@gabegreenberg: I'm hiring 50 staff software engineers this month to join our team at https://g2i.ai. You'll work with top frontier lab…
Summary
G2i.ai CEO Gabbe Greenberg announced the company is hiring 50 staff software engineers this month to work with frontier AI labs on evals and training datasets, paying $200–$300/hr remotely. G2i positions itself as an engineering layer for AI training, building RL environments and curated evals for top labs.
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Cached at: 10/02/26, 08:45 PM
I’m hiring 50 staff software engineers this month to join our team at https://g2i.ai. You’ll work with top frontier labs doing evals/creating datasets. $200 - $300 /hr. Remote. The work is not easy and it’s tedious, but pays well. Apply here: https://jobs.ashbyhq.com/g2i/becdfa73-ad7f-4920-8456-808cef38ff5d…
G2i.ai
Source: https://www.g2i.ai/
The engineering layer powering AI training.
World-class engineering meets frontier data.
Our Engineers
The hardestAI training problems are staff-level software engineering problems.
Deep Domain Expertise
We turn real software workflows into evals, tasks, rubrics, and training environments.
RL Environments
Custom environments with UI/API parity, tool use, scoring, and telemetry.
Staff-Level Engineer Bench
Vetted senior and staff-level engineers with 10+ years building production systems.
Enterprise-Ready Security
SOC 2 Type II workflows for secure, auditable AI training programs.
Our Benchmarks
Our engineers tackle the hardest coding benchmarks1. We provide thedeepest benchof engineers on the market.
1From SWE Bench Pro to Terminal Bench 2.
Our Products
Frontier level post training expertisein 5 domains.
G2i assembles senior engineering teams for evals, RL environments, agent workflows, and training data programs.
Trusted by the most ambitious AI labs
“The vigilance that G2i consistently shows is second to none. I’ve never seen anything like this – They are always one step ahead.”
Executive at top tier AI lab
Domains/Security Engineers
Security is not optional. SOC 2 Type II.
Enterprise-ready controls, backed by an independent audit. Encryption, monitoring, access reviews, and incident response are documented, tested, and ready for your security review.
Products/RL Environments
RL environments, custom built and high fidelity for your needs
Custom RL environments for the work that matters. Realistic tasks, repeatable scoring, and high-signal agent feedback.
Curated bench of engineers focused on evals to benchmarks
Match the right seniority to every eval. Bring in vetted engineers to design tasks, review outputs, and turn benchmark results into reliable signal.
Feedback loops for better model behavior
We turn every review cycle into better training signal, using expert feedback to improve tasks, rubrics, and model-facing data quality.
/Resources
Reports, analysis, and insights around engineering the future.
Build better models
Start with expert engineering data
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