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Where human data
meets world‑class experts.

Hire the from the deepest bench of software engineers for human data in the world.

The Problem

<! --The Problem-->

Advancing frontier models requires world class talent at volume.

Average crowdsourced talent is not enough anymore. G2i built a platform to hire the best talent that has worked with FAANG and high growth startups.

  • Hire talent from FAANG & high growth startups
  • Volume from 100 - 1,000 experts per project
  • From $50 - $500 per hour
  • Onboarding within 72 hours

<! --The Solution-->

Hire ex Coinbase, Vercel, Meta, Google. We have deep technical interview processes to separate the top 1% of software engineers.

  • 01.

    HireSignal AI

    HireSignal AI

    We work with your team to develop upfront questions that expose real gaps fast. No fluff, no guesswork, just clear, early signals on who’s qualified and who’s not.

  • 02.

    2,000+ Tested Experts

    2,000+ Tested Experts

    Every candidate is interviewed by senior engineers who know what great looks like. It’s not just about passing a test, it’s about how they think under pressure.

  • 03.

    Engineering Community Leadership

    Engineering Community Leadership

    We’ve been leading the engineering community through our conferences, AI Engineer Miami and React Miami giving you greater access to top tier engineers.

<! --Extremely high hiring bar-->

Needing 200 software engineers next week is our bread and butter. As human data grows more complex the need for faster turnaround times intensifies.

*/
The Extremely High Hiring Bar
  • 72 Hours To Onboarding
    72 Hours To Onboarding
    You choose the engineers location, price range, seniority, and exact skill set and we’ll build our sourcing process around your needs.
  • Access To FAANG Level Talent
    Access To FAANG Level Talent
    You’ll only be matched with engineers that have strong hiring signal; they meet 80% or more of your specific hiring requirements.
  • Customized Technical Screening
    Customized Technical Screening
    Start with our pool of 2,000+ engineers, product managers, and product designers for immediate matches. We’ll start an external search if there are no perfect matches.
<! --We are focused on depth across through geographies-->

We focus on 3 domains.
Across North America, Latam, and Europe.

Engineering
From Next.js focused frontend engineers to AI or data science, we live and breath eng.
Software Engineers
Infrastructure
Data Science
AI Engineers
Mobile Engineers
Platform Engineers
Cloud Engineers
DevOps / DevEx
Product
Product managers to TPM’s and everywhere in between is in our wheelhouse.
Product Management
Product Design
Design Engineers
Product Leaders
Program Manageers
Brand Design
Data Analyst
Technical Program Manager
Design
From product design to design engineers we have you covered.
Product Design
UX Design
UI Design
UX Research
Design Engineer
Design Systems
Design Leader
Motion Design
<! --Keep Control-->

Different projects require different levels of control. With G2i data teams can choose what to retain control over.

*/
Keep Control
  • Transparent 30% Fee
    Transparent 30% Fee
    Instead of guessing what each engineers is being paid, we’ll provide you with transparent pay rates and charge a management fee instead.
  • Faster Iteration Speed
    Faster Iteration Speed
    Working on your platform means faster iteration speed and tighter feedback loops. We know this results in better data both short and long term.
  • Improve Data Security
    Improve Data Security
    Maintaining data annotation in-house provides greater operational control, transparency and enhanced security over complete outsourcing.
<! --Old School VS New School-->

A black box versus an open box.

Speed
Others

Slower experimentation

Whoever they have on staff is who you get, and they aren’t usually the A team.

G2i

In house iteration speed

We source and screen based on your specific needs which includes niche requirements and timelines.

Security
Others

Off platform data risks

For every $100 you spend, only $40 is going to talent because they have too much middle mgmt.

G2i

Secure data on your platform

For every $100 you spend, $70 is going to talent because we continue to build AI automation.

Quality
Others

Unknown margins

Replacing an underperforming engineer can take months. They need to find a new person in their company or fire the fully employed person.

G2i

Transparent expert pay

Our customer success manager proactively puts underperformers acon PIP’s. While we work with your team to turn around perf, we are already sourcing replacements.

Pricing
Others

Pay per task

Large consulting companies taend to have the same hiring process for the last 20 years.

G2i

Pay per hour, managed

We don’t stop making our hiring process better in partnership with you and will even help you developer hiring infrastructure.

 
<! --Case Studies-->

We want to help fix the language disparity in LLM’s for coding. While SWE Bench (Python) bug resolution rates are as high as 70%, the TypeScript benchmarks are closer to 18%.

Browse our Research

  • Verifying Multi-SWE-bench TypeScript: Quality Analysis of 210 Tasks
    Folder // Research
    Verifying Multi-SWE-bench TypeScript: Quality Analysis of 210 Tasks

    We verified 210 TypeScript benchmark tasks and found that only about 40% provide clear problems with reliable tests leaving 60% with issues such as vague descriptions or flawed tests.

    Read More

    8 min read

  • Analyzing AI Agent Performance on TypeScript Tasks: A Deep Dive
    Folder // Research
    Analyzing AI Agent Performance on TypeScript Tasks: A Deep Dive

    We’re launching a research project to analyze how AI coding agents attempt and fail TypeScript tasks in the Multi-SWE benchmark, where performance is currently weakest. By studying real solution trajectories, we’ll pinpoint common failure causes and inefficiencies to guide better agents and cleaner training data.

    Read More

    3 min read