Train smarter modelswith vetted human expertise
Index.dev provides the STEM specialists, RLFH experts, red teamers, ML engineers, annotators, and evaluators you need to train, fine-tune, and deploy your AI. From early-stage data prep to production-ready models, we help you handle the entire lifecycle.
Speed
~7 days average from brief to deployed team, drawing from a 2.5M+ pre-screened talent database
Depth
7,000+ vetted AI, STEM, and domain specialists trained across RLHF, RAG, LLMs, agents & evals
Quality
97% first-match success rate with specialists experienced across 20+ AI training domains
Scale
Start with one specialist or build a full team, with flexible support as your AI projects grow
Trusted by AI labs and enterprise teams building the next generation of AI
Every layer of the AI training stack
Evals, benchmarks, datasets, fine-tuning, and the specialists to run it all.
Train & Refine AI
The data, evals, and fine-tuning your model needs to get better.
We help you build the datasets, evaluations, and training workflows that make your models more accurate and reliable, from data creation to model testing, across domains and modalities.
High-quality instruction-response pairs across 20+ domains, built by doctors, lawyers, engineers, and researchers.
Simple, transparent, and fast.
From first call to working specialist in 7 days.
Scope & Match:
Tell us about your training task, domain, scale, and quality requirements. We'll align on scope and requirements in a single call, then surface a shortlist of vetted candidates from our 2M+ database within 24 hours.
Review & Start:
Look through vetted profiles with credentials, sample work, and assessment scores. Pick who fits, NDAs and contracts are signed, and your specialist slots straight into your tools and workflows.
Grow & Adapt:
As your model evolves, we scale with you. Add specialists, shift domains, or expand the team — without starting the process over. Weekly reporting on quality and throughput keeps everything on track.
World-class talent for high-stakes AI.
Whether you're building your first benchmark or scaling to millions of users, we put the right people on your team.
Build training pipelines, model architecture, and optimization systems.
Anatol M.
ML Engineer
ETH Zurich
Built distributed training systems for large-scale foundation models.
Specializes in scalable model optimization and deployment workflows.
Gabriel V.
ML Engineer
Technical University of Munich
Developed fine-tuning infrastructure for production AI and LLM systems.
Focuses on efficient GPU utilization and training strategies.
Maya K.
ML Engineer
Delft University of Technology
Designed automated training pipelines for enterprise foundation models.
Experienced in large-scale experimentation and evaluation frameworks.
Carefully chosen.Rigorously verified.
Most platforms trust applicants to be who they say they are. We verify it — every time, before anyone starts work.
Identity Verified — Twice
Government ID and biometric verification at interview, re-verified on day one of work. The expert who passed your assessment is the expert who shows up.
Live-Proctored Assessments
Every technical evaluation is camera-on, screen-monitored, and proctored. No AI-assisted cheating. No outsourced answers. Just verified skill.
Independently Verified Credentials
Education, employment, certifications, and licensure all checked through third-party verification before any expert reaches your project.
Domain-Specific Technical Evaluation
Every specialist completes a task designed by senior practitioners in their field. We test for the actual work, not general competence.
Deep expertise across 20+ domains
Covered by specialists who work in these fields, not generalists filling gaps.
Software Engineering
Working developers across 50+ languages and frameworks
Mathematics
Olympiad-level and PhD researchers, pure and applied
Physics, Chemistry, Biology
Graduate and post-doc level scientists
Data Science & ML
Practitioners shipping production ML systems
Looking for something specific?
Tell us your domainThe benchmark for high-stakes AI training
Vetted talent. Real domain depth. A team that scales with your model.
Results from teams shipping AI today
Your data stays yours. Always.
AI training data is among the most sensitive material in your stack. We treat it that way.
SOC 2 Type II. Independently audited. The controls enterprise security teams require.
ISO 27001. Internationally recognized standard for information security management.
HIPAA Compliant. Built for healthcare. Sensitive data handled the way it has to be.
GDPR Compliant. Meets European data protection standards across every engagement.
CCPA & Regional Data Residency. Your data stays in the region you choose, no exceptions.
Need a custom DPA, regional data residency, or air-gapped workflow?
Talk to our enterprise teamClear terms, dedicated team, weekly reporting.
We work through structured, flexible engagements for AI training, so you always know the scope, the team, and how progress is tracked.
Most engagements run 3–12 months. Pricing scales with team size, domain complexity, and SLA requirements.
Get a tailored quote1 in 100
Only the top 1% of STEM and AI applicants make it into our network.
~7 days
From first call to your new specialist ready to start.
97%
First-match success rate across client engagements
Frequently Asked Questions
Ready to scale your training pipeline?
Get the right expertise to move your AI from a research experiment to a production-ready system.