Role Description - Evaluate AI performance on land use classification and change detection using satellite imagery. - Analyze environmental monitoring and geospatial feature extraction from satellite and aerial imagery. - Assess AI-generated geospatial outputs for scientific accuracy and soundness. - Collaborate with AI research teams to improve model training and evaluation. - Work independently and asynchronously to enhance AI model performance in geospatial analysis. Qualifications - Advanced domain expertise in geospatial science. - Experience with remote sensing methodologies and GIS analysis. - Background at organizations like USGS, NASA, NOAA, or a defense/intelligence contractor. Company 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.

Role Description - Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models. - Create high-quality data to inform the future of AI innovation by developing difficult problems in your domain. - Collaborate with AI research teams to improve training data quality and downstream performance. - Work independently and asynchronously to meet deadlines while enhancing AI model performance. - Provide structured feedback to ensure consistency, relevance, and coverage across datasets. Qualifications - PhD or advanced degree (or equivalent industry experience) in Medicine, Healthcare, Statistics, Data Science, AI/ML Research, Computer Science, Game Development, or Mechanical/Aerospace Engineering. - High attention to detail. - Exceptional written and verbal communication skills. Requirements - Complete a short interview and task (20–30 mins). - Paid onboarding time includes this and a few onboarding videos. - Application Process (Takes 20–30 mins to complete): - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - 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 The Enterprise Strategy & Analytics Lead plays a critical role in developing market intelligence, financial insights, and strategic business case rigor that inform Agilent’s long‑term direction. Reporting to the VP of Enterprise Strategy, this leader partners closely with the enterprise strategy team, Group Strategy leaders, FP&A, and Segment Marketing. This role emphasizes financial analysis, ROI and cash‑conversion performance assessment, forecasting, and the use of AI tools to enhance analytical quality and efficiency. The Strategic Analysis & Planning Lead identifies emerging trends, evaluates competitive and market conditions, and highlights new growth opportunities, with a preference for candidates with healthcare, life sciences, or scientific tools industry experience. Key Responsibilities - Market & Financial Insight Development - Define business and market taxonomy and partner with Market Intelligence to maintain segmentation and market-sizing models. - Build deep insights into market structure, competitive behavior, and financial performance through systematic evaluation of value drivers. - Collaborate with Finance and FP&A to assess ROI, cash conversion rates, rolling forecasts, and scenario modeling. - Strategic Opportunity Assessment - Work with Enterprise Portfolio and Corporate Development to evaluate white‑space markets and adjacent expansion opportunities. - Review and ensure rigor in strategic business cases, challenging assumptions and ensuring strong sensitivity analysis. - Monitor macroeconomic, regulatory, and competitive trends to identify risks, disruptors, and long‑term implications. - AI‑Enabled Analysis & Efficiency - Leverage AI tools to improve market analysis, forecasting accuracy, and analytical productivity. - Identify opportunities to automate and streamline workflow, ensuring the team remains at the forefront of efficiency and modern analytical practices. - Evaluate how AI, including generative tools, can drive better insights and faster execution. - Leadership, Collaboration & Communication - Mentor team members in research methodologies, analytical frameworks, financial modeling, and business case development. - Partner with Market Intelligence to deliver quarterly “state of the market” insights for senior leadership. - Collaborate cross‑functionally with Segment Marketing, Group Strategy, FP&A, Corporate Development, and executive leaders. Qualifications - Bachelor’s or Master's degree; business, finance, or life-science-related field preferred. - 10+ years’ experience in strategy, business development, market analysis, consulting, investment banking, FP&A, or related disciplines. - Deep experience in market and business assessment, including primary and secondary research, market modeling, and business case development. - Strong collaboration and relationship-building skills, particularly in matrixed and globally distributed organizations. - Excellent communication—written, verbal, executive presentation, and interpersonal. - Proven ability to operate in a fast‑paced, ambiguous, highly cross‑functional environment. - Leadership maturity, high emotional intelligence, and the ability to constructively challenge assumptions. - Preferred experience in healthcare, life sciences, diagnostics, or scientific instrumentation industries. - Demonstrated ability to use AI tools for market analysis, forecasting, or business optimization. Requirements - This job has a full time weekly schedule. - It includes the option to work remotely. - Applications for this job will be accepted until at least June 3, 2026 or until the job is no longer posted. - The full-time equivalent pay range for this position is $163,600.00 - $306,750.00/yr plus eligibility for bonus, stock and benefits. - Pay ranges are determined by role, level, and location. - During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Benefits - Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. - All individuals, regardless of personal characteristics, are encouraged to apply. - All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation. - Agilent Technologies, Inc., is committed to creating and maintaining an inclusive workplace where everyone is welcome. - If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030.

• Build and improve AI-native products and data-driven systems • Work hands-on with LLMs, structured/unstructured data, APIs, and modern ML workflows • Rapidly prototype and iterate on AI-powered features • Analyze, evaluate, and improve model outputs and system reliability • Work closely with engineers, product teams, and founders in fast-moving startup environments • Use tools like Claude, Cursor, notebooks, copilots, and AI-assisted workflows daily • Help shape data pipelines, evaluation systems, experimentation workflows, and production AI features • Contribute to AI-powered products across fintech, biotech, infrastructure, and next-generation startups