- Experiencia
- Cualquier
- Salario
- USD 25 – USD 100 / hour
- Vacantes
- 1
- Al corriente
- Hace 15 horas
- Modo de trabajo
- Trabajar desde casa
- Reanudar
- Se requiere solicitud
Descripción del trabajo
Role Overview
This contract position involves annotating mathematical data to support advanced AI research by accurately labeling and categorizing mathematical expressions, proofs, equations, and word problems. The role also includes concept mapping to connect mathematical ideas, evaluating AI-generated problem solutions for errors, and aiding in the creation of comprehensive training datasets spanning diverse mathematical topics and difficulty levels.
Responsibilities
- Precise labeling and categorization of various mathematical content.
- Establishing connections between mathematical concepts to aid AI comprehension.
- Reviewing and verifying solutions generated by AI, highlighting inaccuracies, and offering corrective feedback.
- Assisting in curriculum development through the curation of diverse and detailed training materials.
Qualifications and Fit
Ideal candidates bring profound mathematical knowledge, whether through research, teaching, or practical problem-solving. Experience crafting or reviewing complex educational or technical content is important. Strong communication skills and a passion for applying theoretical mathematics are essential. Experience with data labeling, reinforcement learning from human feedback, or other AI training initiatives is an advantage.
Working Conditions and Benefits
This opportunity offers flexible hours and full remote work, requiring a minimum commitment of 15 hours per week. Compensation ranges between $25 and $100 per hour, depending on experience and project specifics. Contributors gain direct influence on widely utilized AI models and enjoy clear ownership and progression opportunities, including leadership and mentorship roles for high performers.
Interview Process
The selection involves initial screening with an AI interviewer focusing on background and experience, followed by a domain-focused assessment to gauge understanding of complex mathematical theories and their practical application.
About the Company
The company creates an advanced data platform that accelerates AI breakthroughs by allowing teams to rapidly iterate on data akin to software code updates. Supported by major investment firms and trusted by top research labs and enterprises globally, they provide expert services and a marketplace enabling smarter, safer AI models.