Weekday (YC W21)

General

• Offer specialized knowledge in forensic psychiatry to assist in training and evaluating AI systems.
• Examine, assess, and annotate case materials and clinical scenarios to verify the accuracy of psychiatric and legal concepts.
• Analyze AI-generated outputs and provide expert feedback to enhance clinical, ethical, and legal accuracy.
• Share insights on competency evaluations, criminal accountability, and assessments of violence risk to improve model understanding.
• Work alongside AI researchers and content teams to optimize prompts, datasets, and training resources.
• Ensure AI outputs conform to professional standards, ethical guidelines, and practices in forensic mental health.

Forensic Psychiatrist

Systems Engineer

• Review real-world data from deployed networks (logs, configurations, telemetry, event streams)
• Label, classify, and analyze network behaviors, issues, and anomalies
• Write scripts/tools to process, clean, and transform network data
• Help define schemas and structure for large-scale data pipelines
• Collaborate closely with the client team to improve data quality and usability for ML systems

Network Engineer, Programming – Data & AI Systems

Data Scientist

• Advise research and engineering teams on statistical methodologies, experimental design, predictive modeling, and analytical best practices.
• Help improve AI model performance across data science, analytics, and machine learning domains.
• Create complex, real-world data science tasks that test quantitative reasoning, statistical thinking, and machine learning knowledge.
• Develop accurate, well-structured solutions that reflect industry best practices.
• Review and assess analytical solutions generated by AI systems and subject matter experts.
• Identify errors, inconsistencies, flawed assumptions, and opportunities for improvement.
• Provide clear, actionable feedback to enhance model quality and reasoning capabilities.
• Build scoring rubrics and evaluation methodologies for:
• Statistical reasoning
• Predictive modeling
• Machine learning workflows
• Data interpretation
• Experimental design
• Business analytics and decision-making
• Ensure consistent quality standards across datasets and evaluation processes.
• Work closely with AI researchers, engineers, and domain experts to maintain accuracy, consistency, and rigor in training data development.

Consultant

• Join a leading AI lab at the forefront of generative AI innovation and help shape the future of performance-driven AI systems.
• Contribute expertise toward evaluating and improving AI models that transfer and preserve human performances across different outputs.
• Establish evaluation standards: Define criteria for assessing performance fidelity, emotional authenticity, and physical accuracy.
• Evaluate how effectively AI-generated outputs preserve the original actor’s intent, timing, expression, and movement.
• Identify shortcomings in existing evaluation approaches and recommend improvements.
• Curate benchmark content: Select and analyze performance examples that range from straightforward to highly nuanced and challenging.
• Help establish meaningful benchmark datasets for evaluating AI performance transfer capabilities.
• Shape human evaluation frameworks: Define reviewer qualifications, expertise requirements, and evaluation methodologies.
• Develop scoring rubrics and guidelines for large-scale human review processes.
• Collaborate closely with other creative and technical specialists to ensure evaluation consistency and quality.
• Provide subject matter expertise that informs future model development and assessment strategies.

Acting & Animation Performance Consultant

Financial Planning and Analysis

• Help create, review, and simulate realistic legal scenarios, including private equity transactions, cross-border M&A, leveraged buyouts, fund formation, regulatory filings, and deal structuring.
• Understand how international finance deals operate, including Partner-led teams working across PE, M&A, and debt financing workstreams.
• US bar qualification is a plus.

