The human layer
behind
smarter AI
Aiyana Tech is the trusted human-in-the-loop partner for frontier AI labs and enterprise model teams. We design evaluations, write reference data, and refine model behavior — at the quality bar real research demands.
"Explain the trade-offs between retrieval-augmented generation and fine-tuning for a domain-specific medical assistant."
RAG offers up-to-date grounding with auditable citations, but adds latency and depends on retrieval quality...
Fine-tuning bakes domain idiom into the weights for crisp, low-latency answers — best when corpora are stable and licensed...
- Cite primary sources
- Flag clinical claims
- No prescriptive advice
- Discuss latency budget
Powering training pipelines at
Human signal at machine scale
From red-teaming a frontier model to writing thousands of expert reference answers — we build the human pipeline labs need to ship safer, sharper AI.
Evaluation & rating
Structured comparisons, Likert and rubric scoring, and continuous preference data — calibrated by inter-rater agreement above κ = 0.85.
Expert authoring
MDs, lawyers, PhDs, engineers and writers craft gold-standard responses for domains where generic crowds simply can't deliver.
Red-teaming & safety
Adversarial probing, jailbreak audits, and policy stress-tests by trained safety specialists — with full chain-of-evidence reporting.
Agentic & tool-use
Multi-step task design and evaluation for agentic models — browser, code, planning, and tool-use traces graded by domain experts.
Rubric & taxonomy design
Senior reviewers co-design the rubrics, taxonomies and gold-set methodology that make your evaluations reproducible and defensible.
Multilingual coverage
Native speakers across 40+ languages — including low-resource locales — for translation quality, cultural nuance and global rollouts.
A pipeline built for research-grade quality
Every project flows through a deliberate, instrumented pipeline — so quality isn't accidental, it's measured.
Scoping
We sit with your research team to map model behaviors, define rubrics, and align on quality gates.
Talent matching
We assemble a vetted cohort — domain experts, multilingual reviewers, safety specialists — calibrated to the task.
Production
Workers complete tasks in our QA-instrumented platform with live agreement, gold checks, and reviewer escalation.
Delivery
Clean, schema-typed data lands in your bucket with full audit trail, agreement metrics, and a debrief.
Get paid to teach the next generation of AI.
If you're a domain expert — a writer, engineer, scientist, lawyer, doctor or polyglot — your judgment is exactly what frontier models need. Remote, flexible, and well-compensated work directly with the labs shaping AI.
- Work from anywhere, set your own hours
- Competitive pay in USD, paid weekly
- Real impact on real, deployed models
- Grow into senior reviewer & project lead roles
"I came in writing reference answers in clinical reasoning. Two years later I lead a 40-person team auditing medical safety for one of the largest models in the world. Best decision I've made."
Common questions about working with us
The short answers — see the full FAQ if you want more depth.
Do I need an AI/ML background?
No. We hire domain experts — clinicians, lawyers, writers, engineers, translators. We train you on the rest.
How much can I earn?
Most experts earn $25–$55/hr depending on domain and seniority. Senior reviewers and leads earn meaningfully more.
Is it really remote?
Yes — 100% remote. All you need is a laptop and a stable internet connection.
What does the assessment look like?
A short calibration task in your domain, followed by a brief async interview. Most candidates hear back within a week.
Build alongside the people shaping AI.
Whether you're a lab seeking a high-trust training partner, or an expert ready to put your judgment to work — let's talk.