WORKFORCE DEMO · HUMAN DATA OS

See who makes the data.

The data only people can give starts with people you can vouch for. Walk the roster, the worker record, auto-recruit, and the hiring pipeline — every reviewer carries a cert, a trust score, and a record of work you can defend under audit. Read-only here. Hands-on in a pilot.

ACTIVE WORKERS
0
CERTIFIED WORKERS
0
OPEN DEFICITS
0
ROSTER · SIX WORKERS

Filter by cert, skill, trust tier, or availability.

Every worker is identity-verified, certified for the work, and tiered by trust earned over time — so the people behind your data survive an audit. The six rows here are illustrative seed data; in a pilot they read from your live roster.

WorkerSkillsCertificationsTrust tierAvailabilityActive assignmentQuality
Worker A.L.
Clinical NLP reviewer
NLP · HIPAA · Oncology
HIPAA · Oncology QA
CALIBRATED
NowClinical summary eval97
Worker M.S.
Vision QA specialist
Segmentation · Bounding boxes · QA
SOC2 · Segmentation
CALIBRATED
NowMask audit surge95
Worker R.K.
Robotics demonstrator
Bimanual · Demonstration · UR5
Lab access · UR5
TRUSTED
2 daysBimanual package-sort91
Worker P.H.
RLHF preference labeler
RLHF · Preference · Rubric
Policy · Preference
CALIBRATED
NowPreference batch R-1896
Worker T.O.
Safety reviewer
Safety · Bias · Red-team
Safety · Bias
TRUSTED
1 weekEscalation review93
Worker J.B.
Code review specialist
Python · TypeScript · Review
Code QA · TypeScript
CALIBRATED
NowTool-call audit94
WORKER DETAIL · DRILLDOWN

Trust built over time, not claimed once.

Every worker page carries a trust-score timeline so operators see why the tier is what it is — and when to recalibrate.

WORKER DETAIL

Worker A.L.

Clinical NLP reviewer

TRUST TIER
Calibrated
ACTIVE
3
COMPLETED
1842
QUALITY
97%
TRUST-SCORE TIMELINE · 12 WEEKS
LATEST · 97 · RECALIBRATED EVERY 2 WEEKS
AUTO-RECRUIT · RULES FLOW

Deficit in. Offer out. Evidence everywhere.

A 40-hour gap on the skill-by-shift matrix becomes governed outreach: a rule fires, a shortlist is scored, and the dispatch carries the deficit and the rule that triggered it. Every step is recorded, so the fill is auditable, not ad hoc.

STEP 1

Trigger

Deficit ≥ 40 hours detected on the skill × shift matrix.

STEP 2

Evaluate rule

Match the deficit against active auto-recruit rules.

STEP 3

Dry-run preview

Recruiter sees the candidate pool and expected reach.

STEP 4

Dispatch

Preview the Cleo outreach route with the job attached.

STEP 5

Close deficit

Accepted candidates fill the shift; rule marks closed.

CLEO RECRUITING PASS
● 40H GAP
94
Candidate N.K.
Cleo interview route
REVIEW
88
Candidate M.P.
Assignment-ready
BOOK
82
Candidate R.S.
Human review
HOLD
DEFICIT MATRIX

Role by shift, in hours.

The numbers are open hours. The biggest cells are the deficits auto-recruit will route first.

EarlyMidLate
Reviewer
0
12
48
Annotator
6
0
22
Specialist
18
4
34
DEFICIT READING
PIPELINE · KANBAN

Sourced to hired, on one board.

SOURCED
3 CARDS
Candidate N.K.
Candidate M.P.
Candidate R.S.
SCREENED
2 CARDS
Candidate T.O.
Candidate A.L.
IN INTERVIEW
1 CARD
Candidate P.H.
OFFER OUT
1 CARD
Candidate J.B.
HIRED
1 CARD
Candidate M.S.
NEXT STEP

Run it on your own roster.

This walkthrough is read-only. Start a pilot and the same roster, trust scores, and hiring pipeline read from your live metrics — with the people behind your data verified and on record.

Workforce demo · AuraOne | AuraOne