Yes, you can now get paid to record videos for AI training. Companies building robots and "physical AI" pay ordinary people to film their hands doing chores, cooking or simple tasks from a first-person view. This guide shows you how these gigs work, what the listings actually pay, what gear you need, and how to protect your privacy before you hit record.
In November 2026, Fortune reported that a startup called Memories.ai is paying gig workers to wear small cameras and film real work so robots can learn from it. Around the same time, Mindrift (the freelance arm that grew out of Toloka) had dozens of "Record Your Daily Routine & Get Paid" listings live on Workable. So this isn't a rumour from a TikTok video. It's a real, new kind of AI training work.
I'll be honest with you up front, though. The pay is lower and much more uneven than the headlines suggest. Projects open and close fast, a chunk of your footage can get rejected, and you're handing over video of your face, your hands and your home. By the end of this guide you'll know exactly what you're signing up for, and whether it's worth your evening.
What It Means to Get Paid to Record Videos for AI Training
The 30-second answer
You film yourself doing ordinary things (washing dishes, folding laundry, chopping vegetables, assembling something) with a phone or small camera, usually strapped to your head. You upload the clips. The company checks them, pays you for the footage it accepts, and uses it as training data so AI models and robots can learn how real hands move through real tasks.
That's the whole job. No interview about calculus, no writing essays. Just you, your chores and a camera pointed at your hands.
How this differs from regular AI training work
Most AI training gigs are screen work. You rate chatbot answers, write ideal responses, or do data annotation, which simply means labeling data (drawing boxes around cars in photos, tagging the mood of a sentence, and so on) so a model can learn from it. If that's the kind of work you want, my guide on how to get paid to train AI covers it in full.
Video recording gigs flip that around. Instead of judging what the AI produces, you create the raw material it learns from. The skill isn't writing or expertise. It's following a recording brief carefully and filming footage that passes review. That makes it one of the few AI training jobs with almost no entry barrier, which is also why the pay is modest.
Why Robot and AI Companies Want Videos of Your Chores
Physical AI needs "how hands move" data
Chatbots learned from text scraped from the internet. Robots can't do that. A humanoid robot that's supposed to load a dishwasher needs to see thousands of hours of people actually loading dishwashers, from the angle the robot will see it: eye level, looking down at the hands.
That kind of footage barely exists online. YouTube is full of videos, but they're filmed from across the room, edited, and shot for entertainment. Robotics teams need boring, continuous, first-person footage of everyday tasks. The only way to get it at scale is to pay lots of people to film it.
What egocentric video is, in plain words
You'll see the term "egocentric video" in almost every listing. It just means first-person video, also called POV (point of view) footage. The camera sits where your eyes are, usually on a head strap or a small wearable, so the viewer sees exactly what you see: your two hands, the cutting board, the knife.
Egocentric video data collection is the formal name for this work. When a listing says "head-mounted phone" or "first-person capture," it means the same thing.
The size of the rush
The numbers in the news are big. Fortune reports that Memories.ai collected more than 1 million hours of footage in the first month of its beta and is aiming for over 10 million hours by March 2027. That's a lot of hours, and every one of them was filmed by a person somwhere.
Big demand sounds great for workers. In practice it means many people competing for the same projects, and companies that can afford to be picky about quality. Keep that in mind when you read the pay section.
The Types of Video Recording Gigs You'll See Right Now
These gigs sit inside the wider world of ai data collection jobs, but they come in a few distinct flavours. Here are the four you're most likely to run into.
"Record Your Daily Routine": head-mounted household chores
This is the most common listing right now. Mindrift and Toloka post roles titled "Record Your Daily Routine & Get Paid - AI Training (Remote)" on Workable, often with around 20 live at once for different countries.
The setup: you strap a phone to your head, set it to the ultrawide lens, and film yourself doing household chores at a natural pace. Think cooking, cleaning, tidying and laundry. You follow a brief that tells you which tasks to film and for how long. Ever wondered whether you can record your daily routine and get paid for it? This is the realistic version of that idea.
One-time scripted shoots
Some tasks are single, paid shoots with a fixed script. One Mindrift listing on Workable offered $70 to record video at home with a smart TV, taking roughly 1 to 1.5 hours plus upload time. It was US only, excluded some states, and needed an iPhone 15 Pro or newer with about 70 GB of free storage.
These pay better per hour but they're rare, they fill fast, and the device requirements are strict.
Wearable-camera work programs
A newer model gives you a dedicated camera instead of using your phone. Memories.ai launched Memories Upload, which uses a small clip-on camera called the LUCI Pin (Crypto Briefing describes it as recording 4K with a 109° field of view). Fortune reported that some of its workers film their actual jobs, not just home chores.
