AI training data
Expert human data for frontier models.
The experts Aria has already vetted for hiring produce the preference data, evaluations and red-team findings that frontier labs train and measure on.
- 10M+
- Data points delivered
- 500+
- Expert contributors
- 99.7%
- Quality gate pass
- 100+
- Domains covered
Data partner to teams building frontier AI
Forge · data operations
A pipeline built for expert work, not crowd work.
Task specs, expert pools, generation, layered QA and delivery in one system, with audit trails on every item.
- Gold-set calibration and inter-rater agreement per batch
- Your schema, your bucket, your cadence
- SOC 2 controls, NDAs and data residency options
RL environment · Clinical reasoning
Held-out eval- 1GPT-572.4%+3.1
- 2Claude Opus 4.770.9%+2.6
- 3Gemini 3 Pro66.2%+1.8
- 4Open-weights baseline51.7%—
Run details · Batch 4471
DeliveringItems
3,120
QA pass
99.7%
Agreement
0.91
Experts
48 MDs
Expert QA · items 2,801–2,896
pass · review · flag
Throughput · items / hr
412
Expert QA · live
reviewing now · 3 of 3 must agree
Capabilities
Every modality a frontier lab needs.
End-to-end human data operations converting expert intelligence into the datasets that shape how AI reasons, adapts and evolves.
- 01
RLHF
Reinforcement learning from human feedback
- 02
SFT
Supervised fine-tuning pipelines
- 03
VLMs
Vision-language training data
- 04
Reasoning
Complex logical reasoning datasets
- 05
Multi-modal
Cross-modal understanding data
- 06
Red teaming
Safety and adversarial testing
- 10M+
- Data points processed
- 500+
- Expert contributors
- 99.7%
- Quality score
- 24/7
- Global operations
The network
Vetted once by Aria. Deployed everywhere.
Every contributor passed a live, proctored interview before joining. Nexus matches them to your task by domain, language and measured quality.
Medicine
01Board-certified physicians, nurses and pharmacists for clinical reasoning, safety and preference data.
Law & finance
02Practising lawyers, CPAs and analysts for contracts, regulation, tax and financial reasoning tasks.
STEM & research
03PhDs in mathematics, physics, biology and CS for hard reasoning, proofs and evaluation design.
Software
04Senior engineers for code generation, review, agentic evaluations and environment building.
Matches · Senior Backend Engineer
Ranked by fit- PN
Priya Nair
Staff engineer · ex-Stripe · Berlin
96Aria94 - DK
Daniel Kim
Senior backend · fintech · remote
93Aria91 - AO
Amara Okafor
Platform lead · payments · London
90Aria89 - LM
Lucas Meyer
Backend · distributed systems · Munich
88Aria87
Match rationale · Priya Nair
Weighted on the role brief · updated 2m ago
- Skills, verified by Aria96
- Experience fit92
- Compensation alignment88
- Availability & location100
- Aria interview
- 94 · system design, depth
- References
- 2 of 2 complete
- Comp band
- $195–220k · inside band
- Start
- 4 weeks · notice served
Sourcing · live
How it works
From brief to delivered batch in days.
- 1
Scope the task
Modality, domain, rubric and volume. We turn a one-page brief into a task spec and a pilot batch within days.
- 2
Assemble the pool
Nexus pulls Aria-vetted experts by domain, language and track record. MDs for medicine, JDs for law, PhDs for reasoning.
- 3
Generate and review
Experts produce data in Forge with layered QA: automated checks, peer review and calibration against gold sets.
- 4
Deliver and iterate
Batches ship to your bucket in your schema, with agreement metrics and audit trails. Rubrics tighten every cycle.
Pilot
Run a pilot batch this month.
Tell us the modality and domain. We'll scope a task spec, assemble the pool and ship a calibrated pilot.