
The human signal behind better AI models
RemoteWise recruits, trains and manages professional taskers who work inside contracted AI training platforms — producing the preference data, demonstrations, adversarial tests and annotations that make frontier models reliable.
$0+
Total Revenue Generated
0+
Tasks delivered to date
0.0%
Average QA agreement
A data partner built for how model training actually breaks
Programmes rarely fail because people can't label. They fail on ambiguous rubrics, unmanaged access, unmeasured drift and workforce churn. We engineer against all four.
US governance, Kenyan delivery
Contracting, compliance and programme strategy in San Diego, California. Recruitment, production and QA in Westlands, Nairobi — 18+ hours of daily coverage across both desks.
Contracted platform access
We hold audited vendor access levels on the AI training platforms our clients run. Seats are named, provisioned per project and revoked automatically on roll-off.
Measured, not promised
Gold tasks, blind overlap and reviewer calibration produce agreement statistics you can inspect. We contract on acceptance thresholds, and rework below them at our cost.
Expertise on demand
Credential-verified clinicians, engineers, lawyers and linguists sit on an expert bench for frontier-difficulty prompts generalist taskers can't reliably score.
Two offices, one continuous delivery day
Headquarters
San Diego, California · USA
Client contracting, platform access governance, security and compliance review, programme strategy and research liaison.
09:00–18:00 PT
Operations hub
Westlands, Nairobi · Kenya
Recruitment, certification training, live production queues, quality assurance, reviewer calibration and secure-room delivery.
07:00–22:00 EAT
What partners tell us
The calibration pilot alone paid for itself. We found two rubric dimensions that were silently mixing constructs and would have poisoned six months of reward-model data.
Research lead, frontier LLM lab
RemoteWise absorbed a 3x volume surge in nine days without our agreement scores moving. That has never happened with a vendor before.
Head of data operations, applied AI product team
Their Swahili and Somali evaluation coverage is the only one we've found that treats register and code-switching as first-class rubric concerns.
Multilingual evaluation manager
Bring us your hardest evaluation problem
Send a rubric, a task sample or just a description of what your model keeps getting wrong. We'll come back with a capacity model and a pilot plan.
Talk to our delivery team