capture program / 05 · manufacturing and assembly

AI training jobs for factory and assembly-line workers. $15 per accepted hour for the work only hands can do.

Assemblers, machine operators, machinists, packaging crews, and inspectors clip on a small camera for a regular shift and upload it afterward. eeko pays $15 for every hour a reviewer accepts, separate from your wages, and industrial robots learn the part of manufacturing that is still done by people: routing a harness, seating a connector, feeling a part go home.

$15 per accepted hour Plant signs once Drawings and screens blurred Restricted licence available
Hero image · 840 × 1050
per accepted hour
$15/hr
industrial rate, paid via Stripe
roles open
7+
assembly, machining, packaging, QC
site agreement
1
exclusions and licence terms set once
first hour
paid
whatever the reviewer decides

What is an AI training job for factory and assembly workers?

An AI training job for factory and assembly workers pays you to film your normal work on the line from your own point of view, so that the next generation of industrial robots can learn from people who already do the job well. Factories have had robots for fifty years, but the robots do the big, repeatable moves: welding, painting, pick-and-place. The two-handed, by-feel work in between still belongs to people, and there is almost no first-person footage of it anywhere.

eeko builds production AI systems for manufacturers and other regulated enterprises, and the robotics models our clients are training need data that does not exist publicly: consented, recorded by experienced operators, verifiable item by item, and licensed under terms the plant controls. Our data capture practice collects it, and this program is one of several on our get paid to train AI hub. The rate is $15 an hour because plant footage is harder to get than everyday footage and buyers pay for the difference.

Nothing about your shift changes. The company signs one agreement, you wear a camera, and a review team pays for the hours it can use.

What robots already do, and what they still cannot.

automated for decades
Big, rigid, repeatable

Spot welding a body shell, spraying a panel, moving a casting from a pallet to a fixture, tightening the same six bolts ten thousand times. If the part is stiff and arrives in the same place every cycle, a robot has been doing it since before you were hired.

  • Welding and painting Fixed paths, fixed parts
  • Pick-and-place Known geometry, known position
  • Palletizing Uniform cases, uniform stacks
still human
Flexible, by feel, two-handed

Routing a cable through a chassis, seating a connector until it clicks, laying a gasket flat, catching a defect by eye, clearing a jam without stopping the line. This is what your footage teaches, and why the program exists.

  • Cables, seals, and clips Floppy parts with no fixed shape
  • Torque by feel Knowing when a part is home
  • Inspection judgment Spotting the one that is wrong

Across the plant floor, cell by cell.

These are the roles robotics teams ask for by name. The plant decides which cells and lines are open to recording.

01 / assemblyMOST WANTED
Mechanical assembly
Fitting and fastening, torque sequences, sub-assemblies, snap fits, adhesives, gaskets, and seals.
02 / electronicsMOST WANTED
Electronics assembly
Board handling, connectors and harness routing, hand soldering and rework, final build and functional test.
03 / tendingCORE
Machine tending
Loading and unloading presses and molders, changeovers, clearing jams, adjusting settings and guards.
04 / machiningCORE
CNC and machining
Fixturing and setup, tool changes, offsets, in-process measurement, deburring and finishing.
05 / packagingCORE
Packaging lines
Feeding the line, cartoning, labeling, case packing, and building the outbound pallet.
06 / qualityCORE
Inspection and maintenance
Visual and gauge checks, sorting rejects, preventive maintenance, and the repairs that keep the line moving.

The plant stays in control of what leaves the building.

Manufacturing footage is only licensable if the company agreed, nothing proprietary is in it, and the terms suit the plant. All three are settled before any camera goes on.

One signed site agreement

The company signs before recording starts, and that signature covers every worker who opts in. We enroll the plant, not the person, so nobody has to ask a supervisor alone and the rules are set once for the whole site.

Exclusions and redaction

Product lines, cells, and customer programs can be ruled out entirely. Drawings, travelers, work instructions, HMI screens, and part labels caught in frame are blurred before delivery, along with every face.

