Materials Science Expert

Role OverviewnnMercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We’re seeking experienced materials-science professionals from Fortune 500 R&D organizations, major national labs, and top R1 universities (e.g., Corning, 3M, DuPont, Dow, Intel, Applied Materials, national labs, leading materials-science departments) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI.nnYou’ll bring your expertise in materials R&D, characterization, process development, or reliability engineering to build a high-fidelity environment that mirrors the tools, files, and workflows of a serious materials-science organization — and then author tasks grounded in the programs you actually run today.nnKey Responsibilitiesnn- Build a realistic digital workspace centered on the Drive folders you use day-to-day — the experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., VASP or Materials Studio (Biovia), LabVantage LIMS, ANSYS Fluent)n n- Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agentsn n- Collaborate with other materials-science experts in your field to design the environment, shape task scope, and review each other’s scenarios for realism and rigorn n- Work asynchronously with research teams to refine task designs and evaluation criteria for materials-science agent benchmarksn n- Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systemsn nnIdeal Qualificationsnn- MS / PhD in materials science, chemistry, physics, or related disciplinen n- 3+ years of full-time experience at a Fortune 500 R&D organization, national lab, or R1 university materials research groupn n- Background in one or more areas such as:n n – Metals, polymers, ceramics, composites, or semiconductor materialsn n – Characterization (XRD, SEM/TEM, spectroscopy, thermal analysis)n n – Computational materials science / DFT / MDn n – Process development and scale-upn n – Reliability / failure analysis in advanced materialsn n- Day-to-day use of VASP / Materials Studio (Biovia), LabVantage / LabWare LIMS, and ANSYS Fluent / STAR-CCM+n n- Strong analytical thinking and writing — able to translate materials-science workflows into structured task specsn nnCompensation Notenn- Task Completion Pay: Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)n n- Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate!n n- Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.