Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. 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 full-time or fixed-term 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. 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.
Academic Researcher
Location
Worldwide
Posted
18 days ago
Salary
$80 - $110 / hour
Seniority
Mid Level
No structured requirement data.
Job Description
Academic Researcher
Mercor
Role Description Design challenging, real-world domain-specific problems in areas like: - Financial modeling - Legal reasoning - Econometrics - ML - Coding Focus on addressing core capability loss failures in frontier AI models. Integrate problems into an Agentic development environment using Python. Prepare all necessary components for robust task execution. Evaluate the target model's performance on designed tasks. Analyze outcomes to improve model reasoning and outputs. Identify tasks where the model fails to pass tests. Classify failures as logical reasoning issues to guide future improvements. Collaborate with domain experts to enhance AI model training and ensure task relevance and accuracy. Qualifications - Current or retired professor, or PhD student, in STEM or professional/quantitative domains. - Degree or PhD in progress from a top university. - Working proficiency in Python applied in research, industry, GitHub, or coursework. - Ability to engage reliably for 30+ hours/week during weekdays. - Basic ability to work independently and manage time effectively. - Strong verbal and written communication skills. Requirements - Past experience in AI training, model evaluation, and data annotation. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include: - Benchmark - General Catalyst - Peter Thiel - Adam D'Angelo - Larry Summers - Jack Dorsey
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