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Why Top 3%?

We're building the world's most rigorous network of AI-native engineers -- for the teams shipping frontier models, agents, and infrastructure. Of every hundred applicants, fewer than three make it through. This is how.

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Cohire knows the application process at

AnthropicNVIDIAOpenAIVercelDatabricksPerplexityScale AIMistralCohereRunwaySarvamFractal

The Screening Process

Only the top 3% of AI engineers join the network.

Each applicant moves through a five-stage process designed to evaluate frontier-grade ability: communication, deep technical knowledge, real-world execution, and continued excellence on the work. The full process takes 3-8 weeks.

28.6%
Stage 01Language & reasoning
11.2%
Stage 02Deep skill review
6.4%
Stage 03Real-world project
3.6%
Stage 04Live panel
3.0%
Stage 05Continued excellence
01

Language & reasoning

A structured interview evaluating English fluency, communication clarity, ML literacy, and structured problem-solving. We look for engineers who can think rigorously and explain their work to senior researchers and stakeholders.

02

Deep skill review

Hands-on technical assessments across the engineer's chosen domain -- pre-training, post-training, agents, RL environments, infra, multimodality, or applied AI. Only candidates with exceptional results advance.

03

Real-world project

A 13-day frontier-style project: fine-tune a model, build an evaluation pipeline, design an RL environment, or ship an agent. The brief is deliberately open-ended -- judgment and taste matter as much as execution.

04

Live panel

An expert panel -- typically two senior practitioners from frontier labs -- probes depth, judgment, and creativity under pressure with live exercises. Strong written work earns the panel; the panel earns the offer.

05

Continued excellence

Membership is earned, not granted. Every engagement is reviewed. Engineers who don't maintain the bar exit the network -- that's how it stays a network worth being part of.

“
We've hired through a lot of channels. OpenTalent is the only one where every engineer we spoke to was genuinely exceptional -- not just technically, but in how they thought about problems.

Engineering Lead -- Series B AI infrastructure company

By the numbers

The world's most rigorous AI talent network.

Five years of investment in vetting, pipelines, and partnerships across the frontier AI ecosystem.

40K+

Vetted AI engineer profiles in our network

3%

Acceptance rate after our 5-stage screening

97%

Trial-to-hire success with matched engineers

~4d

Average time from scope to first start date

The Top 3%

An elite global network of AI builders.

Our network includes pre-training and post-training researchers, agent and RL specialists, ML infrastructure engineers, multimodality experts, and applied AI engineers who've shipped production systems at frontier labs and Fortune 500s.

LLM & Foundation Models

Pre-training & post-training

RLHF, SFT, evaluation, and inference engineers for frontier-grade model work.

Agentic Systems

Tool-use & orchestration

Function-calling, multi-step planning, and production agent pipelines.

RL Environments

Environment & reward design

Verifier engineering, reward modeling, and RL gym pipelines.

Multimodality

Vision, audio & VLA

Image, video, document, and embodied-AI engineers shipping at scale.

ML Infrastructure

Training & inference at scale

GPU scheduling, distributed training, and observability for AI workloads.

Applied AI

Retrieval, evals & products

Full-stack engineers shipping fine-tuned AI products to real users.

Data & Evals

Curation & benchmarks

SFT/RLHF data curation, eval design, and red-teaming specialists.

Safety & Alignment

Interpretability & robustness

Researchers and engineers across alignment, policy enforcement, and red-teaming.

AI-Native Pods

Full teams, plugged in

Researchers, engineers, and TPMs integrated into your stack and timeline.

“
The screening process was the most rigorous I've been through -- harder than most frontier lab interviews. That's exactly why I trust the network.

Senior ML Engineer -- OpenTalent network member

Hire the top 3% of AI engineers -- in four days.

Match with a hand-picked AI engineer or build a full AI-native pod. We'll have candidates on a call in 72 hours.

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