📣AnnouncementProject Auriga · May 18, 2026

Project Auriga — Contributor Slots Filled

Thank you to everyone who applied. Project Auriga has reached full contributor capacity and applications are now closed. We will reopen slots as the program scales. Follow Flipside AI on Facebook to be notified the moment new slots become available.

Follow Flipside AI
for updates & slot openings
Resubmit your application

Were you asked to resubmit?

Applications are currently closed to new applicants. If received an email asking you to resubmit, enter your email below to access the form.

Active Programs

Project Registry

Each project runs independently with its own scope, unit of production, contributor criteria, and compensation structure. Client identities may be confidential — codenames are used in all contributor-facing materials.

Auriga
Full

Home environment data collection. Egocentric video of household chores and indoor manipulation — cleaning, cooking, object handling, domestic routines in real home settings.

Egocentric VideoPhone-BasedHome · IndoorQualification Required
Indoor · Scope TBD
Gaia
Preparing

3D scene capture for world model training. Orbital iPhone video of real-world environments — streets, markets, transit, parks, interiors. Two-pass capture protocol with gimbal. Static scenes, 60–90 sec per scene.

3D Scene CaptureiPhone · GimbalOutdoor + Indoor · WorldQualification Required
Orbital · iPhone + Gimbal
Nova
Premium

Premium egocentric data collection using iPhone Spatial Video capture. Operator-collectors record natural, task-based activities across real-world environments using a compatible iPhone Pro model. Global applications open.

EGOCENTRIC · SPATIAL VIDEO12 NON-HOME TASK ENVIRONMENTSQUALIFICATION REQUIRED
iPhone 15 or above · Head-mounted · Spatial Video
Vega
Internal

Nexscient Labs's proprietary training dataset. Mixed-environment egocentric collection — home chores and indoor tasks alongside outdoor and real-world activity. Broad scene coverage.

Egocentric VideoPhone-BasedIndoor + OutdoorQualification Required
Mixed · Scope TBD
Nova
EGOCENTRIC · SPATIAL VIDEO12 NON-HOME TASK ENVIRONMENTSQualification required

Nova is a premium egocentric video collection program preferred for small and medium businesses where operators record their actual workplace operations. Because the program strictly requires recording using the native "Spatial Video" settings, participation is exclusive to operators using an iPhone 15 or newer. All tasks must be completed in non-home environments. Global applications are open, and qualification is assessed via a structured onboarding interview and an equipment verification process.

Rig specification — required hardware
Camera
iPhone 15 or newer · Front-facing recording · No external lenses or mods
Mount
Head-mount harness with 1/4" adapter, front-facing, egocentric POV
Edge Compute
Intel NUC i5-class or equivalent · Min 16 GB RAM · 512 GB NVMe
Storage
2 TB portable SSD (e.g. Samsung T7 Shield)
Power
65 W USB-C portable power bank · Min 25,000 mAh
Calibration
A2 checkerboard board · Intrinsic calibration required before first episode
Capture specification
Resolution
≥ 1080p RGB
Frame Rate
≥ 30 FPS
Depth Stream
Stereo depth, synchronised
IMU
Synchronised IMU data per episode
Episode Length
Short clips 30 s – 5 min · Long clips up to >30 min
Format
MCAP + protobuf · MP4 (lossless AV1) · JSON metadata per episode
Task diversity — required environment coverage
Operator-collectors must be able to perform natural, task-based activities across a minimum of 4 distinct task categories from the list below. Operators covering more categories are prioritised. No single category may exceed 20% of an operator's submitted volume.
Cleaning & SanitationFood & Beverage PrepRetail & Consumer GoodsPacking & LogisticsBeauty & Personal CareConstruction & RepairHealthcare & PharmacyChildcare & EducationLight AssemblyOffice & Admin TasksOutdoor Real-World
Operator requirementsOperator-collectors must be 18 or older, able to perform continuous task-based activity for 30+ minutes while wearing the head-mount rig, and have access to at least one qualifying environment (workplace, retail, or similar real-world setting). Prior experience with data collection equipment is an advantage but not required — full rig training can be provided. Global applications welcome.
Gaia
iPhone · GimbalOrbital CaptureQualification Spec TBD

Gaia uses an orbital 3D scene capture protocol — not head-mounted egocentric recording. Contributors use an iPhone (14 or newer) on a gimbal to record two-pass orbits around static real-world scenes. The qualification pathway will be published when the project scope is confirmed.

Device
iPhone 14 or newer
Equipment
Gimbal recommended
Orientation
Landscape
Duration
60–90 sec per scene
Protocol
Two-pass orbital (overhead + waist)
Scene
Static · 5+ distinct 3D objects
Vega · Auriga
Phone-basedQualification via link

Applicants for Vega and Auriga submit a link to a short qualification clip. Automatically checked for technical criteria, then human-reviewed for mount, hands, and content. Personal details collected only after this step passes.

Duration
Under 15 seconds
Resolution
1080p minimum
Frame Rate
30fps minimum
Orientation
Landscape
Zoom
0.5x or wider
Mount
Head-mounted, egocentric
Content
Both hands moving object across surface
Submission
Link — Google Drive, iCloud, Dropbox, OneDrive
Set link to "anyone with link can view." Keep it accessible until review is complete.
Auto checks: resolution · fps · orientation. Human review: mount · hands · object movement. One retry on fail.