
Figure Acquisition Corp. I (NYSE:FACA) seeks to invest in opportunities where the team can apply their deep knowledge of blockchain, technology, brand and cross sell to meaningfully improve the operating profile and trajectory of a private financial services or fintech company that is ready for the public markets.

Figure Acquisition Corp. I (NYSE:FACA) seeks to invest in opportunities where the team can apply their deep knowledge of blockchain, technology, brand and cross sell to meaningfully improve the operating profile and trajectory of a private financial services or fintech company that is ready for the public markets.
Founded: 2018
Core focus: Blockchain-native fintech for originations, tokenization, and trading of real-world assets (notably HELOCs)
Employees (approx.): 530
Notable partnerships / commitments: Sixth Street $200M joint venture commitment
Inefficient, paper-heavy loan origination and capital markets workflows for consumer lending and asset securitization (including HELOCs).
2018
Fintech / Blockchain / Consumer lending
$70 million
$675 million
Reported post-money valuation $2.6 billion
$1 billion
$200 million
Equity commitment to a joint venture supporting Figure Connect
$355 million
Securitization (FIGRE 2025-HE3) of mortgage assets; rated by S&P across six bond classes
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.
We are looking for Data Labeler to help us in our efforts to annotate and label our data for AI training applications.
Responsibilities
Requirements
This is a one-month contract-to-hire position , with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us.
The US base salary range for this full-time position starts at $30/hr.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.