In India, a company called Human Archive gives workers camera caps to film everyday work, according to TechCrunch. That program has drawn attention from regulators, which I cover in the privacy section.
App-based clip collection
The last group is phone apps that ask for short clips. Waffle Video, for example, is running a beta that pays per hour of approved footage. Other apps pop up constantly, and some are fine while others are data grabs dressed up as jobs. Check who runs the app, read its privacy policy, and look for real worker reviews before you install anything that wants camera and storage access.
How Much Do Video Recording AI Jobs Pay?
Short answer: when you get paid to record videos for AI training, most listings land somewhere between about $3 and $18 per hour of accepted footage, with a few fixed one-off payments above that and some programs far below. Here's exactly what each source states. I'm only quoting figures from the listings and reports themselves.
What each listing actually says
| Source | Stated pay | Basis |
|---|---|---|
| Mindrift (market overview on its blog) | about $3 to $9+ per hour | per hour of accepted footage, across the market |
| Mindrift (its own egocentric projects) | $6 to $15 per hour | Mindrift's stated range |
| Toloka/Mindrift routine listings (Workable) | "up to $6/hr equivalent" (Mexico listing), "up to $10/hr equivalent" (another listing) | hourly-equivalent ceiling |
| Mindrift smart-TV task (Workable) | $70 one time | about 1 to 1.5 hours plus upload |
| Memories Upload | $6 to $18 per task | per Crypto Briefing |
| Waffle Video (beta) | minimum $18 per hour | per hour of approved footage, plus relicensing upside |
| Human Archive (India) | $1 per hour base | per TechCrunch |
Notice the words "up to" and "equivalent." Those are ceilings, not promises.
Why "per hour of accepted footage" isn't per hour of your time
This is the part most people miss. You're usually paid for footage that passes review, not for the time you spent making it.
Here's a simple worked example. Say a project pays $6 per hour of accepted footage. You film one hour, but 25% gets rejected for bad framing or lighting. Now you're at $4.50 for that hour. Add 15 minutes to set up the head strap and lighting, plus 20 minutes for the upload on a slow connection, and your real hourly rate drops below $3.50.
So before you commit, do one test session and time everything. That's your true rate, and it's the only number that matters.
The supply problem: projects come and go
Even a good rate means nothing if there's no work. Reddit is full of people saying exactly that. In one r/Toloka thread, a worker wrote that "without video recording project, we couldn't even make $100 in a month." Another replied, "I earned only 5 dollars." In r/AiTraining_Annotation, a "Is Mindrift dead?" thread shows people getting invites but no tasks.
Treat these gigs like seasonal work. When a project is live, it can be a nice top-up. When it closes, it's gone, sometimes for weeks.
What You Need: Phone, Gear and Video Specs
Phone requirements
Most routine listings ask for a phone that records at least 1080p at 30fps and has an ultrawide (0.5x) lens. The Toloka/Mindrift listings name examples like an iPhone 12 or newer, a Pixel 6 or newer, or a Galaxy S21 or newer. Some one-off tasks are stricter: the smart-TV shoot wanted an iPhone 15 Pro or newer with about 70 GB free.
Older phone without an ultrawide lens? You'll likely fail the device check, so don't waste time on the signup.
Mount, light and Wi-Fi
You'll need a head strap or head mount that holds the phone steady and level. Legit projects either reimburse it or send you one, so be wary of anyone who insists you buy a "kit" from them. Good, even lighting matters more than you'd think, because dim footage is a top reason for rejection.
And you need stable Wi-Fi. An hour of 1080p video is a big file. Mobile data uploads are slow, expensive, and fail halfway more often than you'd like.
Footage rules you'll see in most briefs
- Film in landscape, using the 0.5x widest lens.
- Work at a natural pace. Don't slow down or perform for the camera.
- No narration unless the brief asks for it.
- Keep clips at least 15 seconds long (a common minimum in the routine listings).
- Keep your hands and the task in frame the whole time.
Eligibility: country, age and payment checks
Every project that lets you get paid to record videos for AI training names the countries it accepts, and you must be 18 or older. Platforms also check that your bank or payout account matches your country. Here's the big one: don't use a VPN to get into a project for another country. Platforms detect it, and it's one of the fastest ways to get your account banned and your unpaid earnings frozen.
How to Get Started, Step by Step
1. Find a real listing
Start from the platform's official website or a trusted job board, never a Reddit DM or a social media comment thread. The Mindrift/Toloka routine projects are posted publicly on Workable, and you can also browse current gigs on the AiTrainerGigs board.
2. Sign up and pass the device check
Expect a short onboarding: create an account, confirm your country, and run a device check that confirms your phone's camera specs. Some platforms add a quick AI interview or a short quiz on the guidelines. It's not hard, but read every screen.
