Role: AI Data Collector (Remote)

Location: Work from anywhere

Job Type: Part-Time / Flexible

Daily Commitment: Flexible

No language barriers — this project records tasks only; no audio or speech required.

No experience required.

About the Role

Rilith is seeking contributors worldwide to help build diverse facial motion datasets across various skin tones.

Task Overview Record a single ~10-second face motion video using your PC webcam, phone, or tablet.

Fully remote & flexible schedule
One submission per person
Total collection goal: 9,900 participants globally

Requirements

Real human (no AI-generated content)
Age 18 or above
Located in one of the eligible countries listed below
Must complete KYC registration on the platform before submitting

Recording Specs

Format: MP4
Resolution: ≥ 720p / 30fps minimum
Duration: ~10 seconds

Eligible Countries

Africa: Egypt | Morocco | South Africa | Nigeria
Asia: Pakistan | Malaysia | Hong Kong | Taiwan | Bangladesh | Indonesia | Laos | Japan | South Korea | Thailand | Vietnam
EU / Americas / Oceania: Suriname | Belgium | Australia | United Kingdom | France | Germany | Italy | Poland | Portugal | Brazil | Spain | Mexico | Sweden | Turkey

Rate & Payment

Pay rate: $17-$22 per 10-seconds video
Instant payment - record receive basis

About Rilith:

Rilith is empowering intelligent machines at scale. With teams spanning the USA, LATAM, EU, and Asia, we bring a truly global perspective to every project we undertake. Our on-the-ground experience extends beyond software and data — our team has hands-on experience working directly alongside robotic hardware, giving us a deeper understanding of real-world deployment needs. At Rilith, we take data responsibility seriously; all footage we collect is PII-free, with no face capture, ensuring every deliverable is fully privacy-safe. We don't just collect data — we collect it the right way.

We are highly agile and adaptive to challenging data projects.

Specializations:

Egocentric Head-Mounted Video – First-person POV captures using head-mounted rigs across residential and commercial settings. We handle participant recruitment, field deployments, and high-quality footage delivery.

Egocentric Human Hand Video – Hand-object interaction recordings in manufacturing, household, and daily-use settings using a multi-view rig (head, left-wrist, and right-wrist cameras).

Robotics Manipulation – Video capture of robotic gripper (2–3 finger) and dexterous hand (4–5 finger) tasks using a multi-view rig (head/overhead, left/right gripper, and front/top views).

Join our global network of Rilith Warriors:

Rilith has expertise in creating data specifically for Physical AI, which it does in collaboration with a globally spread freelancer network — we call them Rilith Warriors. What differentiates us from others is that we respect, care for, and understand the challenges faced by freelancers.

We ensure:

Timely payment
Continuous projects

Rilith

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