Mathematics Terminal Task Evaluation Lead

About the Role

The Mathematics Terminal Task Evaluation Lead at OpenTrain AI plays a pivotal role in enhancing the accuracy and reliability of AI systems. This position involves leading a team of trainers to assess and refine terminal-based task packages, ensuring they meet rigorous standards of mathematical correctness and reproducibility. In the initial months, you’ll dive deep into the evaluation process, collaborating with your team to provide critical feedback and mentorship. Your contributions will help shape the quality of AI training work, making it an essential function in the evolving landscape of artificial intelligence.

Key Responsibilities

• Lead a pod of trainers in reviewing comprehensive terminal-based task packages that are essential for evaluating AI systems.
• Assess each task package for mathematical accuracy, ensuring that problem statements and datasets are well-structured and meaningful.
• Evaluate the robustness of algorithms by checking for convergence, stability, and handling of edge cases, thereby enhancing the reliability of AI evaluations.
• Provide detailed feedback to trainers, tracking revisions and maintaining high-quality documentation for recurring issues and exemplary tasks.
• Mentor and allocate work to team members, fostering a collaborative environment that encourages growth and technical leadership.
• Verify that all tools and libraries are properly configured to guarantee reproducibility of results across different environments.

Requirements & Qualifications

• A Ph.D. or equivalent advanced experience in mathematics, applied mathematics, statistics, or a closely related field is essential for this role.
• Demonstrated proficiency in programming languages such as Python, Julia, C, C++, or MATLAB, with a strong emphasis on applied mathematics.
• Hands-on experience with numerical methods, scientific computing, and optimization techniques is crucial for effective task evaluation.
• Strong written communication skills are necessary for providing clear and actionable feedback to team members and documenting processes.
• Experience in mentoring or leading small technical teams is a significant advantage, showcasing your ability to guide others in complex evaluations.

What You’ll Gain

• Enhance your expertise in advanced mathematical concepts and their application in AI, setting a strong foundation for future roles in data science or AI development.
• Gain valuable experience in technical leadership and team management, skills that are highly sought after in the tech industry.
• Build a comprehensive understanding of AI training processes, contributing to your professional development in a rapidly growing field.
• Network with other professionals in the field of AI and mathematics, opening doors for future collaborations and opportunities.

How to Apply

To apply for this exciting opportunity, please submit your resume through the OpenTrain platform, then complete your application on the hiring site. For more details and to access the application link, visit: Apply here.