Set up, operate, or tend heating equipment, such as heat-treating furnaces, flame-hardening machines, induction machines, soaking pits, or vacuum equipment to temper, harden, anneal, or heat-treat metal or plastic objects.
U.S. Workers
14,590
Median Salary
$47,450
10-Year Growth
-12.8%
Annual Openings
1,200
Typical entry: High school diploma or equivalent
26 of 26 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.
Read production schedules and work orders to determine processing sequences, furnace temperatures, and heat cycle requirements for objects to be heat-treated.
AI: Fully automatable - AI can fully read and interpret production schedules and work orders to determine processing sequences, furnace temperatures, and heat cycles using rule‑based logic and scheduling algorithms.
Determine flame temperatures, current frequencies, heating cycles, and induction heating coils needed, based on degree of hardness required and properties of stock to be treated.
AI: Fully automatable - Calculating flame temperatures, frequencies, heating cycles and coil parameters from material specs is a parameter-selection and optimization task that AI and control systems can perform fully.
Record times that parts are removed from furnaces to document that objects have attained specified temperatures for specified times.
AI: Fully automatable - AI can fully record removal times and verify temperature/time attainment using sensor logs, PLC timestamps, or computer vision systems for automated documentation.
Determine types and temperatures of baths and quenching media needed to attain specified part hardness, toughness, and ductility, using heat-treating charts and knowledge of methods, equipment, and metals.
AI: Fully automatable - Choosing bath types and quench temperatures from heat-treat charts and material properties is a rules-and-models task that AI can fully automate to meet specified mechanical properties.
Examine parts to ensure metal shades and colors conform to specifications, using knowledge of metal heat-treating.
AI: Fully automatable - Computer-vision systems combined with material-specific models can reliably examine color and surface appearance to verify conformity with heat-treat specifications, enabling full automation of inspection.
Adjust controls to maintain temperatures and heating times, using thermal instruments and charts, dials and gauges of furnaces, and color of stock in furnaces to make setting determinations.
AI: Fully automatable - AI systems integrated with thermal sensors, actuators, control logic and vision can monitor instruments, adjust temperatures and times, and infer color cues to maintain heat-treating conditions.
Set and adjust speeds of reels and conveyors for prescribed time cycles to pass parts through continuous furnaces.
AI: Fully automatable - Controlling and adjusting conveyor/reel speeds is routinely handled by PLCs and closed‑loop control systems with AI/algorithms for timing/throughput, so it can be fully automated.
Test parts for hardness, using hardness testing equipment, or by examining and feeling samples.
AI: Fully automatable - Hardness testing with instruments is readily automated and can replace manual examination, with AI handling data collection and pass/fail decisions.
Move controls to light gas burners and to adjust gas and water flow and flame temperature.
AI: Fully automatable - Ignition systems, flow control and flame-temperature regulation are commonly automated with safety interlocks and control algorithms that AI can manage fully.
Signal forklift operators to deposit or extract containers of parts into and from furnaces and quenching rinse tanks.
AI: Fully automatable - Signaling or coordinating material handling can be fully automated via warehouse management/SCADA systems, digital alerts, or integration with AGVs/fleet management.
Reduce heat when processing is complete to allow parts to cool in furnaces or machinery.
AI: Fully automatable - Reducing furnace heat and initiating cool‑down sequences are standard automated control functions handled by controllers and supervisory software.
Heat billets, bars, plates, rods, and other stock to specified temperatures preparatory to forging, rolling, or processing, using oil, gas, or electrical furnaces.
AI: Fully automatable - Bringing stock to specified temperatures is a control/monitoring task that modern furnace systems and process control software can fully automate.
Clean oxides and scales from parts or fittings, using steam sprays or chemical and water baths.
AI: Fully automatable - Parts cleaning with steam, chemical and water baths is a well‑established industrial process that can be fully automated and controlled by AI/PLC systems and robotic part handlers.
Stamp heat-treatment identification marks on parts, using hammers and punches.
AI: Fully automatable - Applying identification marks with hammers/punches is a simple, repeatable operation that can be fully automated with stamping/punching equipment and robot feeders under AI/automation control.
Position parts in plastic bags, and seal bags with irons.
AI: Fully automatable - Bagging and heat‑sealing parts is a routine packaging task already handled by automated machines and robotic systems that AI can control end‑to‑end.
Set up and operate die-quenching machines to prevent parts from warping.
AI: Partial - Operating die-quenching machines can be automated, but setup and fine adjustments to prevent warping typically rely on human expertise and manual adjustment, so only partial automation is common.
Start conveyors and open furnace doors to load stock, or signal crane operators to uncover soaking pits and lower ingots into them.
AI: Partial - Starting conveyors and signaling cranes are readily automatable but physically loading/unloading and opening furnace doors often still require human operators or specialized robotics, so only partial automation is typical by 2025.
Set up and operate or tend machines, such as furnaces, baths, flame-hardening machines, and electronic induction machines, that harden, anneal, and heat-treat metal.
AI: Partial - Automated controllers can run furnaces, baths and induction machines, but setup, ad-hoc tending and troubleshooting still often require human intervention and judgment.
Load parts into containers and place containers on conveyors to be inserted into furnaces, or insert parts into furnaces.
AI: Partial - Robotic loaders can perform many part‑loading tasks, but variability, extreme heat and fixturing requirements mean full automation is only partial in general as of 2025.
Remove parts from furnaces after specified times, and air dry or cool parts in water, oil brine, or other baths.
AI: Partial - Robotic handling and automated quench lines can remove and cool parts in controlled environments, but variability, safety and many shop-floor contexts make this only partially automated in practice.
Place completed workpieces on conveyors, using cold rods, tongs, or chain hoists, or signal crane operators to transport them to subsequent stations.
AI: Partial - Robots and conveyors can place workpieces in many standardized setups, but diverse geometries and reliance on human crane/forklift coordination keep this only partially automatable broadly.
Mount workpieces in fixtures, on arbors, or between centers of machines.
AI: Partial - Automated fixturing exists for repetitive, standardized parts, but mounting varied workpieces between centers still often requires human dexterity and judgment.
Mount fixtures and industrial coils on machines, using hand tools.
AI: Partial - Mounting heavy fixtures and coils with hand tools is sometimes automated, but many setups require manual intervention due to complexity, weight and variability.
Position stock in furnaces, using tongs, chain hoists, or pry bars.
AI: Partial - Positioning stock inside furnaces involves heavy, hot, and variable items where robotics can help but broad, reliable full automation remains partial in 2025.
Instruct new workers in machine operation.
AI: Partial - AI can deliver training content, simulations and AR-guided instructions, but hands-on mentorship and adapting to novel trainee mistakes means instruction remains partly human-led.
Repair, replace, and maintain furnace equipment as needed, using hand tools.
AI: Partial - AI can provide diagnostics, step‑by‑step instructions and remote guidance but cannot generally perform the hands‑on tool work of repairing and maintaining furnaces autonomously in most real‑world settings by 2025.