Academic Research Collaborator - Professors & PhDs

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models.

We are seeking Professors and PhD students across all academic disciplines — STEM (ML, Coding, Data Science, CS, Physics, Mathematics, Engineering, Statistics) as well as professional and quantitative domains (Finance, Accounting, Economics, Law, Business). This role involves AI model training and evaluation work, including writing and assessing MLOps tasks and solutions to generate high-quality training data for frontier AI systems.

Location Requirements

1. Overview

We are seeking Professors and PhD students across all academic disciplines — STEM (ML, Coding, Data Science, CS, Physics, Mathematics, Engineering, Statistics) as well as professional and quantitative domains (Finance, Accounting, Economics, Law, Business). This role involves AI model training and evaluation work, including writing and assessing MLOps tasks and solutions to generate high-quality training data for frontier AI systems. You'll design and validate challenging benchmark tasks to help surface and diagnose reasoning and problem-solving gaps in a target model. The work centers on building robust, real-world tasks with executable Python tests and then analyzing model/agent behavior. All applicants are expected to have working proficiency in Python. This is a W2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce. You will join a team of domain experts and together, you will guide the next generation of frontier AI tools.

2. Key Responsibilities

Task Design and Development: Design challenging, real-world domain-specific problems drawn from your area of expertise (e.g., financial modeling, legal reasoning, econometrics, ML, coding, scientific computation) that serve as the foundation for agentic tasks. Problems should be constructed to target specific core capability loss failures identified in a frontier AI model. Spec & Golden Solution Generation: Integrate the problems into an Agentic development environment, preparing all necessary components using Python. Evaluation and Analysis: Evaluate the target model's performance on the tasks Headroom Identification: Identify tasks where the target model fails to pass all tests, specifically classifying the failure as a logical reasoning failure

• Task Design and Development: Design challenging, real-world domain-specific problems drawn from your area of expertise (e.g., financial modeling, legal reasoning, econometrics, ML, coding, scientific computation) that serve as the foundation for agentic tasks. Problems should be constructed to target specific core capability loss failures identified in a frontier AI model.
• Spec & Golden Solution Generation: Integrate the problems into an Agentic development environment, preparing all necessary components using Python.
• Evaluation and Analysis: Evaluate the target model's performance on the tasks
• Headroom Identification: Identify tasks where the target model fails to pass all tests, specifically classifying the failure as a logical reasoning failure

3. Core Qualifications

Current or retired professor, OR PhD student, in any of the following areas: STEM: ML, Coding, Data Science, CS, Physics, Mathematics, Engineering, Statistics, Biology, Chemistry Professional / Quantitative: Finance, Accounting, Economics, Law, Business Degree (or PhD in progress) from a top university in your field Working proficiency in Python — applied in research, industry, GitHub, or coursework (not theoretical familiarity) Ability to engage reliably for at least 30 hours/week during weekdays (i.e. at least 6 hours/day during weekdays) Past experience in AI training, model evaluation and data annotation is preferred Basic ability to work independently and manage one's time Verbal and written communication skills, problem solving skills, and interpersonal skills

• Current or retired professor, OR PhD student, in any of the following areas:

STEM: ML, Coding, Data Science, CS, Physics, Mathematics, Engineering, Statistics, Biology, Chemistry

Professional / Quantitative: Finance, Accounting, Economics, Law, Business

• STEM: ML, Coding, Data Science, CS, Physics, Mathematics, Engineering, Statistics, Biology, Chemistry
• Professional / Quantitative: Finance, Accounting, Economics, Law, Business
• Degree (or PhD in progress) from a top university in your field
• Working proficiency in Python — applied in research, industry, GitHub, or coursework (not theoretical familiarity)
• Ability to engage reliably for at least 30 hours/week during weekdays (i.e. at least 6 hours/day during weekdays)
• Past experience in AI training, model evaluation and data annotation is preferred
• Basic ability to work independently and manage one's time
• Verbal and written communication skills, problem solving skills, and interpersonal skills
• STEM: ML, Coding, Data Science, CS, Physics, Mathematics, Engineering, Statistics, Biology, Chemistry
• Professional / Quantitative: Finance, Accounting, Economics, Law, Business

About Cincinnatus LLC

Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract-based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve part-time or full-time commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus LLC.

Equal Employment Opportunity

Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.