Legal Expert, US Finance

• Design clinically realistic prompts and scenarios drawn from your EM practice (triage, undifferentiated chief complaints, resuscitation, procedural sedation, disposition decisions)
• Write "golden" reference responses at attending-level quality
• Grade AI-generated responses against structured rubrics
• Provide written feedback the research team uses to improve model behavior
• Participate in onboarding office hours and specialty calibration sessions

Emergency Medicine Expert

Project Manager

• The key responsibility of the PM is to work closely with the Program Manager/Director on assigned projects owning end-to-end project management.
• PM’s exemplify our core behaviors and create an environment for a successful team.
• Responsible for driving the end-to-end execution of problem statements including data analysis, interpretations, solutioning, stakeholder coordination, presentation preparations, excel based analysis to identify cost savings and working with clients for approval/implementation of problem statement which gets converted to Enterprise level projects.
• Strategically aligning the business vision and objectives to the projects that are initiated in different departments
• Manage the project/program governance framework
• Preparing & presenting progress/issues/budget to the appropriate Steering Committee
• Facilitate seamless flow of communication from Top to Bottom and the other way around for seamless execution of projects at Project/Program & Enterprise level
• Manage cross-functional team of resources
• Draws on reason and logic in making a case
• Actively seeks ways of improving current methods, systems, processes and structures
• Points out redundant steps in methods or procedures to bring in best practices

Account Executive

• Conduct one-on-one consultations via phone or video calls to understand client needs, goals, and concerns.
• Educate clients by simplifying complex concepts and providing clear, easy-to-understand guidance.
• Recommend suitable solutions based on individual requirements and circumstances.
• Build trust through personalized interactions, proactive follow-ups, and responsive communication.
• Address customer queries through calls, emails, and messaging platforms while ensuring a seamless experience.
• Maintain detailed records of client interactions, opportunity stages, and customer feedback within the CRM system.
• Collaborate closely with internal teams to ensure smooth handovers and efficient service delivery.
• Share customer insights and feedback to support improvements across product, operations, and customer experience functions.
• Stay updated on industry developments, regulations, and service offerings to provide accurate and relevant advice.
• Consistently manage and nurture the sales pipeline while maintaining high service standards.

Inside Sales Consultant

Marketing

• Serve as the subject matter expert for Salesforce Marketing Cloud (SFMC) engagements.
• Provide strategic guidance on Salesforce Marketing Cloud architecture, capabilities, and best practices aligned to business objectives.
• Partner with stakeholders to define customer engagement strategies, campaign roadmaps, and automation frameworks.
• Participate in planning sessions, project reviews, and client meetings as the primary SFMC expert.
• Configure, manage, and optimize Salesforce Marketing Cloud components.
• - Email Studio
• - Mobile Studio
• - Social Studio
• - Web Studio / CloudPages
• - Journey Builder
• - Automation Studio
• - Contact Builder and Data Designer
• Build and manage Data Extensions, SQL queries, segmentation logic, and automation workflows.
• Configure triggered sends, scheduled automations, and data synchronization processes.
• Support integrations with CRM platforms, APIs, and external data sources.
• Troubleshoot platform issues, campaign errors, and performance challenges.
• Build, test, deploy, and optimize email campaigns and customer journeys.
• Configure dynamic content, personalization rules, audience segmentation, and automation logic.
• Conduct quality assurance testing across devices, browsers, and email clients.
• Design and manage A/B testing initiatives to improve campaign performance.
• Coordinate deployment schedules, stakeholder approvals, and campaign launches.
• Develop responsive email templates using HTML and CSS.
• Ensure adherence to accessibility standards and brand guidelines.
• Create reusable email frameworks and modular content structures.
• Support content optimization and personalization initiatives.
• Analyze campaign metrics and manage data hygiene.
• Deliver actionable recommendations to improve campaign effectiveness.

Marketing Cloud Consultant

QA Engineer

• Validate end-to-end business processes across multiple applications and integrated systems.
• Perform Functional Testing, Regression Testing, Smoke Testing, and End-to-End Testing to ensure application quality.
• Maintain traceability between requirements, test cases, execution results, and defects.
• Perform API testing using Postman and other API validation tools.
• Validate REST APIs, web services, and system interfaces to ensure accurate data exchange.
• Execute SQL queries to validate backend data and business transactions.
• Identify, document, prioritize, and track defects through resolution.
• Support release validation and deployment verification activities.
• Recommend enhancements to testing processes, methodologies, and quality practices.
• Maintain accurate testing documentation and status reporting.

