AI talent.
Employed globally. Deployed to you.
We place ML engineers, research scientists, and data specialists at AI companies building production systems. We employ them as their employer of record in 100+ countries. You direct the work.

Countries with owned employment infrastructure
Typical time to first candidate shortlist
Placements still engaged at 12 months
Client liability for employment compliance
We find the talent. We employ them. You build.
You tell us what you're building and what expertise you need.
We search our network of pre-vetted AI specialists, surface candidates within 48 hours, and handle technical screening.
When you select a candidate, we become their legal employer. We run payroll, withhold taxes, provide benefits, and ensure compliance with local labor law.
You retain full direction over their work. No entity setup. No legal exposure. No HR overhead.
We maintain an active network of ML engineers, data scientists, and AI researchers across 80+ countries. Every candidate has shipped production systems. We screen for technical depth, communication clarity, and timezone fit before they reach you.
We operate employment infrastructure in 100+ jurisdictions. When you hire through us, we're the employer of record. We handle offer letters, onboarding, payroll, statutory benefits, tax withholding, and termination if needed. You're not a co-employer. You have no compliance exposure.
Payroll runs automatically. Benefits stay current with local requirements. We handle expense reimbursement, equipment provisioning, and employment documentation. If local regulations change, we adapt. You don't need to track it.
Scope to start in under two weeks
Role, technical stack, experience level, timezone, start date. A 30-minute call or a detailed brief. Either works.
Within 48 hours, you'll have 3-5 candidates with relevant experience. Each profile includes work history, technical assessment results, and a recorded interview.
Run your own technical process or use ours. When you've made a decision, we move to employment.
Offer letter, background check, contract, onboarding, payroll setup. The candidate starts as our employee, working under your direction. Typical time from selection to start: 5-7 business days.
Specialists across the AI stack
We focus on technical roles that require domain expertise, not generalist staffing.
Training pipelines, model optimization, inference at scale. PyTorch, JAX, distributed training, CUDA.
Novel architectures, frontier capabilities, published work. PhD-level expertise in specific domains.
Experimentation infrastructure, statistical modeling, causal inference. Production analytics systems.
Training data pipelines, annotation workflows, quality assurance. RLHF, preference labeling, red-teaming.
Model serving, monitoring, CI/CD for ML. Kubernetes, Ray, MLflow, feature stores.
LLM integration, RAG systems, agent frameworks. Turning research into products.
We've done this before
Simple pricing. No hidden fees.
From teams we've worked with
"We needed to spin up a data labeling team in Southeast Asia without setting up an entity. Tensais had the infrastructure already in place. We had twelve people onboarded in three weeks."
"Their candidates actually understood our technical requirements. We weren't explaining what fine-tuning meant. That saved us weeks of screening."
"Procurement took two days. They had every document we asked for, formatted correctly, ready to go."