Manufacturing - Chemical Engineering Expert
Mercor (client confidential) · Remote
- Pay
- $1,150–1,450
- Commitment
- part-time
- Source
- mercor
About this role
**Role Overview** Mercor 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 chemical-engineering professionals from **Fortune 500 chemical, petrochemical, and specialty-materials companies** (e.g., Dow, DuPont, LyondellBasell, ExxonMobil Chemical, Eastman, Air Products, BASF US) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI. You'll bring your expertise in process engineering, plant operations, R&D / scale-up, or EH&S to build a high-fidelity environment that mirrors the tools, files, and workflows of a large process-industries enterprise — and then author tasks grounded in the programs you actually run today. **Key Responsibilities** - Build a realistic digital workspace centered on the Drive folders you use day-to-day — the process flow diagrams, P&IDs, PHA / HAZOP reports, mass & energy balance models, turnaround plans, OSHA PSM documentation, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Aspen Plus / CHEMKIN, ANSYS Fluent, Siemens Opcenter) - 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 agents - Collaborate with other chemical-engineering experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor - Work asynchronously with research teams to refine task designs and evaluation criteria for chemical-process agent benchmarks - Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems **Ideal Qualifications** - BS / MS / PhD in Chemical Engineering or related discipline - 3+ years of full-time experience at a **Fortune 500 chemical, petrochemical, or specialty-materials company, or major engineering / EPC firm** - Background in one or more areas such as: - Process design, simulation, or scale-up - Plant operations, operations engineering, or turnaround planning - Process safety (PHA / HAZOP, PSM under 29 CFR 1910.119) - R&D or product development - EH&S, emissions compliance, or sustainability engineering - PE license a plus - Day-to-day use of CHEMKIN / Aspen Plus, ANSYS Fluent / STAR-CCM+, and Siemens Opcenter or Rockwell FactoryTalk - Strong analytical thinking and writing — able to translate process-industry workflows into structured task specs **Compensation Note** - **Task Completion Pay:** Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves) - **Performance Bonus:** Top performers receive a weekly bonus incentive on top of their per task rate! - **Hourly Opportunity:** Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.
Eligible applicant countries
This role accepts applicants from:
- USA
Skills & domains
- ai-training
- rlhf
- sme
- annotation
- Other Engineering
