FP&A AI Research Contributor
The contributor will design realistic FP&A tasks based on professional experience to test AI performance. They are also responsible for creating precise yes-or-no grading criteria to evaluate AI outputs.
The contributor will design realistic FP&A tasks based on professional experience to test AI performance. They are also responsible for creating precise yes-or-no grading criteria to evaluate AI outputs.
Create realistic professional work products—such as financial models, legal documents, clinical or scientific analyses, and policy briefs—to help improve AI models. Depending on expertise, review other contributors’ work and collaborate asynchronously on discrete, paid projects.
Create realistic Excel tasks based on consulting work, including extending models, repairing broken models, and building models from briefs. Complete each task to establish a correct answer, then write precise yes-or-no grading criteria for evaluating AI attempts.
Create realistic Excel tasks based on people operations work, including extending, repairing, or building models, and complete each task to establish a correct answer. Write precise yes-or-no grading criteria and collaborate with a reviewer to finalize evaluation tasks for AI models.
Create realistic Excel-based tasks derived from professional supply chain experience to test AI model performance. Develop precise yes-or-no grading rubrics to evaluate AI accuracy against the created tasks.
Create realistic Excel-based tasks derived from professional legal experience to test and evaluate AI model performance. Develop precise yes-or-no grading criteria to assess the accuracy of AI-generated outputs.
You will create realistic Excel tasks based on your professional experience to test and train AI models. This involves writing precise yes-or-no grading criteria and ensuring all tasks are technically accurate.
Create realistic Excel tasks based on accounting and financial reporting work, including extending, repairing, and building models, and complete each task to establish a correct answer. Write precise yes-or-no grading criteria and collaborate with a reviewer to finalize tasks after they are tested against AI models.
Create realistic Excel tasks based on equity research work, including extending, repairing, or building financial models, and complete each task to establish a correct answer. Write precise yes-or-no grading criteria and collaborate with a reviewer to finalize tasks used to evaluate AI models.
Create realistic Excel modeling tasks based on private equity work, including extending, repairing, or building models from a brief, and complete each task to establish a correct answer. Write precise yes-or-no grading criteria for evaluating AI model attempts, and collaborate with a reviewer to finalize tasks.
Create realistic Excel tasks based on marketing analytics work, including extending, repairing, or building models, and complete each task to establish a correct answer. Write precise yes-or-no grading criteria and, when AI models make errors, develop a detailed rubric with a reviewer.
Create realistic Excel tasks based on real estate investment, development, or lending work, including extending, repairing, or building financial models. Complete each task to establish a correct answer, then write precise yes-or-no grading criteria for evaluating AI model attempts.
Create realistic Excel tasks based on actuarial work, including extending, repairing, or building models, and complete each task to establish a correct answer. Develop precise yes-or-no grading criteria for evaluating AI model attempts, and collaborate with a reviewer to finalize tasks.
Create realistic Excel tasks based on venture capital work, including extending, repairing, and building financial models, and complete each task to establish a correct answer. Write precise yes-or-no grading criteria and collaborate with a reviewer to finalize tasks for evaluation against AI models.
Create realistic Excel tasks based on sales and revenue operations work, including extending, repairing, or building models from a brief. Complete each task to establish a correct answer and write precise yes-or-no grading criteria for evaluating AI attempts.
Create realistic Excel modeling tasks based on investment banking, credit, and research work, including extending, repairing, or building models. Complete each task to establish the correct result, then develop precise yes-or-no grading criteria for AI model attempts.
Create realistic PowerPoint tasks based on professional deal work to test AI capabilities in investment banking. Develop precise yes-or-no checklists that allow AI systems to accurately grade the completed tasks.
The role involves creating realistic PowerPoint tasks based on professional investor relations and FP&A reporting cycles. You will also develop precise yes-or-no checklists to enable AI-based grading of these tasks.
Create realistic PowerPoint tasks based on professional advisory work to test AI performance. Develop precise yes-or-no checklists to enable accurate AI grading of the completed tasks.
The researcher will create realistic PowerPoint tasks based on their professional investment experience to test AI capabilities. They are responsible for building decks, defining correct answers, and writing precise binary rubrics for AI evaluation.
Perform structural annotation on de-identified chest CT scans by marking points, bounding boxes, and measurements. Ensure consistency across studies by following detailed annotation guidelines to support clinical AI imaging model development.
You will perform structural annotations on de-identified chest CT scans, including marking points, bounding boxes, and measurements. This role supports clinical AI imaging model development and requires strict adherence to annotation guidelines.
Perform structural annotation on de-identified chest CT scans by marking points, bounding boxes, and measurements. Follow detailed annotation guidelines to ensure spatial accuracy and consistency for clinical AI model development.
Annotate and code clinical documents such as discharge summaries and lab results using SNOMED CT standards. Participate in quality review and adjudication rounds to ensure coding consistency and accuracy for clinical AI development.
Physicians will design clinical scenarios and validate AI model outputs to ensure accuracy and safety in medical contexts. They will also provide written rationales for model performance and contribute to continuous improvement through feedback on edge cases.
Review and assess AI-generated health coaching responses for safety, regulatory compliance, and clinical accuracy. Provide structured grading and written feedback to help refine AI models for patient-facing guidance.
The role involves labeling and curating clinical data to train AI models and performing human-in-the-loop evaluations to ensure clinical accuracy and safety. You will also engage in prompt engineering and develop scoring rubrics to refine AI performance in healthcare applications.
The role involves labeling and curating clinical data to train AI models while performing human-in-the-loop evaluations for accuracy and safety. You will also design prompts, refine scoring rubrics, and collaborate with researchers to improve clinical annotation standards.
Contribute deal experience to a research project to improve AI reasoning in investment banking and capital markets. Generate, refine, and evaluate content reflecting senior professional thinking on transactions from origination to close.