QA Engineer – SIT and Integration Testing

AI Engineer

• Lead the design, development, and deployment of advanced AI-powered applications leveraging Large Language Models (LLMs), Agentic AI frameworks, and cloud-native technologies.
• Play a key role in architecting and delivering next-generation AI solutions, including multi-agent systems, Retrieval-Augmented Generation (RAG) platforms, intelligent automation workflows, and enterprise-grade GenAI applications.
• Work closely with product managers, data engineers, architects, and business stakeholders to transform business requirements into innovative AI-driven solutions.
• Establish best practices for AI application architecture, development, testing, and deployment.
• Monitor AI applications for latency, accuracy, scalability, and cost efficiency.
• Collaborate closely with engineering, product, and business teams throughout project lifecycles.
• Mentor team members and share best practices across AI engineering initiatives.

Senior AI Engineer

• Analyze and assess practical advisory scenarios related to budgets, emergency funds, debt management, retirement planning, and investment decisions designed for average households.
• Evaluate AI-generated suggestions for their appropriateness, clarity, compliance, and practical applicability for W-2 employees and middle-income families.
• Record the progression of real advisor-client discussions, including goal prioritization, exploring trade-offs, and guiding clients through key decision points.
• Outline decision-making frameworks, common heuristics, and benchmarks frequently employed in practice (such as cash reserve goals, debt repayment priorities, and retirement contribution rates).
• Provide straightforward, easy-to-understand written feedback aimed at improving AI explanations, recommended next steps, and client communications.
• Detect and highlight any compliance or risk-related concerns, focusing on a fiduciary, client-centered approach and advising appropriate referrals (e.g., to CPAs, attorneys, or insurance specialists).
• Support the creation and refinement of workflows and procedures that embody best practices in everyday personal finance advising.

Financial Advisor – CFA, CFP

• Analyze realistic financial planning scenarios that mirror typical client discussions, including budgets, emergency funds, debt repayment, retirement planning, and more.
• Assess AI-generated recommendations for their appropriateness, clarity, and practical application for mainstream and mass-affluent households.
• Explain how you would lead advisory conversations—covering question frameworks, setting goal priorities, and discussing trade-offs (e.g., mortgage payments versus 401(k) matching, debt repayment versus investing).
• Communicate actionable decision-making guidelines and common rules of thumb used with real clients (such as cash reserve goals or savings rate targets).
• Provide written feedback aimed at improving AI-generated explanations, suggested next steps, and trade-off presentations—emphasizing clear and empathetic language for non-expert audiences.
• Identify compliance and risk factors, advising when to remain within scope or refer clients to specialists such as CPAs, attorneys, or insurance professionals.

Certified Financial Planner

• Own the end-to-end quality strategy for complex distributed systems and data integration platforms.
• Ensure reliability across APIs, event pipelines, databases, and downstream data warehouses.
• Work closely with engineering, product, and business teams to validate data accuracy, system performance, and platform stability.
• Drive robust testing frameworks.
• Improve release confidence.
• Ensure seamless data flow across interconnected systems.

Senior QA Engineer – Automation, Data, Kafka

Architect

• In this position, you will utilize your expertise to assist in training next-generation AI systems.
• Your contributions will influence how models learn, reason, and operate by providing high-quality, real-world input.
• Work closely with the client's team to ensure the accuracy and relevance of data input related to architectural workflows.
• Assess Building Information Modeling (BIM) content to guarantee compliance with standards and best practices.
• Provide feedback on design methodologies, drawing standards, and project documentation as they pertain to AI development.
• Engage in knowledge-sharing sessions to improve AI models by integrating current architectural expertise.
• Identify gaps in the system’s understanding and suggest solutions based on industry experience.