Mechanical Engineering Technicians

Calculate required capacities for equipment of proposed system to obtain specified performance and submit data to engineering personnel for approval.

AI: Fully automatable - Capacity calculations are well within algorithmic methods and AI tools can compute required equipment sizes and prepare submission packages for engineering approval.

Draft detail drawing or sketch for drafting room completion or to request parts fabrication by machine, sheet or wood shops.

AI: Fully automatable - Automated CAD and generative design tools can produce detailed drawings and fabrication-ready sketches suitable for shop orders with minimal human input.

Record test procedures and results, numerical and graphical data, and recommendations for changes in product or test methods.

AI: Fully automatable - Recording procedures, capturing numerical/graphical data, and generating reports and recommendations can be fully automated by data‑logging and AI report generation systems.

Evaluate tool drawing designs by measuring drawing dimensions and comparing with original specifications for form and function using engineering skills.

AI: Fully automatable - AI can automatically compare digital tool drawings to original specifications, measure dimensions, and flag form/function deviations, enabling full automation in digital workflows.

Prepare parts sketches and write work orders and purchase requests to be furnished by outside contractors.

AI: Fully automatable - AI can produce parts sketches (including CAD) and generate work orders and purchase requests from specifications, fully automating those drafting and clerical tasks.

Estimate cost factors including labor and material for purchased and fabricated parts and costs for assembly, testing, or installing.

AI: Fully automatable - AI can estimate labor, material, and related costs using historical data, parametric models, and supplier databases well enough to fully automate routine cost estimation tasks.

Inspect lines and figures for clarity and return erroneous drawings to designer for correction.

AI: Fully automatable - AI tools can parse CAD/drawing files and images, detect clarity/consistency issues, and generate actionable correction requests to designers using vision and NLP.

Discuss changes in design, method of manufacture and assembly, and drafting techniques and procedures with staff and coordinate corrections.

AI: Partial - AI can propose design and manufacturing changes, produce documentation, and coordinate schedules, but interpersonal negotiation and final coordination with staff are not fully automatable.

Set up prototype and test apparatus and operate test controlling equipment to observe and record prototype test results.

AI: Partial - AI can operate automated test controllers and record results reliably, but initial apparatus setup and physical manipulation of test rigs usually require technicians.

Review project instructions and blueprints to ascertain test specifications, procedures, and objectives, and test nature of technical problems such as redesign.

AI: Partial - AI can parse digital instructions and CAD drawings to extract test specs and suggest procedures, but interpreting ambiguous requirements and deciding on redesign scope still needs human judgment.

Devise, fabricate, and assemble new or modified mechanical components for products such as industrial machinery or equipment, and measuring instruments.

AI: Partial - AI can design and simulate new or modified components and generate fabrication instructions, but independent physical fabrication and assembly still require human or robotic systems and oversight.

Operate drill press, grinders, engine lathe, or other machines to modify parts tested or to fabricate experimental parts for testing.

AI: Partial - AI can generate CNC programs and guide semi‑automated machining, yet direct operation of common manual shop machines (drill press, grinders, lathes) typically still needs skilled human machinists.

Analyze test results in relation to design or rated specifications and test objectives, and modify or adjust equipment to meet specifications.

AI: Partial - AI can analyze test data against specifications and recommend adjustments, but executing physical modifications and validating safety/performance changes typically require human technicians.

Confer with technicians and submit reports of test results to engineering department and recommend design or material changes.

AI: Partial - AI can synthesize test data, draft reports, and propose design or material changes but cannot fully replace human-to-human conferencing and final engineering judgment.

Read dials and meters to determine amperage, voltage, electrical output and input at specific operating temperature to analyze parts performance.

AI: Partial - AI can analyze sensor feeds or images to determine amperage/voltage and correlate with temperature for performance analysis, but physical in‑situ measurement and verification often require human action.

Review project instructions and specifications to identify, modify and plan requirements fabrication, assembly and testing.

AI: Partial - AI can parse specifications and generate modified plans and fabrication/assembly/testing requirements, yet complex contextual decisions and final approval typically need human oversight.

Set up and conduct tests of complete units and components under operational conditions to investigate proposals for improving equipment performance.

AI: Partial - AI can control tests, collect and analyze data to investigate improvements, but physical setup, hands‑on adjustments, and on‑site troubleshooting remain semi‑manual tasks.

Test equipment, using test devices attached to generator, voltage regulator, or other electrical parts, such as generators or spark plugs.

AI: Partial - AI and automated test rigs can run standardized electrical tests, but as of 2025 they cannot reliably perform varied ad hoc manual hookups and tactile adjustments across diverse hardware.