LatAm collector role
Physical AI Data Collector Jobs in LatAm
TrueLabel accepts LatAm-based physical AI data collector applicants for evergreen physical AI data collection opportunities. Briefs are available in Spanish or Portuguese, with English on request, matched to your country.
Overview
Physical AI data collection captures approved everyday task footage that robotics and physical-AI teams use for training. The emphasis is on realistic, multi-step routines completed start to finish so each capture shows a full, repeatable sequence. You record on a phone or approved camera, keep the action continuous, and submit raw clips. Payment applies only to accepted footage. In LatAm, this work is filmed in home kitchens and dining areas, neighborhood markets and small shops, shared building or apartment spaces, and informal workshops and repair benches.
Applicants in LatAm should be ready to share device details, mount options, language, safe recording space, and availability before completing a short qualification sample. Coordination spans several Latin American zones; each brief lists its review window in your local time so cross-border collectors stay aligned. Learn more about Physical AI Data Collector opportunity in LatAm, collector jobs in LatAm, privacy and consent for video capture.
Physical AI Data Collector in LatAm answers
Collector opportunity details
- Role
- Physical AI Data Collector
- Location
- LatAm
- Work type
- Remote, opportunity-based multi-step routine capture (independent contractor)
- Typical settings
- home kitchens and dining areas, neighborhood markets and small shops, shared building or apartment spaces, and informal workshops and repair benches
- Common areas
- Briefs draw on anchor metros across the region, from CDMX and Bogotá to São Paulo, Santiago, Buenos Aires, and Lima.
- Capture spec
- Use a recent smartphone or approved wearable/action camera at 1080p/30fps minimum and keep the camera positioned to follow the whole routine continuously.
- Language
- Briefs are available in Spanish or Portuguese, with English on request, matched to your country.
- Timezone
- Coordination spans several Latin American zones; each brief lists its review window in your local time so cross-border collectors stay aligned.
- Pay
- $18-$24 per approved hour of usable footage
- Payout
- Payouts settle in USD through the rail for your country: SPEI in Mexico, Pix in Brazil, Nequi or local bank transfer in Colombia, and local bank transfer in Chile, Argentina, and Peru. You confirm your method during onboarding and accepted work is paid through the twice-weekly queue.
- Review
- The TrueLabel collector QA team, usually within 2 business days of upload
- Last updated
- June 5, 2026
What this opportunity involves
What a physical AI data collector records in LatAm
In LatAm, a physical AI data collector films approved task footage used for robotics and physical AI data workflows in settings such as home kitchens and dining areas, neighborhood markets and small shops, shared building or apartment spaces, and informal workshops and repair benches. Briefs draw on anchor metros across the region, from CDMX and Bogotá to São Paulo, Santiago, Buenos Aires, and Lima. Strong submissions show setup, task motion, object state changes, and completion clearly enough for the TrueLabel collector QA team to review.
Core responsibilities for physical AI data collectors in LatAm
This role is defined by a specific set of capture habits: capture full multi-step routines from start to a clear finished state, keep object handling continuous so each step flows into the next, record realistic, repeatable sequences rather than staged one-off shots, and preserve raw footage so the full routine is available for review. Each is checked during review, so practising them before you submit keeps your acceptance rate high. In LatAm, you apply these habits in home kitchens and dining areas, neighborhood markets and small shops, shared building or apartment spaces, and informal workshops and repair benches.
What gets accepted versus reshot in LatAm
Footage is accepted when the routine runs from start to finished state without skipped steps, object handling stays continuous and clearly visible across steps, and footage is raw and represents a realistic, repeatable task. It is sent back or rejected when the routine is cut short or skips steps in the sequence, object handling drifts out of frame between steps, and staged or unrealistic motions that would not transfer to a robot. Accepted LatAm work pays $18-$24 per approved hour of usable footage, reviewed by the TrueLabel collector QA team usually within 2 business days of upload. Payouts settle in USD through the rail for your country: SPEI in Mexico, Pix in Brazil, Nequi or local bank transfer in Colombia, and local bank transfer in Chile, Argentina, and Peru. You confirm your method during onboarding and accepted work is paid through the twice-weekly queue.
How TrueLabel matches physical AI data collectors in LatAm
For a physical AI data collector, the setup that matters most is concrete: use a recent smartphone or approved wearable/action camera at 1080p/30fps minimum and keep the camera positioned to follow the whole routine continuously. A passing sample proves you can capture a continuous multi-step routine to a clear finished state with handling visible throughout. Your profile should also list location, language, available mounts, recording environment, and weekly availability so TrueLabel can match you to eligible work. Briefs are available in Spanish or Portuguese, with English on request, matched to your country. Coordination spans several Latin American zones; each brief lists its review window in your local time so cross-border collectors stay aligned.