3. Record a test clip and read the brief twice
Before you film anything paid, record a 30-second test with your mount on. Watch it back. Are your hands centered? Is the light good? Is the phone level? Then read the project brief again, start to finish. Most rejections come from people who skimed it.
4. Upload, wait for review, get paid
Upload on Wi-Fi and keep the app open until it finishes. Review can take days. Once footage is accepted, it counts toward your payout. On Mindrift projects, payouts are bi-weekly.
5. Tips that cut your rejection rate
- Clean the camera lens. Seriously, it fixes half of all blurry footage.
- Tie back long hair and avoid loose sleeves that cover your hands.
- Film in daylight or a well-lit room, with no strong light directly behind your work.
- Clear the counter of anything personal before you start (more on that next).
- Do short sessions first, then check the review results before you film a lot more.
Is It Safe to Record Videos for AI? Privacy and Consent
This is the part I'd want a friend to read twice. You're not just selling your time. You're licensing video of your body, your home, and possibly your voice and face, to companies you've probably never heard of.
Your face and home are biometric data
Your face, your hands and your voice can count as biometric data, which means data that identifies you physically. Before you record a single clip, find answers to three questions in writing:
- Who gets the footage (just this company, or "partners" too)?
- How long is it kept?
- How do you ask for it to be deleted?
My rule is simple: no written policy means don't record. A real project will have a consent form and a privacy page you can read before you sign up. Fortune reported that Memories.ai uses automatic face blurring, which is good to see, but don't assume every company does the same.
Family, kids and housemates
Keep everyone else out of the frame. Your housemate didn't agree to be training data, and children can't meaningfully consent at all. Fortune reported that Memories.ai requires consent forms from co-workers who appear in workplace footage. Even when a platform doesn't ask, treat that as the standard you hold yourself to.
What to never film
- Screens: your laptop, your phone, the TV with your account logged in
- Documents, mail, bills or anything with your name and address
- ID cards, bank cards or keys
- License plates or the view of your street from the window
One stray envelope on the kitchen counter can put your home address into a dataset forever. Do a quick sweep of the room before every session.
Regulators are watching
This isn't a solved area. TechCrunch reports that India's IT ministry has been reviewing Human Archive's consent practices. More scrutiny is probably coming everywhere, which is good for workers long term, but it also means some programs may change their rules, or shut down, with little warning.
Red Flags: Video Recording AI Job Scams
Any new kind of gig attracts scammers fast, and this one is no different. Here's what to watch for. For the full picture, read my breakdown of how to spot fake AI training job offers.
Any fee to join
Real projects never charge you. Not an "activation fee," not a "verification deposit," and not a paid "training kit" with a head strap you must buy from them. When money flows from you to the "employer," it's a scam. Full stop.
"Comment RECORDING for the link" posts
You'll see posts like "Get Paid $15/Hour Recording Everyday Activities" on Reddit and social media. One such r/DailyIncome thread had 383 comments, almost all of them people typing "recording" to get a link. The same poster ran the same pattern in r/RemoteWorkers with "up to $17/hour."
These aren't job offers. They're referral funnels: the poster earns money when you sign up through their link, and the pay figure in the headline is often borrowed from the best-case listing. Go to the official platform site yourself instead.
Apps that grab too much
Be careful with apps that ask for full access to your photo library, want your payment details before you've done any work, or only talk to you on Telegram or WhatsApp. A legit video collection app needs camera access and a way to upload. It doesn't need your whole camera roll.
Who Should Try These Gigs (and Who Should Skip Them)
Good fit
You already do chores or hands-on work every day, you have a recent phone with an ultrawide lens, you live alone or can film without anyone in the shot, and you want a bit of side income without a skills test. For you, filming the cooking you were going to do anyway is close to free money.
Skip it
Pass on these gigs if you need steady income, because projects come and go. Skip them too if you share a small home with kids or others who can't stay out of frame, if your phone is older, or if you aren't comfortable with your face and home being on file somewhere you can't fully control.
Better-paying alternatives if you have skills
Video recording is the entry-level end of AI training. Do you write well, know a second language, or have a degree or STEM background? Then rating, writing and expert evaluation work usually pays far more per real hour. Check my list of the AI training sites that pay best to see where those projects live.
Conclusion: Real Work, Small Money, Big Privacy Question
The chance to get paid to record videos for AI training is real. Companies genuinely need first-person footage of human hands doing human tasks, and they're paying people around the world to make it. That's new, and kind of facinating when you think about it.
But go in with clear eyes. The listed rates are ceilings, rejected footage doesn't pay, and projects can vanish overnight. My advice: try one project, time a full session from setup to upload, and work out your real hourly rate. Then decide. Keep your privacy rules non-negotiable, keep other people out of frame, and never pay to join anything.
Want to see what's open right now, alongside other AI training work that may pay you more?
