• Owns the Stratus Intelligence Platform: the data, machine learning, and reasoning capabilities that make compounding intelligence real. • Accountable for delivering in the AI roadmap, ensuring that AI workloads scale on the platform, and the ML lifecycle that trains and serves models. • Set the Intelligence strategy in close partnership with the CTO, build the team that delivers it, and stay close enough to the technical work to make hard architectural calls when they arise. • Stand up the canonical data layer, the ML platform, and the learning and reasoning capabilities. • Hire and develop a high-leverage Intelligence team (Data, AI/ML, AVE). • Set the bar for craft and shape the operating cadence. • Stand up the trust patterns needed to ship AI workloads to customers with confidence: evaluation frameworks, observability for AI, drift detection, confidence scoring.

• Work closely with the Product Owner (PO) • Execute requests by configuring and testing Sophie (Chatbot) • Understand client needs and implement solutions on the platform **Note:** The role does not involve AI development; it focuses on chatbot analysis and management activities.

Role Description Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - We create high-quality STEM training data for frontier AI models. - Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. - We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. - Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. What you’ll do: - Design advanced mathematical problems for frontier AI training and evaluation. - Create deterministic problems with exactly one correct answer. - Write complete, verified solutions and clearly document the reasoning process. - Develop problems that test deep mathematical reasoning, not just memorization. - Where relevant, use Python or specialized tools to build computational workflows. - Ensure all outputs are technically precise, reproducible, and well-written in English. Qualifications - Master’s or PhD in Mathematics or a closely related field. - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics. - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar. - Solid grasp of algorithms, numerical methods, and computational approaches. - Ability to design original, difficult problems that mirror real mathematical workflows. - Excellent attention to detail and technical writing skills in English. Requirements - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software (nice to have). - Background in olympiad-level, graduate-level, or research-level problem design (nice to have). - Experience evaluating model reasoning, benchmarking, or technical assessment design (nice to have). Benefits - Remote work opportunity. - Contract / Part-time position. - Commitment of 20 hours per week. - Compensation of up to 40 USD / hr. - Project duration of 2 months, with potential extension. - Immediate start availability.

Role 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, and Jack Dorsey. Position: Mathematics Researchers (Part-time) Type: Contract Compensation: $90–$150/hour Location: Remote Commitment: 8–20 hours/week Role Responsibilities - Author and review challenging mathematics problems to train and evaluate frontier AI models. - Evaluate model outputs on tasks such as proof construction, verification, problem-solving, formalization, and conjecture exploration. - Identify areas where current models fail, focusing on subtle errors like unjustified steps or misapplied hypotheses. - Collaborate with a small program team and other senior contributors to enhance model performance. Qualifications - First-author or sole-author publications in top mathematics journals. - Doctoral or postdoctoral training at a top-20 global institution for mathematics or STEM. - Competitive fellowships and honors such as Clay Research Fellowship, NSF GRFP, or Sloan Research Fellowship. - Experience as a PhD candidate, postdoc, instructor, faculty, principal researcher, or industry research mathematician. Requirements - NSF CAREER or other grants as a named PI or co-PI (preferred). - Outstanding senior PhD students and recent graduates with strong publication records (preferred). Benefits - Part-time: 8 to 20 hours per week. - Compensation reflects research seniority and credentials. - No fixed end date; contributors continue as long as the program needs their expertise. Application Process - Upload resume. - AI interview based on your resume. - Submit form. For details about the interview process and platform information, please check: Interview Process For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.