Role Description - Define the AI vision and architecture for the testing function. - Identify testing activities that can be improved with AI, including: - Test case generation - Test data creation - Automated test maintenance - Defect prediction - Root cause analysis - Log and failure analysis - Requirements-to-test traceability - Risk-based test prioritization - Intelligent regression selection - Design and implement AI-enabled frameworks for: - Functional testing - API testing - UI automation - Performance testing - Security testing support - Exploratory testing augmentation - Partner with QA, developers, DevOps, product managers, and data teams to embed AI into CI/CD and quality engineering workflows. - Evaluate and recommend AI/ML, GenAI, and test automation tools. - Establish standards for AI governance, privacy, security, explainability, and responsible usage in testing. - Create architecture for integrating LLMs, test repositories, defect systems, observability tools, and CI platforms. - Define metrics to measure the effectiveness of AI in testing, such as: - Defect leakage - Automation coverage - Test execution efficiency - Flaky test reduction - Mean time to diagnose failures - Release quality trends - Mentor QA engineers and SDETs on AI-assisted testing practices. - Lead pilots, proofs of concept, and scaled rollout of AI testing capabilities. - Ensure compliance with enterprise policies for data handling and model usage. Qualifications - Hands-on experience with tools/languages such as Python, Java, JavaScript, SQL, and test tools like Selenium, Playwright, Cypress, Appium, JUnit, TestNG, PyTest, or similar. - Experience integrating with platforms such as Jira, Azure DevOps, GitHub, Jenkins, GitLab, or cloud test platforms. - Knowledge of test analytics, data pipelines, and observability/log analysis tools. - Strong architecture and design skills for scalable, secure enterprise solutions. - Experience building AI copilots or assistants for QA teams (Desired). - Familiarity with vector databases, model evaluation, and MLOps/LLMOps concepts (Desired). - Experience with cloud platforms such as AWS, Azure, or GCP (Desired). - Understanding of regulated environments and compliance requirements (Desired). - Certifications in test architecture, cloud, AI/ML, or enterprise architecture (Desired). - Hands-on experience with Python (Desired). - Development experience in AWS Cloud technology (Desired). - Experience in TDD, continuous integration, code review practice is strongly desired. - Experience with Apigee or other API gateways is a plus (Desired). - Experience with DevOps concepts and tools (e.g., CI/CD, Jenkins, Git) (Desired). - At least 2 years working on an Agile team with a solid understanding of Agile/Lean practices (Desired). - Understanding of a microservice architecture (Desired). - Experience load and performance testing (Desired). - Strong documentation skills (Desired). Requirements - Expert Level experience required. - This is a Contract position based out of Chicago, IL. Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on May 31, 2026.

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: Regulatory Law Expert Type: Contract Compensation: $100–$120/hour Location: Remote - Build a realistic digital workspace centered on the Drive folders you use daily, including: - Rule comment letters - Regulatory-change analyses - Exam responses - Compliance memos - Policy drafts - Enforcement-defense briefs - Email threads - Represent platforms like: - Westlaw - LexisNexis - Refinitiv World-Check - Dow Jones Risk & Compliance - CUBE - Design multi-step tasks grounded in real workflows, structured around: - Regulatory-change analysis - Rule-making advocacy - Examinations - Enforcement defense - Compliance-program design - Navigate multiple apps, files, and stakeholders to challenge frontier AI agents. - Collaborate with other regulatory attorneys to design the environment, shape task scope, and review scenarios for realism and rigor. - Work asynchronously with research teams to refine task designs and evaluation criteria for regulatory-law agent benchmarks. - Contribute to frontier AI research and benchmarking, directly informing how leading labs train and evaluate the next generation of AI systems. Qualifications - Must-Have: JD and active bar admission. - 3+ years of full-time regulatory experience at an AmLaw 100 firm or Fortune 500 in-house regulatory/compliance team. - Background in areas such as: - Financial-services regulation - Healthcare regulation - Energy regulation - Telecom/tech regulation - Environmental/consumer-product/food-and-drug regulation - Day-to-day use of: - Westlaw - LexisNexis - Refinitiv World-Check - Dow Jones Risk & Compliance - CUBE - Strong analytical thinking and writing skills. Requirements - Transition from an hourly rate to compensation based on throughput of quality work. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description - Design and optimize STEM-based prompts in Traditional Chinese and/or English with scientific accuracy and multiple constraints. - Define and document evaluation standards with comprehensive rubrics for scientific rigor and linguistic clarity. - Conduct model testing and grading by running prompts through AI models to assess outputs for accuracy and reasoning quality. - Support benchmarking and quality assurance to ensure consistency and reliability across Traditional Chinese-language benchmarks. - Collaborate in QA review processes to meet scientific standards and maintain academic tone. Qualifications - Native-level fluency in Traditional Chinese (written), specifically native to Hong Kong or Taiwan. - Strong reading and writing proficiency in English. - BS or BA in Biology, Physics, or Chemistry. - Familiarity with undergraduate-level biology, physics, or chemistry topics. - Strong writing and critical thinking skills. - Ability to work independently and meet deadlines. Requirements - 2+ years of experience in teaching, research, or an applied STEM discipline. - Experience with academic terminology specific to Hong Kong or Taiwan educational standards. Benefits - Contract position with compensation of $38–$43/hour. - Remote work opportunity. - Duration of 3–6 months with a minimum commitment of 20 hours/week. Application Process - Complete a short AI-led interview (approximately 15 minutes). - If approved, complete a paid assessment focused on writing and rubric creation. - If selected, you will be invited to work on the project. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• Lead AI risk assessments across the full model lifecycle • Architect and evolve the firm’s AI governance framework • Evaluate vendor AI documentation • Stay ahead of AI regulatory developments • Serve as the firm’s internal AI risk expert • Represent the firm’s AI governance posture externally • Maintain compliance with all company policies and procedures