Fabricate and repair jewelry articles. Make models or molds to create jewelry items.
U.S. Workers
23,420
Median Salary
$49,140
10-Year Growth
-5.5%
Annual Openings
4,000
Typical entry: High school diploma or equivalent
40 of 40 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.
Clean and polish metal items and jewelry pieces, using jewelers' tools, polishing wheels, and chemical baths.
AI: Fully automatable - Routine cleaning and polishing are readily handled by ultrasonic baths, tumblers, and automated/pneumatic polishing systems, enabling full automation for many items.
Compute costs of labor and materials in order to determine production costs of products and articles.
AI: Fully automatable - Computing labor and materials costs is a rule-based arithmetic and estimation task that AI systems can fully perform given the necessary inputs and parameters.
Mark and drill holes in jewelry mountings in order to center stones according to design specifications.
AI: Fully automatable - Precise marking and drilling to center stones can be fully automated using CNC/micro-drilling and computer-vision alignment systems in modern workshops.
Examine assembled or finished products to ensure conformance to specifications, using magnifying glasses or precision measuring instruments.
AI: Fully automatable - High-resolution imaging and precision metrology combined with AI inspection algorithms can fully verify finished pieces against specifications.
Construct preliminary models of wax, metal, clay, or plaster, and form sample castings in molds.
AI: Fully automatable - CAD generation plus 3D printing (wax/resin) and automated lost-wax casting workflows allow AI-driven creation of preliminary models and sample castings.
Pour molten metal alloys or other materials into molds in order to cast models of jewelry.
AI: Fully automatable - Robotic and automated casting systems under AI process control can reliably pour molten alloys into molds for jewelry-scale production.
Determine appraised values of diamonds and other gemstones based on price guides, market fluctuations, and stone grades and rarity.
AI: Fully automatable - AI systems can combine stone grading data, price guides, and market signals to produce reliable appraisals of diamonds and gemstones.
Grade stones based on their color, perfection, and quality of cut.
AI: Fully automatable - Machine vision, spectroscopy, and trained models can assess color, clarity, and cut quality to perform stone grading at or near human levels.
Plate articles such as jewelry pieces and watch dials, using silver, gold, nickel, or other metals.
AI: Fully automatable - Electroplating is a well-established, automatable process with robotic handling and AI process control to achieve consistent results.
Write or modify design specifications such as the metal contents and weights of items.
AI: Fully automatable - AI tools can generate and modify design specifications, calculate metal contents and weights, and produce precise specification documents.
Create new jewelry designs and modify existing designs, using computers as necessary.
AI: Fully automatable - AI-driven CAD and generative-design tools can create and modify jewelry designs and output manufacturable files, enabling full automation of the design step.
Record the weights and processing times of finished pieces.
AI: Fully automatable - Recording weights and processing times is routine data capture that can be fully automated via digital scales, sensors, and shop-management software.
Lay out designs on metal stock, and cut along markings to fabricate pieces used to cast metal molds.
AI: Fully automatable - CNC, laser, and robotic cutting driven by CAD/CAM workflows can lay out and cut metal stock to produce cast pieces, enabling full automation of this task.
Mark, engrave, or emboss designs on metal pieces such as castings, wire, or jewelry, following specifications.
AI: Fully automatable - Computer-controlled engraving and embossing equipment can follow specifications precisely, allowing full automation of marking, engraving, and embossing.
Cut designs in molds or other materials to be used as models in the fabrication of metal and jewelry products.
AI: Fully automatable - CNC milling and additive manufacturing can cut or produce models and molds from digital designs, making this process fully automatable.
Design and fabricate molds, models, and machine accessories, and modify hand tools used to cast metal and jewelry pieces.
AI: Fully automatable - AI-assisted CAD plus digital fabrication (CNC, 3D printing) can design and produce most molds, models, and machine accessories end-to-end, enabling broad automation of these tasks.
Melt and roll out metal into sheets or bars, and stamp out jewelry such as gold and silver chains, using presses or dies.
AI: Fully automatable - Melting, rolling, and stamping are mature industrial processes with well‑established automated mills and press lines that can perform these tasks end‑to‑end.
Rotate molds in order to distribute molten material and prevent formation of air pockets.
AI: Fully automatable - Centrifugal and rotary investment casting systems already automate mold rotation precisely to distribute metal and reduce air pockets.
Smooth soldered joints and rough spots, using hand files and emery paper, and polish smoothed areas with polishing wheels or buffing wire.
AI: Partial - Automated polishing equipment exists for some repetitive tasks, but fine manual finishing and tactile judgment for bespoke jewelry smoothing remain largely manual as of 2025.
Position stones and metal pieces, and set, mount, and secure items in place, using setting and hand tools.
AI: Partial - Robots and vision systems can assist with positioning and setting in controlled, repeatable contexts, but precise stone-setting and subtle tactile/aesthetic decisions are still primarily done by skilled humans.
Create jewelry from materials such as gold, silver, platinum, and precious or semiprecious stones.
