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Hiring the top 3% of AI engineers — for frontier teams

Engineering
Frontier AI.

OpenTalent connects enterprises and research labs with the world's top 3% of AI-native engineers — vetted for frontier models, RL environments, multimodal systems, and production-grade AI infrastructure.

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Cohire knows the application process at

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Hire AI Talent

Accelerate your roadmap with the top 3% of AI-native engineers and teams.

From ML researchers to applied AI engineers, every OpenTalent professional has been benchmarked against frontier-grade work. Build with people who already know the stack.

Accelerate your team

LLM & foundation models

Pre-training, post-training, RLHF, and evaluation engineers for frontier model work.

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Agentic systems

Tool-use, function-calling, multi-step planning, and orchestration for production agents.

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RL environments

Environment design, reward modeling, and verifier engineering for RL gym pipelines.

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Multimodality

Vision, audio, document, and embodied-AI engineers for image, video, and VLA work.

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ML infrastructure

Training infra, inference optimization, GPU scheduling, and observability at scale.

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Applied AI engineers

Full-stack engineers shipping retrieval, evals, fine-tuned products to real users.

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Data & evals

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

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AI safety & alignment

Researchers and engineers across interpretability, robustness, and policy enforcement.

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Engagement models

Hire individual engineers, or drop in an AI-native pod.

Whether you need one specialist to plug a gap or a full pod to ship a model in 90 days, OpenTalent assembles the team around your stack and your timeline.

Individual hires

Match with a single, hand-picked AI engineer in under four days. Hourly, part-time, or full-time — scale up or down with no commitment.

Hire an engineer →

AI-native pods

A team of researchers, engineers, and TPMs integrated into your stack. Ideal for fine-tuning runs, eval pipelines, and shipping AI features end-to-end.

Build a pod →

By the numbers

The world's most rigorous AI talent network.

40K+
Vetted AI engineer profiles in our network.
3%
Acceptance rate after our 5-stage screening.
97%
Trial-to-hire success rate with matched engineers.
~4 days
Average time from scope to first start date.

The screening process

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

Five rigorous stages designed to evaluate frontier-grade ability: communication, deep technical knowledge, real-world execution, and continued excellence on the work.

01 / Stage

Language & reasoning

Communication, ML literacy, and structured-problem-solving baseline.

28.6%
02 / Stage

Deep skill review

Hands-on assessments across ML, LLMs, infra, and applied AI domains.

11.2%
03 / Stage

Real-world project

A 13-day frontier-style project — fine-tune, build an agent, or design an eval.

6.4%
04 / Stage

Live panel

Expert panel exercises probing depth, judgment, and creativity under pressure.

3.6%
05 / Stage

Continued excellence

Engagement reviews keep the bar high. Membership is earned every project.

3.0%

Trusted by industry leaders

Built for the teams shipping at the frontier.

"We needed an RL environments engineer who could move from spec to shipping in two weeks. OpenTalent had three candidates on a call within 72 hours."
Research LeadFrontier AI Lab
"The bar for technical depth here is higher than any platform we've used. Every engineer we've hired has shipped production AI work within the trial period."
VP of EngineeringSeries C AI startup
"They understood our eval pipeline, our infra, and our model strategy on the first call. No ramp-up. That's the difference."
Senior Technical LeaderFortune 100 enterprise
"OpenTalent's pod model replaced what would have been a 9-month hiring cycle. We were running fine-tuning experiments in production inside a month."
Head of AIGlobal fintech

In conversation with

The minds shaping the frontier.

Talks, essays, and interviews from the researchers and operators defining where AI goes next — featured on the OpenTalent research channel.

AS

Andrej Saxena

Distinguished Researcher · Frontier Lab

On the next decade of post-training: where RL environments, verifier design, and synthetic data converge to unlock new capabilities.

Watch the talk →
RM

Ria Menon

VP of AI · Global Enterprise

How the world's largest enterprises are moving from pilots to production — and why AI-native talent is the bottleneck no one talks about.

Watch the talk →
VK

Vikram Kapoor

CTO · AI-native Startup

Inside a 200-person AI org: hiring, evals, and the engineering culture that ships frontier products in months, not years.

Watch the talk →

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

Partner with OpenTalent to deploy AI-native engineers, build pods, and accelerate your roadmap to the frontier.

Get startedTalk to an expert
OpenTalent

The Cohire for AI engineers — and the hiring partner for the teams building frontier intelligence.

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