Licence terms the plant approves

Footage goes to named buyers under a written licence, and a plant can require a restricted licence it approves buyer by buyer. Every clip carries its consent record and a signed provenance record; see our verified human data page.

Four steps, none of them on your own time.

STEP 01
Apply
Your role, the kind of plant, your city, how many hours you could record, and a few lines about a typical shift. A person replies within one business day.
STEP 02
Plant agreement
We approach the company, or you make the introduction, and agree exclusions, redaction, safety rules, and licence terms in writing.
STEP 03
Setup, then a normal shift
A short call to check your camera and mount. Then clip in, build as you always do, pause for breaks and excluded cells, and upload after clock-out.
STEP 04
Review and payout
A reviewer goes through the upload inside a few days and notes what passed. Accepted hours are credited at $15 and paid out through Stripe.

$15 per accepted hour, worked out on a real schedule.

Connector POV image · 1200 × 900
The click that tells you a connector is seated: easy to feel, impossible to learn from a diagram.

Accepted footage, not hours on the clock

  • The rate — $15 for each hour a reviewer accepts. Once the mount is right, expect 70 to 85 percent of what you send to pass.
  • A realistic week — ten hours recorded across your shifts, eight accepted, $120. Most of a 30-hour week at the same ratio is about $360.
  • Not a wage — your employer pays you as before. This is a licence fee for footage, under a short agreement with no exclusivity, no quota, and no minimum.
  • Stripe, itemized — accepted hours land in your balance and pay out automatically, with each upload listed and each rejection explained.
  • First hour guaranteed — your first genuine hour after onboarding is paid in full even if it does not pass, with a note on what to fix.
  • Your own camera — a phone or action camera on a fixed chest or hard-hat mount. We do not supply equipment; we check yours on the call.

The four things a reviewer looks for.

check 1
Real production work
Your hands, the part, the fixture, and the tool, from your own eye line. Breaks, line-down time, and meetings are paused out and do not count.
check 2
Followable on screen
In focus and lit by normal shop lighting, with the mount at the height we set on the call so the workpiece stays in frame.
check 3
Inside the agreement
The plant has signed, and the footage comes from a cell or line the plant opened up. Anything from an excluded area is discarded unpaid.
check 4
Not a repeat
Each stretch of work is paid one time. The same clip sent twice, or a single trivial motion looped for an hour, is sent back.

Apply to the manufacturing capture program.

Two minutes. If your plant has not signed yet, tell us whether you would like us to approach them. A person replies within one business day.

Free to join · no quota · a person replies within one business day
[ received ]

Received. A person will reply.

Someone on the eeko data team reads every application and replies within one business day with whether the manufacturing program fits your role and whether your plant is already enrolled. No recording happens before onboarding and the company's signature. You can also write to thomas@eeko.systems.

Factory and assembly AI training jobs, the usual questions.

How much do factory and assembly AI training jobs pay?

$15 per hour of footage that a reviewer accepts, paid separately from your plant wages. The figure to plan on is accepted hours: line stoppages, breaks, toolbox talks, and anything in an excluded cell are paused or discarded, and early uploads come back 15 to 30 percent short while people learn to keep the fixture in frame. Eight accepted hours in a week is $120; most of a 30-hour week at the same ratio is close to $360. There is no cap, no minimum, and the rate is set down in writing before you start.

Does the plant have to agree before I can record?

Always. A manufacturing site is private, often under customer non-disclosure terms, so the company signs a written agreement before any camera is worn. eeko enrolls the site rather than the individual: the whole line can take part, nobody has to go to a supervisor alone, and the plant sets the rules once. If you would rather we made the first approach to your employer, say so in the form. Footage from a plant that has not signed is neither reviewed nor paid.

What about proprietary products, drawings, and processes?

The plant decides, in writing, before recording starts. Whole product lines, cells, or customer programs can be excluded outright. Drawings, travelers, work instructions, HMI screens, and part labels that appear in frame are blurred before delivery. Where a company wants tighter control, footage can be released under a restricted licence that the plant approves buyer by buyer. AI teams are paying for how hands fit, fasten, route, and check, not for what the product is.

Is this employment, and does it affect my current job?

It is not employment and it does not change your job. Your employer pays you as before; eeko pays a separate licence fee for the footage, by the accepted hour, under a short participation agreement with no exclusivity, no quota, and no schedule. Record one shift a month or every shift, and stop when you want. Unrecorded hours and rejected uploads are not paid, except the first hour after onboarding, which is paid whatever the result.

What camera and mount work on a production line?

Your own phone or action camera on a chest mount or a hard-hat mount, fixed, with nothing loose that could catch in a machine. Your site's PPE and lockout rules always come before recording; a cell the safety officer rules out is simply not filmed. We do not supply equipment, but we check what you have on the onboarding call and show you the position that keeps the fixture and both hands in frame under shop lighting.

Which manufacturing roles and plants are you taking?

Assembly line, electronics assembly, machine operator, CNC and machining, packaging line, quality inspection, and maintenance tech, at any plant in the United States. Welders, press operators, and composite layup crews should apply too; roles are added as robotics teams request them and we will tell you honestly if yours cannot be placed yet. Warehouse and distribution work has its own program, as do mechanics and the skilled trades.

Who gets the footage from the line, and how is it tracked?

Approved robotics and AI organizations under a written licence with eeko, who use it to train and test industrial systems for assembly, machine tending, and inspection. Before delivery, people, screens, labels, and drawings are blurred; every clip carries its consent record, a cryptographic fingerprint, an independent timestamp, and a signed provenance record; and the plant receives a signed receipt listing every item delivered. Nothing is published openly or resold. Details are on our verified human data page.

Run a plant? Put a whole line on the program.

Sites join under one agreement. Your team sets exclusions, redaction rules, and licence terms with us before anything is filmed, every worker is paid for their own accepted hours, and you receive a signed delivery receipt listing each item that left the building. Mention the plant in the form, or ask for a call with our data team.

CNC setup POV image · 800 × 1000
Machining — dialing in a part before the first cut, from the machinist's own eye line.
Soldering POV image · 800 × 1000
Electronics — a rework joint under a bench lamp, the kind of fine motor work robots are learning now.
Inspection POV image · 800 × 1000
Inspection — calipers on a part; the drawing beside it is blurred before delivery.

Experienced within

  • SOC 2 Type II
  • ISO 27001
  • HIPAA
  • HITRUST r2
  • ISO 27701
  • PCI DSS
  • NIST CSF 2.0
  • CMMC
  • FedRAMP
  • GDPR

Markets served.

As an enterprise AI agency, eeko systems delivers production AI systems remote-first across the United States and internationally — including these markets:

New York City, New York (NY)

Los Angeles, California (CA)

Chicago, Illinois (IL)

Houston, Texas (TX)

Phoenix, Arizona (AZ)

Philadelphia, Pennsylvania (PA)

San Antonio, Texas (TX)

San Diego, California (CA)

Dallas, Texas (TX)

San Jose, California (CA)

Austin, Texas (TX)

Jacksonville, Florida (FL)

Fort Worth, Texas (TX)

Columbus, Ohio (OH)

Charlotte, North Carolina (NC)

Indianapolis, Indiana (IN)

San Francisco, California (CA)

Seattle, Washington (WA)

Denver, Colorado (CO)

Washington, District of Columbia (DC)

Boston, Massachusetts (MA)

El Paso, Texas (TX)

Nashville, Tennessee (TN)

Detroit, Michigan (MI)

Oklahoma City, Oklahoma (OK)

Portland, Oregon (OR)

Las Vegas, Nevada (NV)

Memphis, Tennessee (TN)

Louisville, Kentucky (KY)

Baltimore, Maryland (MD)

Milwaukee, Wisconsin (WI)

Albuquerque, New Mexico (NM)

Tucson, Arizona (AZ)

Fresno, California (CA)

Sacramento, California (CA)

Kansas City, Missouri (MO)

Atlanta, Georgia (GA)

Miami, Florida (FL)

Colorado Springs, Colorado (CO)

Raleigh, North Carolina (NC)

Omaha, Nebraska (NE)

Long Beach, California (CA)

Virginia Beach, Virginia (VA)

Oakland, California (CA)

Minneapolis, Minnesota (MN)

Tulsa, Oklahoma (OK)

Arlington, Texas (TX)

New Orleans, Louisiana (LA)

Wichita, Kansas (KS)

Cleveland, Ohio (OH)

Tampa, Florida (FL)

Bakersfield, California (CA)

Aurora, Colorado (CO)

Honolulu, Hawaii (HI)

Anaheim, California (CA)

Santa Ana, California (CA)

Corpus Christi, Texas (TX)

Riverside, California (CA)

Lexington, Kentucky (KY)

St. Louis, Missouri (MO)

Stockton, California (CA)

Pittsburgh, Pennsylvania (PA)

Saint Paul, Minnesota (MN)

Cincinnati, Ohio (OH)

Greensboro, North Carolina (NC)

Anchorage, Alaska (AK)

Plano, Texas (TX)

Lincoln, Nebraska (NE)

Orlando, Florida (FL)

Irvine, California (CA)

Newark, New Jersey (NJ)

Toledo, Ohio (OH)

Durham, North Carolina (NC)

Chula Vista, California (CA)

Fort Wayne, Indiana (IN)

Jersey City, New Jersey (NJ)

St. Petersburg, Florida (FL)

Laredo, Texas (TX)

Madison, Wisconsin (WI)

Chandler, Arizona (AZ)

Buffalo, New York (NY)

Lubbock, Texas (TX)

Scottsdale, Arizona (AZ)

Reno, Nevada (NV)

Glendale, Arizona (AZ)

Gilbert, Arizona (AZ)

Winston-Salem, North Carolina (NC)

North Las Vegas, Nevada (NV)

Norfolk, Virginia (VA)

Chesapeake, Virginia (VA)

Fremont, California (CA)

Garland, Texas (TX)

Richmond, Virginia (VA)

Baton Rouge, Louisiana (LA)

Boise, Idaho (ID)

San Bernardino, California (CA)

Spokane, Washington (WA)

Des Moines, Iowa (IA)

Modesto, California (CA)

Birmingham, Alabama (AL)

Tacoma, Washington (WA)

Fontana, California (CA)

Oxnard, California (CA)

Fayetteville, North Carolina (NC)

Huntsville, Alabama (AL)

Moreno Valley, California (CA)

Rochester, New York (NY)

Glendale, California (CA)

Yonkers, New York (NY)

Augusta, Georgia (GA)

Amarillo, Texas (TX)

Little Rock, Arkansas (AR)

Akron, Ohio (OH)

Shreveport, Louisiana (LA)

Grand Rapids, Michigan (MI)

Mobile, Alabama (AL)

Salt Lake City, Utah (UT)

Huntsville, Texas (TX)

Tallahassee, Florida (FL)

Overland Park, Kansas (KS)

Knoxville, Tennessee (TN)

Worcester, Massachusetts (MA)

Brownsville, Texas (TX)

New Port Richey, Florida (FL)

Jackson, Mississippi (MS)

Providence, Rhode Island (RI)

Fort Lauderdale, Florida (FL)

Sioux Falls, South Dakota (SD)

Tempe, Arizona (AZ)

Cape Coral, Florida (FL)

Springfield, Missouri (MO)

Pembroke Pines, Florida (FL)

Eugene, Oregon (OR)

Peoria, Arizona (AZ)

Corona, California (CA)

Lancaster, California (CA)

Rockford, Illinois (IL)

Salinas, California (CA)

Palmdale, California (CA)

Springfield, Massachusetts (MA)

Charleston, South Carolina (SC)

Duluth, Minnesota (MN)

London, England (ENG)

Dublin, Ireland (IRE)