Operate commercial-scale production equipment to produce, test, or modify materials, devices, or systems of molecular or macromolecular composition. Work under the supervision of engineering staff.
U.S. Workers
64,410
Median Salary
$77,390
10-Year Growth
+1.5%
Annual Openings
5,700
Typical entry: Associate's degree
19 of 19 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Measure or mix chemicals or compounds in accordance with detailed instructions or formulas.
AI: Fully automatable - Automated laboratory platforms and robotic liquid/solid handlers can accurately measure and mix chemicals according to detailed instructions without human intervention.
Monitor equipment during operation to ensure adherence to specifications for characteristics such as pressure, temperature, or flow.
AI: Fully automatable - Sensor networks and AI control systems are capable of continuous monitoring and automated adjustment to maintain parameters like pressure, temperature, and flow within specifications.
Record nanotechnology test results in logs, laboratory notebooks, or spreadsheet software.
AI: Fully automatable - Recording test results can be fully automated via instrument integration, LIMS, and software that populate logs, notebooks, or spreadsheets directly.
Maintain accurate record or batch-record documentation of nanoproduction.
AI: Fully automatable - AI and integrated software can fully automate recordkeeping and batch documentation by ingesting instrument and process data to produce accurate, auditable logs and reports.
Assist nanoscientists, engineers, or technologists in writing process specifications or documentation.
AI: Fully automatable - AI tools can comprehensively draft, edit, and format process specifications and documentation, leveraging standards and existing data to effectively assist scientists and engineers.
Compile information or prepare reports on nanotechnology experiments or applications.
AI: Fully automatable - AI can gather data, synthesize findings, and generate summaries and reports, automating most of the compilation and reporting workflow for nanotechnology experiments and applications.
Measure emission of nanodust or nanoparticles during nanocomposite or other nano-scale production processes, using systems such as aerosol detection systems.
AI: Fully automatable - Real-time aerosol and nanoparticle emission monitoring with integrated detectors and AI analytics is already deployable, enabling automated measurement, anomaly detection, and reporting in production settings.
Operate nanotechnology compounding, testing, processing, or production equipment in accordance with appropriate standard operating procedures, good manufacturing practices, hazardous material restrictions, or health and safety requirements.
AI: Partial - Many aspects of operating compounding/testing/production equipment can be automated under SOPs and GMP, but regulatory compliance, safety interventions, and unexpected exceptions still require human supervision and intervention.
Maintain work area according to cleanroom or other processing standards.
AI: Partial - Monitoring and some cleaning/maintenance tasks in cleanrooms can be automated, but meeting certified cleanroom standards and handling exceptions still depends on trained personnel and manual procedures.
Repair nanotechnology processing or testing equipment or submit work orders for equipment repair.
AI: Partial - AI can detect faults, log issues, and autonomously submit work orders, but performing complex repairs on nanotechnology equipment typically requires human technicians.
Calibrate nanotechnology equipment, such as weighing, testing, or production equipment.
AI: Partial - Routine calibrations can be automated by software and calibration rigs, but many calibration tasks require manual adjustment, physical intervention, and expert verification.
Assist nanoscientists, engineers, or technologists in processing or characterizing materials according to physical or chemical properties.
AI: Partial - AI can assist substantially with data analysis, protocol guidance, and instrument control for processing and characterization, but hands-on experimental assistance and nuanced judgment remain partially human-dependent.
Produce detailed images or measurement of objects, using tools such as scanning tunneling microscopes or oscilloscopes.
AI: Partial - AI can operate instruments remotely and analyze signals to produce images/measurements, but reliable STM imaging requires delicate sample preparation and tip conditioning that are not generally fully automated by 2025.
Inspect nanotechnology work products to ensure quality or adherence to specifications.
AI: Partial - Automated imaging and AI-based defect detection handle much of inspection, but sample handling, ambiguous/edge-case judgments, and nonstandard specifications limit complete automation in nanotech QA.
Perform functional tests of nano-enhanced assemblies, components, or systems, using equipment such as torque gauges or conductivity meters.
AI: Partial - AI can control test equipment and interpret results, but physical fixturing and handling of delicate nano-enhanced assemblies and bespoke test setups still require human technicians or specialized robotics.
Set up or execute nanoparticle experiments according to detailed instructions.
AI: Partial - AI-driven lab automation can execute standardized nanoparticle protocols, but complex experimental setups, unpredictable conditions, and fine manual adjustments prevent general full automation as of 2025.
Measure or report toxicity of engineered nanoparticles.
AI: Partial - AI can design assays, analyze toxicity data, and predict hazards, but conducting biological toxicity measurements (wet lab work, in vivo studies) and interpreting complex results cannot be fully automated by 2025.
Assemble components, using techniques such as interference fitting, solvent bonding, adhesive bonding, heat sealing, or ultrasonic welding.
AI: Partial - AI-guided robotics can automate many assembly operations in controlled manufacturing, but diverse bonding methods and small-scale/nanoscale manipulations still often rely on human skill and oversight.
Test nano-enabled products to determine amount of shedding or loss of nanoparticles.
AI: Partial - AI and lab automation can run instruments and analyze nanoparticle release data, but complex sample handling, contamination control, method validation, and safety considerations in nano-testing still require human oversight and expertise.