Operate or tend sewing machines to join, reinforce, decorate, or perform related sewing operations in the manufacture of garment or nongarment products.
U.S. Workers
109,590
Median Salary
$36,000
10-Year Growth
-10.8%
Annual Openings
13,000
Typical entry: No formal educational credential
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.
Monitor machine operation to detect problems such as defective stitching, breaks in thread, or machine malfunctions.
AI: Fully automatable - AI-driven sensors and computer vision are already effective at real-time monitoring for defective stitching, thread breaks, and many machine malfunctions and can trigger alerts or stops autonomously.
Cut materials according to specifications, using blades, scissors, or electric knives.
AI: Fully automatable - Cutting materials to specification is widely automated by CNC/robotic cutting and laser systems that handle pattern accuracy and throughput in industrial settings.
Remove holding devices and finished items from machines.
AI: Fully automatable - Removing holding devices and finished items is a straightforward pick-and-place task that robotic systems can perform reliably.
Match cloth pieces in correct sequences prior to sewing them, and verify that dye lots and patterns match.
AI: Fully automatable - Computer vision and automated sorting can match pieces, dye lots, and patterns and sequence them correctly in modern production lines.
Cut excess material or thread from finished products.
AI: Fully automatable - Automated trimmers and cutters already remove excess material and thread reliably in many manufacturing environments.
Examine and measure finished articles to verify conformance to standards, using rulers.
AI: Fully automatable - Machine vision and automated measuring systems can examine and measure finished articles to verify conformance to standards.
Record quantities of materials processed.
AI: Fully automatable - Recording quantities processed is easily automated via sensors, counters, and integrated software systems.
Turn knobs, screws, and dials to adjust settings of machines, according to garment styles and equipment performance.
AI: Fully automatable - Turning knobs, screws and dials are standardized, low‑dexterity manipulations that can be fully automated with actuators or robotic end‑effectors and existing control interfaces.
Attach buttons, hooks, zippers, fasteners, or other accessories to fabric, using feeding hoppers or clamp holders.
AI: Fully automatable - Attaching buttons, zippers and many fasteners is commonly fully automated with specialized feeding hoppers and clamp‑based machines in production lines.
Position and mark patterns on materials to prepare for sewing.
AI: Fully automatable - Pattern positioning and marking are widely automated through CAD/CAM, computer vision, and automated plotters/cutting tables in industry.
Perform specialized or automatic sewing machine functions, such as buttonhole making or tacking.
AI: Fully automatable - Specialized sewing operations like buttonholes and tacking are routinely executed by dedicated automatic machines and are fully automatable in production.
Place spools of thread, cord, or other materials on spindles, insert bobbins, and thread ends through machine guides and components.
AI: Partial - Automatic threaders and bobbin-loading mechanisms exist for many machines, but the wide variety of setups and delicate manual threading tasks mean full automation is not universally reliable yet.
Position items under needles, using marks on machines, clamps, templates, or cloth as guides.
AI: Partial - AI/robotics can position items reliably in controlled, fixture-guided setups but struggle with high variability and fully freeform fabric handling.
Guide garments or garment parts under machine needles and presser feet to sew parts together.
AI: Partial - Automated sewing systems can guide simple, repeatable parts but humans are typically needed for complex shapes or variable garments.
Fold or stretch edges or lengths of items while sewing to facilitate forming specified sections.
AI: Partial - Folding or stretching fabric during sewing requires adaptive, fine-grained manipulation that current automation handles only in constrained operations.
Select supplies such as fasteners and thread, according to job requirements.
AI: Partial - Selection can be automated from explicit bills of materials and inventory systems, but exceptions and judgment calls still typically require humans.
Start and operate or tend machines, such as single or double needle serging and flat-bed felling machines, to automatically join, reinforce, or decorate material or articles.
AI: Partial - Starting and tending standardized machines can be automated to an extent, but setup, changeovers, and troubleshooting usually need human intervention.
Inspect garments, and examine repair tags and markings on garments to locate defects or damage, and mark errors as necessary.
AI: Partial - Computer vision systems can detect many defects and markings, yet inspection across all garment types and the physical marking/tagging of errors remain only partially automated and often need human review.
Attach tape, trim, appliques, or elastic to specified garments or garment parts, according to item specifications.
AI: Partial - Attaching tape, trim or elastic is partly automatable with dedicated machines for common operations, but variability in garments and appliques still requires human adjustment and intervention.
Repair or alter items by adding replacement parts or missing stitches.
AI: Partial - Repairs and alterations involve high variability and delicate work on deformable textiles, so AI/robots can handle routine or repeatable repairs but not the full range of bespoke alterations.
Position material or articles in clamps, templates, or hoop frames prior to automatic operation of machines.
AI: Partial - Positioning flexible materials into clamps or hoops is partially automatable with fixtures and robotic loaders for repeatable tasks, but variability and delicate handling still require human work in many cases.
Perform equipment maintenance tasks such as replacing needles, sanding rough areas of needles, or cleaning and oiling sewing machines.
AI: Partial - Routine maintenance steps like needle replacement and cleaning can be automated in many contexts, but full, general maintenance (fine sanding, troubleshooting) still typically needs human technicians.
Draw markings or pin appliques on fabric to obtain variations in design.
AI: Partial - Drawing markings can be fully automated (printers/plotters), but pinning appliques and creating design variations on deformable fabric remain only partially automatable and often need manual adjustment.
Tape or twist together thread or cord to repair breaks.
AI: Partial - Splicing threads or cords requires fine, variable manual dexterity and ad hoc judgement so machines can assist or partially automate but not reliably replace humans in all settings as of 2025.
Baste edges of material to align and temporarily secure parts for final assembly.
AI: Partial - Basting can be performed by programmed sewing equipment in controlled production contexts, but variable fabrics and ad hoc alignment still often require human handling.
Mount attachments, such as needles, cutting blades, or pattern plates, and adjust machine guides according to specifications.
AI: Partial - Mounting attachments and adjusting guides can be automated for standard, repeatable setups but requires human supervision or custom fixturing for variable or ad‑hoc configurations.