The vacancy is well-defined but lacks details on tools and company links, affecting overall clarity.
Job description
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of high-quality data for AI. Our open-source product, Label Studio, is widely adopted for labeling and evaluating data across modalities. We are committed to advancing AI capabilities and ensuring models are grounded in real-world signals.
Responsibilities
- 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
Requirements
- 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
Conditions
- 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
About HumanSignal
HumanSignal is a software company that provides data labeling, evaluation, and quality workflows for AI and machine learning teams. It is best known for Label Studio, an open-source platform used to prepare training data, fine-tune models, and support human-in-the-loop AI workflows. In 2025, it expanded into multimodal data services and expert annotation through HumanSignal Services.