AI: Partial - Casting, CNC and 3D printing can automate many production steps, yet full jewelry creation—especially artisanal design choices and hand finishing—remains only partially automatable.
Make repairs, such as enlarging or reducing ring sizes, soldering pieces of jewelry together, and replacing broken clasps and mountings.
AI: Partial - Some repair operations can be mechanized, but the variability and delicate custom work involved in many jewelry repairs necessitate human hands and judgment.
Select and acquire metals and gems for designs.
AI: Partial - AI can recommend sources, compare prices, and execute procurement, but final material and gem selection often requires human aesthetic judgment and hands-on inspection.
Weigh, mix, and melt metal alloys or materials needed for jewelry models.
AI: Partial - Automated furnaces and dosing systems can weigh, mix, and melt alloys, but small-scale jewelry batches, alloy adjustments, and safety/quality judgment still usually require human supervision.
Cut, shape, and smooth gemstones, pearls, and metal pieces, using abrasives, grinding stones, and power and hand tools.
AI: Partial - Automated faceting and CNC grinding can handle many cutting and shaping tasks, but fine-texture finishing and artisanal judgment still require human skill.
Soften metal to be used in designs by heating it with a gas torch and shape it, using hammers and dies.
AI: Partial - Some heating and forming operations can be automated with machines, but torch work and hand-hammer shaping for bespoke pieces remain largely manual.
Remove mold castings from metal or jewelry workpieces, and place workpieces in water or on trays to cool.
AI: Partial - Robotic handlers and conveyors can extract castings and place parts into cooling baths, but delicate pieces, variability, and inspection needs mean humans remain involved.
Alter existing jewelry mountings in order to reposition jewels or to adjust mountings.
AI: Partial - Adjusting mountings and repositioning stones involves delicate manual manipulation and judgment that current automation only partially replicates.
Examine gemstone surfaces and internal structures to evaluate genuineness, quality, and value, using polariscopes, refractometers, and other optical instruments.
AI: Partial - AI can analyze images and instrument data (polariscopes, refractometers, spectra) to flag treatments and estimate quality, but physical handling, diverse tests, and nuanced gemological judgments still require human expertise.
Buy and sell jewelry, or serve as agents between buyers and sellers.
AI: Partial - AI can automate listings, pricing, valuation, and negotiation assistance, but brokering, trust-building, legal clearance, and final transaction responsibilities still need human oversight.
Place metal samples in frames, pack raw rubber around samples, and clamp samples, frames, and rubber into vulcanizing machines.
AI: Partial - Fixture-based automation and lab robots can load samples and operate vulcanizing presses, but bespoke fixturing and variable rubber packing for small runs typically require manual setup.
Fabricate, modify, or repair jigs, fixtures, and hand tools such as scrapers, cutters, gougers, and shapers.
AI: Partial - AI can design jigs and generate fabrication plans, but the bespoke fabrication, fine adjustment, and repair of hand tools and fixtures often require manual skill and judgment.
Assemble and secure mold sections used to cast metal articles and pieces.
AI: Partial - Clamping and alignment can be mechanized for repeatable molds, yet custom or fine‑tolerance mold assembly for jewelry generally still needs skilled human adjustment and inspection.
Research and analyze reference materials, and consult with interested parties in order to develop new products or modify existing designs.
AI: Partial - AI can perform comprehensive research and analysis and draft product proposals, but genuine stakeholder consultation, contextual negotiation, and iterative human feedback limit full automation.
Build sand molds in flasks, following patterns and heat flasks to dry and harden molds, using furnaces or torches.
AI: Partial - Automated molding and heating exist in larger foundries, but building and drying small, high‑precision sand molds for jewelry often remains a manual, artisanal process.
Immerse gemstones in chemical solutions to determine specific gravity and other key properties necessary for identification and appraisal.
AI: Partial - Laboratory automation can perform immersion tests and measure specific gravity, but handling valuable gemstones and interpreting nuanced identification/appraisal results still require expert human judgment.
Remove molds from cast articles, clean them, and apply shellac and powder to preserve them for reuse.
AI: Partial - Tumbling and chemical cleaning can be automated and coatings applied by machines, but careful demolding, selective cleaning, and reuse preparation for delicate jewelry molds usually need human oversight.
Burn grooves or crevices in molds in order to correct defects, using soldering guns.
AI: Partial - Robotic soldering and automated heating can correct predictable defects, but the irregular, fine manual repairs in small molds are typically performed by skilled technicians.
Press models into clay, and build up clay around exposed parts of models to retain plaster.
AI: Partial - Robotic manipulators and vision-guided systems can perform repetitive clay pressing and shaping in controlled setups, but fine tactile adjustments and variability of individual models still limit full automation in 2025.
Chase decorative designs on silver blanks that are to be used as models for steel production dies.
AI: Partial - CNC/laser engraving can replicate decorative designs, but traditional hand chasing requires nuanced haptic feedback and artisan judgment that are not fully replaced by AI-driven machines yet.