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AI Training for Mathematics
2 weeks ago
Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role
As an AI Tutor, Mathematics, you will play a crucial role in advancing the capabilities of cutting-edge artificial intelligence. Your expertise will be leveraged to label and annotate complex mathematical data, providing the foundation for training and refining AI models. You will work on projects involving a wide range of mathematical concepts, ensuring that AI systems can understand, interpret, and solve problems with human-level accuracy. This is a project-based, remote freelance role.
Your Day to Day
- Data annotation: Accurately label and categorize mathematical expressions, equations, proofs, word problems, and other relevant data.
- Concept mapping: Connect mathematical concepts and establish relationships between different areas of mathematics to help AI models understand the underlying structure of the subject.
- Problem-solving verification: Analyze AI-generated solutions to mathematical problems, identifying errors and providing feedback to improve model accuracy.
- Curriculum development: Contribute to the development of comprehensive training datasets that cover a wide range of mathematical concepts and difficulty levels.
About You
We are seeking highly motivated individuals with a strong foundation in mathematics and a passion for shaping the future of AI. You should be comfortable working independently, have excellent analytical skills, and be detail-oriented. We have three levels of expertise for this role:
- Level 1 (Bachelor's Level): Strong understanding of arithmetic, algebra, geometry, trigonometry, and basic calculus. Ability to solve math word problems and familiarity with basic probability and statistics.
- Level 2 (Master's Level): In addition to Level 1 requirements, proficiency in calculus and advanced math concepts like linear algebra, differential equations (ordinary and partial), and discrete mathematics. Familiarity with mathematical model building and basic game theoretic concepts.
- Level 3 (PhD Level): Expert-level understanding of advanced mathematical concepts, including theorem proving, complex analysis, abstract algebra, topology, and advanced statistical modeling techniques. Experience with research and the ability to explain complex mathematical concepts clearly.
For all levels:
- Excellent problem-solving skills and analytical thinking ability.
- Strong attention to detail and a commitment to accuracy.
- Ability to work independently and manage time effectively.
- Excellent written and verbal communication skills.
Excel in a remote-friendly hybrid model.We are dedicated to achieving excellence and recognize the importance of bringing our talented team together. While we continue to embrace remote work, we have transitioned to a hybrid model with a focus on nurturing collaboration and connection within our dedicated tech hubs in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, with the added convenience of hub-based gatherings.
Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox's Job Applicant Privacy notice.
Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications. If you are uncertain about the legitimacy of any communication you have received, please do not hesitate to reach out to us at recruiting@labelbox.com for clarification and verification.