What makes a submission review-ready in LatAm
The single most common rejection is a routine that is cut short before reaching a clear finished state. Beyond that single failure, a review-ready physical AI data collector clip keeps the task visible from start to finish, follows the brief, avoids private information, and arrives as a raw upload. Test your framing on a short clip before recording the real take. In LatAm that review happens against home kitchens and dining areas, neighborhood markets and small shops, shared building or apartment spaces, and informal workshops and repair benches, with the TrueLabel collector QA team returning outcomes usually within 2 business days of upload.
Recording this role in LatAm
LatAm collector work pulls from several eligible countries, so briefs come in Spanish or Portuguese and review windows are posted in your local time. Typical captures are household, food-prep, and small-commerce sequences filmed on a recent smartphone or wearable. You submit raw clips through TrueLabel, get paid only for accepted footage, and payouts settle in USD. For a physical AI data collector, that means filming capture full multi-step routines from start to a clear finished state and keep object handling continuous so each step flows into the next in settings such as home kitchens and dining areas, neighborhood markets and small shops, shared building or apartment spaces, and informal workshops and repair benches. Payouts settle in USD through the rail for your country: SPEI in Mexico, Pix in Brazil, Nequi or local bank transfer in Colombia, and local bank transfer in Chile, Argentina, and Peru. You confirm your method during onboarding and accepted work is paid through the twice-weekly queue.
Matching opportunity types
TrueLabel uses collector profile signals such as location, device, language, capture setup, and sample quality to match applicants with eligible collector opportunities.
| Opportunity | Collector work |
|---|---|
| Capture in LatAm | Capture full multi-step routines from start to a clear finished state |
| Capture in LatAm | Keep object handling continuous so each step flows into the next |
| Capture in LatAm | Record realistic, repeatable sequences rather than staged one-off shots |
| Capture in LatAm | Preserve raw footage so the full routine is available for review |
Requirements and review
| Area | What to expect |
|---|---|
| Eligibility | Collectors across eligible LatAm countries work as independent contributors, must be 18 or older, and confirm recording permission for each space they capture. |
| Device | Use a recent smartphone or approved wearable/action camera at 1080p/30fps minimum and keep the camera positioned to follow the whole routine continuously. |
| Language | Briefs are available in Spanish or Portuguese, with English on request, matched to your country. |
| Privacy | No faces, IDs, screens, addresses, payment cards, or private documents in frame; in LatAm take extra care with bystanders and signage when filming home kitchens and dining areas. |
| Payment | Payouts settle in USD through the rail for your country: SPEI in Mexico, Pix in Brazil, Nequi or local bank transfer in Colombia, and local bank transfer in Chile, Argentina, and Peru. You confirm your method during onboarding and accepted work is paid through the twice-weekly queue. |
Privacy and quality expectations
For this location-specific collector role across LatAm, good collector work is useful because the recording is clear, complete, and safe to review. Keep the task visible, avoid private information, submit raw files, and follow the opportunity brief before recording. If a project asks for first-person or smartphone video, assume that faces, IDs, payment cards, screens, addresses, private documents, and bystanders should stay out of frame unless the brief explicitly says otherwise.
For additional background, TrueLabel links to public references on privacy and responsible AI data practices. The opportunity brief, collector agreement, and TrueLabel review outcome remain the source of truth for what is accepted, rejected, or paid.
Related collector opportunities
The related opportunities below show how specific collector work is scoped across LatAm when TrueLabel has matching work categories.
Related collector opportunities
FAQ
What makes a physical AI data collector submission pass review?
A passing sample proves you can capture a continuous multi-step routine to a clear finished state with handling visible throughout.
What is the most common reason physical AI data collector footage is rejected?
The single most common rejection is a routine that is cut short before reaching a clear finished state. Most reshoots for this role come back to that single issue, so check it on a short test clip before recording the full task.
Are rejected physical AI data collector uploads paid?
For this role, footage is sent back when the routine is cut short or skips steps in the sequence. Payment applies only to accepted work that passes review; duplicate, unsafe, private, edited, or off-brief submissions are not eligible.
Do I need data collection experience to apply in LatAm?
No. Opportunities in LatAm are capture-first. Collectors across eligible LatAm countries work as independent contributors, must be 18 or older, and confirm recording permission for each space they capture.
What language are LatAm briefs written in?
Briefs are available in Spanish or Portuguese, with English on request, matched to your country. Coordination spans several Latin American zones; each brief lists its review window in your local time so cross-border collectors stay aligned.
How and when are LatAm collectors paid?
Accepted work enters the payment queue after review; rejected or duplicate submissions are not paid. Payouts settle in USD through the rail for your country: SPEI in Mexico, Pix in Brazil, Nequi or local bank transfer in Colombia, and local bank transfer in Chile, Argentina, and Peru. You confirm your method during onboarding and accepted work is paid through the twice-weekly queue.
Apply for physical AI data collector work in LatAm
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