PHASE ONE — AVAILABLE AT LAUNCH

Label.Learn.Earn.

App-based data labelling woven into the daily work of motherhood.

$25–30/hour for doing things that help your family.

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THE GAMES

Play. Produce. Get Paid.

Hand-embroidered illustration of a mother meal planning
APP TOOL

Meal Planning

Rank recipes, compare ingredients, solve your family’s weekly menu like a puzzle. Budget constraints become game mechanics. Allergies become rules. When you’re done, dinner is planned — and every choice you made along the way is structured preference data.

WHAT THE GAME PRODUCES

Preference rankings, dietary constraint handling, budget optimization choices, ingredient substitution decisions, family-size portioning signals.

Hand-embroidered illustration of a mother teaching her child
APP TOOL

Education Challenges

Challenges you do alongside your children. Help your daughter sound out words. Guide your son through a fraction problem. The teaching IS the game — and the data captures how a patient mother actually teaches in real time.

WHAT THE GAME PRODUCES

Teaching sequences, difficulty adaptation patterns, patience signals, engagement detection, age-appropriate explanation strategies.

Hand-embroidered illustration of a mother organizing the weekly household rhythm
APP TOOL

Household Scheduling

Build your family’s weekly rhythm like a strategy game. Prioritise, sequence, delegate. The schedule you create is real — your household runs better for it — and every decision you made building it trains AI on how families actually organise their lives.

WHAT THE GAME PRODUCES

Priority sequencing, temporal constraints, interruption handling, multi-person coordination, real-time replanning decisions.

Hand-embroidered illustration of a mother comparing and choosing
APP TOOL

Direct Data Labelling

Between games, between tasks — direct labelling work. Compare two AI responses to a parenting question. Annotate images of kitchens and playrooms. Rate how well an AI understands a family moment. This is where your contextual knowledge matters most.

WHAT THE GAME PRODUCES

RLHF preference pairs, image annotations for domestic scenes, text annotations for family contexts, quality-validated labels with cross-community agreement.

THE LOOP

How the Data Flows

Data Types4 Streams

Preference pairs, teaching sequences, scheduling decisions, and direct annotations. All structured, all labelled, all from real domestic life.

Volume~150/day

Labelled data points per active user per day. Across meal planning, education, household, and direct labelling sessions.

Feedback LoopWeekly

Your data improves the tools. Better tools generate better data. The cycle compounds — your experience gets better every week.

Your Actions
↓
Structured Data
↓
Better Tools
↓
Your Actions

The games and tasks ARE the labelling. Rank meal options and you have dinner planned for the week. Help your child through a reading challenge and the way you taught becomes training data. Build your household schedule and every decision you made trains AI. The output is something your family actually uses. The data is a byproduct of producing it.

A REALISTIC PICTURE

Your Week with Ambrosia

Mon

15 min meal planning for the week

$8
Tue

10 min labelling during naptime

$5
Wed

20 min education challenge with kids

$10
Thu

15 min household scheduling

$8
Fri

25 min meal prep + labelling

$13
Sat

10 min weekend activity planning

$5
Sun

Rest. Or not — your choice.

—
WEEKLY TOTAL

~$49

Monthly: ~$200. For less than two hours a week.

REAL NUMBERS

Compensation

Meal Planning$25–30/hr

Preference data from real family meal decisions.

Education$25–30/hr

Teaching sequences and adaptive learning patterns.

Household$25–30/hr

Scheduling and optimization decisions.

Data Labelling$25–30/hr

Direct annotation and preference ranking tasks.

Typical monthly projection

$200–500

Depending on hours. Most mothers use the platform 1–3 hours per week.

How payment works

Getting Paid

Weekly deposits

Earnings are deposited weekly via direct bank transfer or PayPal. No waiting 30 days.

Per-task compensation

You’re paid per task completed, not per hour of screen time. A 15-minute meal planning session earns approximately $8. The rate reflects the quality of real-world contextual data.

Independent contractor

Ambrosia earnings are classified as independent contractor income (1099). You’ll receive tax documentation at year-end.

Government benefits

If you receive government benefits (SNAP, Medicaid, Section 8, disability), additional income may affect eligibility. We recommend consulting your caseworker — and we’re building tools to help you navigate this, because we believe good work shouldn’t penalise you.

YOUR DATA, YOUR CONTROL

Privacy at This Phase

Encrypted in transit and at rest

AES-256 encryption. TLS 1.3 for all data in motion. Nothing leaves your device unprotected.

No location tracking

The app does not request or store your location.

Delete any data, any time

Full deletion from all systems including backups within 72 hours. No exceptions.

GDPR and COPPA compliant

Built for the strictest privacy frameworks from day one. Not retrofitted.

“Phase 1 is as private as any app on your phone. No video. No sensors. Just games that produce real outcomes for your family — and valuable training data along the way.”

Phase 1 is a complete experience.

You can earn, learn, and contribute here indefinitely. There is no expectation, no pressure, and no timeline to do anything more. Video and sensors are separate opportunities for mothers who choose them — not next steps you’re expected to take.

But when you’re ready…→

Ready to start?

We’re building Ambrosia right now and we want you involved from the beginning. Join the early community and help shape the tools you’ll actually use.