Remote Math Research Collaborator for AI Reasoning

Weekday AI; United States; Remote; USD 110,000 - 152,000; Part time

Benefits offered by this job

Fully remote

Job summary

Weekday AI is seeking accomplished mathematicians for a fully remote, part-time engagement to advance AI models capable of solving complex mathematical problems. The role focuses on evaluating high-level math research and training data for frontier AI systems.

Applicants should have a PhD or equivalent, with strong publication records and recognition in the field. The work is collaborative, with flexible scheduling and weekly payments. Strong mathematical reasoning is essential.

Qualifications

• First-author publications in leading mathematics journals such as Annals of Mathematics, Inventiones Mathematicae, JAMS, Acta Mathematica, and others.
• PhD or postdoctoral training in Mathematics or closely related STEM field.
• Recognition through prestigious fellowships or prizes (e.g., Sloan, Simons, Packard, Rhodes).
• Experience as PI/Co-PI on competitive grants or industry research scientist roles.

Responsibilities

• Review and assess advanced mathematical research papers for correctness and originality.
• Design and evaluate research-level mathematics problems for AI training.
• Analyze AI-generated proofs and problem-solving approaches for accuracy.
• Identify logical errors and missing assumptions requiring expert judgment.
• Collaborate with subject-matter experts to ensure high-quality training data and evaluation standards.
• Provide detailed written feedback to improve AI reasoning.

Skills

Publications in top journals

Research collaboration

Mathematical proof analysis

Remote collaboration

Education

PhD or postdoctoral training

Putnam Fellow or IMO medal

Job description

Weekday AI is seeking accomplished mathematicians for a fully remote, part-time engagement to advance AI models capable of solving complex mathematical problems. The role focuses on evaluating high-level math research and training data for frontier AI systems.

Applicants should have a PhD or equivalent, with strong publication records and recognition in the field. The work is collaborative, with flexible scheduling and weekly payments. Strong mathematical reasoning is essential.