de 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.
HumanSignal 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 complexity
Required QualificationsEducation- Master's degree required in a mathematics-related field
- PhD strongly preferred in:
- Pure Mathematics
- Applied Mathematics
- Mathematical Statistics
- Computational Mathematics
- Mathematical Physics
- Operations Research
- Or closely related quantitative disciplines
Candidates must hold degrees directly in mathematics or mathematically-intensive fields. Acceptable programs include:
- Mathematics (Pure/Applied)
- Statistics/Mathematical Statistics
- Mathematical Physics
- Actuarial Science (with strong mathematical foundation)
- Operations Research
- Computational Mathematics
- Review and evaluate mathematical solutions for accuracy, rigor, and clarity
- Annotate mathematical reasoning steps and problem-solving approaches
- Validate AI-generated mathematical content across various difficulty levels
- Identify errors in mathematical logic, notation, and methodology
- Provide detailed feedback on mathematical explanations and proofs
- Work with problems spanning algebra, calculus, statistics, linear algebra, differential equations, and advanced mathematics
- Deep understanding of mathematical principles across multiple domains
- Strong analytical and critical thinking skills
- Excellent attention to detail and precision
- Ability to clearly articulate mathematical reasoning
- Experience with mathematical notation and LaTeX preferred
- Familiarity with various problem-solving methodologies
- Ability to work independently and meet deadlines
- Flexible, project-based work - work on your own schedule
- Remote position - work from anywhere
- Variable hours based on project availability and your capacity
- Ongoing training and calibration provided
- Quality-focused environment with performance feedback
- Active researchers, professors, or recent graduates in mathematical fields
- Strong publication record or demonstrated mathematical expertise
- Experience in mathematical education, research, or industry applications
- Passion for advancing AI capabilities in mathematical domains
Interested candidates should be prepared to:
- Submit CV/resume highlighting mathematical qualifications
- Provide proof of advanced degree(s)
- Complete a brief mathematical assessment
- Participate in a qualification review
HumanSignal 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.
Top Skills
What We Do
HumanSignal (formerly known as Heartex) enables data science teams to build AI models with their company DNA. With the emergence of generative AI, it’s more important than ever to build highly differentiated models by guiding foundation models with proprietary data and human feedback. Creators of Label Studio, the most popular open source data labeling platform, HumanSignal enables data scientists to develop high quality datasets and workflows for model training, fine tuning and continuous validation. Today, the Label Studio open source community has more than 250,000 users who have collectively annotated more than 100 million pieces of data. Label Studio Enterprise is available as a cloud service with enhanced security, automation, quality review workflows, and performance reporting, used by leading data science teams including Bombora, Geberit, Outreach, Wyze, and Zendesk.
