Non Tech Jobs in Web3

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Job Position Company Posted Location Salary Tags

Affine.io

Remote

$140k - $250k

Affine.io

Remote

$18k - $42k

Hype Partners Ltd.

Remote

$86k - $180k

Binance

Taipei, Taiwan

Crypto.com

Hong Kong, Hong Kong

$68k - $90k

Obinex

Los Angeles, CA, United States

$54k - $80k

ZAUBAR

Remote

Robinhood

New York, NY, United States

$94k - $110k

Bitso

Brazil

$68k - $110k

Anchorage Digital

Dubai, United Arab Emirates

$68k - $90k

Anchorage Digital

Singapore, Singapore

$68k - $90k

Scrollio

Remote

$84k - $144k

Scrollio

Remote

$87k - $87k

Public

Remote

$120k - $200k

Affine.io
$140k - $250k
Remote
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About Affine
Affine is building an incentivized RL environment that pays miners for incremental improvements on tasks like program synthesis and coding. Operating on Bittensor's Subnet 120, we’ve created a sybil-proof, decoy-proof, copy-proof, and overfitting-proof mechanism that rewards genuine model improvements. Our vision is to commoditize reasoning—the highest form of intelligence—by directing and aggregating the work of a large, non-permissioned group on RL tasks to break the intelligence sound barrier.

Overview

Affine’s competitive RL network depends on robust, incentive-aligned protocols that cannot be gamed. As a Protocol Engineer, you’ll design and implement the cryptographic, validation, and anti-sybil mechanisms that make our reward system trustworthy and tamper-resistant.

Your focus will be on building the rules of the game: incentive structures that drive genuine model improvement, and validation systems that fairly identify dominating models on the pareto frontier.

Responsibilities

  • Design and implement incentive mechanisms that reward genuine model improvement.


  • Build validation systems to detect and prevent gaming strategies, including sybil attacks, copy detection, decoy models, and overfitting.


  • Anticipate adversarial strategies and harden protocol rules against potential exploits.


  • Collaborate with researchers and ML engineers to encode anti-gaming defenses into the protocol itself.


  • Develop incentive loops and validation frameworks that scale with increasing participation while maintaining fairness and decentralization.


Qualifications

  • Strong background in distributed systems, cryptography, or blockchain protocols.


  • Experience with incentive design, mechanism design, or adversarial machine learning.


  • Proficiency in Python and/or Rust, with an emphasis on system-level engineering.


  • Familiarity with reinforcement learning (RL) concepts and validation frameworks.


  • Mindset oriented toward adversarial thinking: anticipating attack vectors and designing defenses.


  • Experience in decentralized or open-network environments is a plus.


Impact

This role is ideal for engineers who think in terms of systems and adversaries. By ensuring Affine’s RL competitions remain fair, decentralized, and self-reinforcing, your work will directly enable the network to continuously push AI capability forward.



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