Remote | Expert Professors - Professional Domains — $70–$95/hour

We are sharing a specialised part-time consulting opportunity for current or retired professors across finance, accounting, law, and other professional services domains with strong domain expertise, structured reasoning ability, and the ability to design and evaluate challenging real-world tasks for frontier AI systems. This role supports an exciting collaboration with a leading AI lab focused on improving frontier models through high-quality benchmark task design, golden solution development, model evaluation, and analysis of reasoning and problem-solving gaps in coding and agentic workflows. Selected professionals will design domain-specific benchmark tasks, prepare detailed specifications and golden solutions in an agentic development environment, evaluate cross-model performance, identify reasoning failures, analyze agent trajectories, and help improve overall model quality. This opportunity is especially well-suited to highly analytical academic experts who are comfortable translating professional domain knowledge into structured evaluation tasks that reflect real-world complexity and executable testing standards.

Key Responsibilities

Professionals in this role may contribute to: Task Design & Development Design challenging, real-world domain-specific problems that serve as the foundation for agentic tasks Construct problems to target specific capability and reasoning failures in frontier AI models Help ensure that tasks are robust, realistic, and suitable for rigorous evaluation workflows Specification & Golden Solution Generation Integrate problems into an agentic development environment using Python Prepare detailed task instructions, overviews, and golden solutions Contribute domain-specific consultation and feedback to support high-quality task development Evaluation & Model Analysis Evaluate model performance across designed tasks Identify tasks where the target model fails to pass all tests, particularly where failures reflect logical reasoning gaps Analyze agent trajectories to extract core capability loss patterns and support model improvement Ideal Profile Strong candidates may have: Current or retired professor experience in finance, accounting, law, or other professional services domains A degree in finance, accounting, law, or a closely related field Ability to engage reliably for at least 30 hours per week during weekdays Basic ability to work independently and manage time effectively Strong verbal and written communication, problem solving, and interpersonal skills

Preferred Qualifications

Past experience in AI training, model evaluation, or data annotation Ability to translate domain expertise into structured benchmark and evaluation tasks Comfort working with Python in an agentic development environment Strong consistency and precision in evaluating reasoning and problem-solving workflows Why This Opportunity Contribute specialised academic and professional domain expertise to a cutting-edge AI collaboration Help shape the next generation of frontier AI tools through benchmark design and reasoning evaluation Work on high-impact tasks with strong real-world and research relevance Structured remote work with competitive hourly compensation Contract Details W2 employment position with Cincinnatus LLC Contingent remote role Hourly compensation of $70–$95 per hour Open to candidates located in the United States Expected commitment of at least 30 hours per week during weekdays, including at least 6 hours per day on weekdays Opportunity to be placed at a leading AI lab as part of its extended workforce Role-based position with structured collaboration and integration into standard enterprise workflows Employment, onboarding, payroll, benefits, and compliance are administered by Cincinnatus LLC Start date: Immediate About The Platform This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects. Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific content validation. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy