capture program / 04 · warehouse and logistics

AI training jobs for warehouse workers. $15 per accepted hour to record the shift you already work.

Pickers, packers, lift-truck operators, loaders, receiving clerks, and sorters wear a small camera on a normal shift and upload the footage. eeko pays $15 for every hour that passes review, separate from your wages, and the footage shows warehouse robots the parts of the job they still cannot do: the jumbled bin, the crushed carton, the pallet that has to survive a truck ride.

$15 per accepted hour Facility signs once Labels and screens blurred Your site's safety rules first
Hero image · 840 × 1050
per accepted hour
$15/hr
industrial rate, paid via Stripe
roles open
7+
pick, pack, lift, load, receive, sort
agreements per facility
1
covers every worker on site
first hour
paid
pass or fail, after onboarding

What is an AI training job for warehouse workers?

An AI training job for warehouse workers pays you to record your regular shift from a camera on your chest or hard hat, so that the robots being built for warehouses can learn from someone who does the job for real. Automated systems are already good at moving a tote from one end of an aisle to the other. They are still poor at what happens at either end: reaching into a bin where every item is a different shape, deciding a box is too damaged to ship, or stacking a mixed pallet so it does not lean.

eeko builds production AI systems for enterprises, including logistics and manufacturing clients, and the robotics models behind the next wave of automation need footage that nobody has published: consented, recorded by experienced workers, and verifiable clip by clip. Our data capture practice gathers it, and this warehouse program is one of the paid programs on our get paid to train AI hub. The rate is $15 because industrial footage is harder to obtain than everyday footage and buyers pay accordingly.

Nothing about your shift changes. The facility signs one agreement, you clip on a camera, and the review team pays for the hours they can use.

Application to payout, four steps.

Recording starts only once you are onboarded and the facility operator has signed. Everything else is your normal shift.

STEP 01
Apply
Your role, your city, roughly how many hours you could record, and a few lines on a typical shift. A person reads it and replies within one business day.
STEP 02
Facility agreement
We approach the operator, or you introduce us, and agree exclusion zones, label redaction, and safety rules in writing before any camera goes on.
STEP 03
Setup and record
A short call to check your camera and mount, then a normal shift: clip in, work, pause for breaks and no-go zones, upload after clock-out.
STEP 04
Review and pay
A reviewer goes through each upload inside a few days and sends a note on what passed. Accepted hours are credited at $15 and paid out through Stripe.

From inbound dock to outbound truck, every station counts.

Each of these is routine for you and unsolved for a robot. That gap is what the $15 pays for.

01 / pickMOST WANTED
Picking
Each picks and case picks from shelving, bins, and flow racks, scanning as you go, handling the awkward, soft, or mixed items the system never pictured.
02 / packMOST WANTED
Packing
Choosing the right carton, void fill and wrap, taping, labeling, bagging, and kitting multi-item orders without crushing anything.
03 / palletCORE
Pallet building
Stacking mixed loads so they hold, stretch-wrapping, breaking pallets down, and restacking what arrives leaning.
04 / dockCORE
Docks and trailers
Unloading floor-loaded trailers and containers by hand, staging outbound freight, and loading trucks tight and square.
05 / liftSEAT-MOUNTED
Lift trucks
Counterbalance, reach-truck, and pallet-jack work, putaway, and replenishment, filmed from a fixed seat mount at the operator's eye line.
06 / receiveCORE
Receiving and returns
Checking deliveries against the paperwork, counting, inspecting for damage, and processing returned goods back into stock.

The site's rules come first. The camera comes second.

Mount and PPE image · 1200 × 900
A fixed chest mount over hi-vis, nothing dangling. If your site's safety officer says no to a zone, that zone is not recorded.

How a facility joins, and what it controls

  • One written agreement — signed by the operator before any recording. We make the approach if you prefer not to.
  • Exclusion zones — the facility marks aisles, client accounts, product lines, or equipment as off limits. Nothing filmed there is used.
  • Redaction rules — shipping labels, names, addresses, scanner screens, and anyone's face are blurred before delivery.
  • Safety precedence — hard-hat or chest mount only, no cables, and your site's PPE and traffic rules override recording every time.
  • Pause anytime — breaks, a toolbox talk, a near-miss debrief, a conversation. Unrecorded minutes are simply not counted.

Footage goes only to named buyers under licence, with the consent record attached to every clip. The checks are described on our verified human data page.

What passes review and what gets sent back.

accepted
Real work, visible, consented, new

A reviewer can see your hands, the item, and the rack or carton from your own eye line. The frame is in focus and lit by the building's normal lighting. The facility's agreement is on file. You have not sent this stretch of footage before.

  • Point of view Camera looks where you look
  • Steady Fixed mount, not handheld
  • Covered Site agreement matches the footage
  • Fresh Each stretch of work paid once
sent back
Travel, idle time, blocked zones, repeats

Walking between zones, waiting on a dock door, breaks, and meetings are not training data. Footage from an excluded zone is discarded. A looped recording of the same simple task, or the same clip uploaded twice, does not pass. Every rejection comes with a one-line reason.

  • Travel Pause while moving between stations
  • Blocked Exclusion-zone footage is deleted
  • Unclear Lens fogged, blocked, or pointed at the ceiling
  • Duplicate Same work, second upload

$15 per accepted hour, in plain numbers.

A realistic week

Record ten hours across your shifts, have eight accepted, earn $120. Record most of a 30-hour week with the same ratio and it is about $360. Acceptance rates for warehouse workers usually settle between 70 and 85 percent after the first couple of uploads.

Separate from your paycheck

Your employer pays you exactly as before. eeko pays a licence fee for the footage, by the accepted hour, under a short participation agreement with no exclusivity, no quota, and no minimum. Not a wage, and not a replacement for one.

Stripe payouts, itemized

Accepted hours go to your balance and pay out automatically through Stripe. Every upload is listed with what passed, what did not, and why. Your first hour after onboarding is paid in full whatever the reviewer decides.

Pallet wrap POV image · 2100 × 900
A mixed pallet that will not lean: judgment a robot can only learn by watching someone who has built thousands.

Apply to the warehouse capture program.

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

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

Application received.

A person on the eeko data team will read it and reply within one business day with whether the warehouse program fits your role and whether your facility is already enrolled. Recording never starts before onboarding and the site's signature. Direct line: thomas@eeko.systems.

Warehouse AI training jobs, question by question.

How much do warehouse AI training jobs pay?

$15 for each hour of footage that clears review, added to your normal warehouse pay. Think in accepted hours rather than shift hours: breaks, meetings, and walking between zones are paused out, and reviewers decline roughly 15 to 30 percent of early uploads while people learn where the camera needs to point. Eight accepted hours in a week is $120. A full-time picker recording most of a 30-hour stretch at the same acceptance rate is around $360. No cap, no minimum, and the $15 rate is confirmed in writing before you record.

Does my employer have to approve recording in the warehouse?

Yes. A warehouse is private property, so the operator signs a written agreement before any camera is switched on. In practice eeko enrolls the facility, not the individual, so you are never the one raising it with a supervisor and every worker on the shift can take part. If you would like us to contact your employer for you, tick that in your application and we will make the approach. Footage from a site that has not signed is not accepted or paid.

What happens to customer labels and inventory in the footage?

Shipping labels, customer names, addresses, barcodes that identify a shipper, and any screen or handheld scanner display that appears in frame are blurred before a clip is delivered. The facility can also declare certain zones, client accounts, or product lines off limits, and nothing recorded in those areas is used. Buyers are paying to see how a person handles a mixed bin or stacks a stable pallet, not who the parcel is going to.

Is a chest camera safe to wear on the warehouse floor?

A chest or hard-hat mount with no loose straps or cables is the standard, worn within your site's own safety rules, which always take precedence over recording. If a task, a zone, or a piece of equipment is not safe to film, do not film it; time you do not record is simply not counted and there is no penalty. Forklift and reach-truck footage is recorded from the operator's seat with the camera fixed, never handheld.

Is this a wage or a second job?

Neither. Your employer keeps paying you as they do today, and eeko pays a separate licence fee for footage that passes review, by the accepted hour. There is a short participation agreement, no exclusivity, no quota, and no schedule: record every shift or one a month, and stop whenever you choose. Hours you do not record and uploads that do not pass are not paid, with one exception: your first hour after onboarding is paid in full regardless.

Which warehouse roles and locations are open?

Picker and packer, forklift operator, loader and unloader, receiving and inventory, shipping and returns, sorter, and delivery driver or helper, at any facility in the United States. Cross-dock, cold storage, and yard roles should apply as well; we add roles as robotics teams ask for them and will say plainly if we cannot place yours yet. Factory and assembly-line work has its own program, as do retail stockrooms and skilled trades.

Who receives the footage and how is it protected?

Approved robotics and AI organizations under a written licence with eeko, who use it to train and test systems for picking, packing, palletizing, and dock work. Before delivery, people, labels, and screens are blurred, and each clip carries its consent record, a cryptographic fingerprint, an independent timestamp, and a signed provenance record. Footage never goes on a public site or an open marketplace. Our verified human data page describes every check.

Operate a warehouse or a 3PL? Enroll a whole shift.

Facilities join under one agreement. Your operations team sets the exclusion zones and redaction rules with us before a single camera goes on, every worker is paid for their own accepted hours, and you get a verified record of what was captured and where it went. Mention the site in the form or ask for a call.

Packing POV image · 800 × 1000
Packing — the right box, the right fill, the label straight, before the next order lands.
Forklift POV image · 800 × 1000
Lift trucks — forks lined up at height, recorded from a fixed seat mount.

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)