AI Expert Recruitment
Your AI model is only as smart
as the experts behind it
- We source the right expert for every stage of your model's development.
WHEN TO USE
We source the right expert for every stage of your model's development.
- A unified infrastructure to design, launch, and manage human data workflows at frontier speeds.
RLHF and Preference Data Collection
Practitioners who evaluate and rank model outputs the way a real professional in that domain would, not just by grammatical plausibility.
Supervised Fine-Tuning (SFT) Data Generation
Domain specialists who generate and validate training examples with the contextual depth that determines whether a fine-tuned model holds up in production.
Adversarial Red-Teaming
Active professionals who surface factual errors and domain-specific edge cases that only a practitioner with hands-on experience would catch.
Benchmark Construction and Model Evaluation
Verified experts who assess AI outputs against real professional standards, so evaluation performance translates to production performance.
Instruction Dataset and Prompt Construction
Specialists who author domain-specific Q&A pairs and instruction sets that reflect how real practitioners think and communicate.
Why teams choose Nexus
Built for AI teams who can't afford bad data.
Every feature is designed around one principle — the quality of your model is only as good as the quality of the people training it.
HOW WE WORK
From project brief to expert onboarding, Nexus streamlines expert sourcing for AI training, evaluation, and data-focused workflows.
Step 1
Brief Submission and Feasibility Assessment
Share your model type, domain, task and timeline. Within hours we confirm feasibility and give a realistic delivery estimate.
Model type & domain
Task specification
Feasibility confirmed in hours
Step 2
Expert Sourcing & Credential Verification
Share your model type, domain, task and timeline. Within hours we confirm feasibility and give a delivery estimate.
Step 3
Expert Introduction and Onboarding
Matched experts are introduced within 24 to 48 hours. We manage NDA execution and task briefing so your team can focus on the work.
Case study
Multi-Region AI Expert Sourcing
- U.S. Research Firm — Global AI Adoption Study
Challenge
A U.S. research firm needed input from Heads of Operations, Plant Managers, Digital Transformation Leads, and CIOs implementing AI across five industries and three continents, at a volume and consistency that exceeded internal capacity.
Approach
Nexus verified 75 domain experts across North America, Europe, and Asia-Pacific using a standardized discussion guide. Localization support applied where needed. Responses clustered by vertical and geography to surface sector-specific patterns.
Outcome
70+ expert engagements completed across three regions in under three weeks. Structured outputs fed directly into the client's global report, saving an estimated 100 internal hours.
70+
Expert Engagements
70+
Regions Covered
< 3 weeks
Project Compeleted
100+
Internal Hours Saved
Tell us what your model needs
- Share your project details and a member of our team will confirm feasibility within hours.