Programmers Must Read: Job Hunting in Web3, Avoid These Four Types of High-Risk Gambling-Related Platforms

marsbitPublished on 2026-02-25Last updated on 2026-02-25

Abstract

Chinese programmer "Xiao Wang" considers a Web3 career transition but faces job offers involving "perpetual contracts, on-chain gambling, and prediction markets," raising legal concerns. A legal team advises caution, identifying four high-risk platform types that may constitute illegal operations under Chinese law, despite attractive salaries and remote work: 1. **Web3 Gaming Platforms**: Often disguised as decentralized games (GameFi) but operate as on-chain casinos using USDT/ETH as chips, with smart contracts handling bets and payouts. Developers building betting logic, random number generators, or fund pools are considered key technical support in gambling operations. 2. **Perpetual Contract Development**: High-leverage crypto trading platforms (e.g., 150x) where users bet on price directions. Courts increasingly view these as gambling, and developers working on matching engines, liquidation systems, or referral programs face liability. 3. **Prediction Markets**: Framed as financial innovation for event forecasting, they essentially function as binary betting on outcomes (e.g., price movements or macro events). Technologists designing prediction contracts or oracle integrations are seen as enabling gambling mechanisms. 4. **Gambling Payment Platforms**: High-risk payment/clearing services for gambling sites, often masked as "payment solutions" or "USDT gateways." Developers building fiat/crypto deposit/withdrawal systems or currency exchange logic may be implicated i...

Author: Lawyer Shao Shiwei's Team

Xiao Wang is a programmer at a large tech company. In recent years, wanting to break through his professional bottleneck and seek new career possibilities, he began considering a transition to Web3. After communicating with headhunters and seeking referrals from friends in the industry, Xiao Wang received multiple job offers in Web3. The job descriptions (JDs) roughly stated:

Design and develop core prediction market contracts (AMM, liquidity pools, settlement, adjudication models);

Design and develop decentralized applications for gambling games;

Urgently hiring Java engineers, mandatory experience with perpetual contracts, matching systems, etc.

Faced with terms like "perpetual contracts, on-chain gambling, prediction markets," Xiao Wang felt he somewhat understood but also vaguely uneasy: the salary offered by the headhunter was good, significantly higher than his current income, and most importantly, it offered remote work—a lifestyle of a digital nomad he had always yearned for.

But, "Is there domestic risk in this type of work? But even if the project is risky, so what? I'm just a technician; even if something happens, it shouldn't implicate me, right?"... This conflicting psychology kept him in a state of persistent hesitation.

In daily case handling and consultations, Lawyer Shao has found that many job seekers share similar thoughts: attracted by the high salary and remote work on one hand, yet worried about crossing legal red lines on the other. So, for programmers transitioning to Web3, how should they choose job positions? How can they "avoid pitfalls" to stay clear of legal risks?

This article will summarize common types of high-risk projects related to gambling from the perspective of Web3 job seekers, helping you "identify them at a glance." You can compare the job description, project whitepaper, and official website introduction to self-check if the job you're about to take is a Web3 project involved in gambling, avoiding unintentionally working for a "casino."

1. Web3 Gaming Platforms: The Disguised Packaging of On-Chain Gambling

Many Web3 job seekers first encounter this type of position with JDs that often sound very appealing:

Decentralized chain games, fair on-chain gambling, smart contract automatic settlement, USDT instant settlement—at first glance, it seems like a cutting-edge Web3 game (GameFi) or innovative project.

But if you strip away these buzzwords and just look at how the money flows, you'll find the business essence is not that complicated: users use USDT, ETH, or other virtual currencies as chips, choose a game style (dice, roulette, lottery, sports betting, etc.) on the front end, and then write the transaction into a smart contract via a Web3 library; after the contract receives the funds, it determines win/loss based on preset random number + odds rules, then pays profits to the winner from the fund pool, while the platform and the house take a commission.

What's transparent on the chain is only the process; its essence is still organizing an unspecified majority to bet online on wins and losses, with the platform profiting through commissions.

In such projects, the programmer's daily work is often akin to a technical architect for a casino:

Responsible for writing betting contracts, drawing logic, fund pool management; researching on-chain random numbers to ensure apparent fairness; creating various betting interfaces, odds displays, drawing animations; setting up data dashboards in the backend to track wins/losses and agent rebates.

Many technical personnel believe they are just ordinary employees writing code, or that "technology is neutral." However, from the judicial authorities' perspective, technical personnel are identified as key roles providing technical support for the gambling platform.

For example, in the EOS gambling case 【Case: (2023) Su 09 Xing Zhong No. 372】, the involved parties developed a gambling platform named BigGame on the EOS blockchain and accepted bets. The technical personnel were responsible for platform product design, contract code writing, and platform client code writing, and were identified as accomplices in the crime of operating a gambling establishment. Practice has clearly established that using blockchain and other technologies to establish gambling websites and accepting bets from participants using virtual currency as chips constitutes the "operation of a gambling establishment" behavior specified in the second paragraph of Article 303 of the Criminal Law.

2. Perpetual Contract Development: The Gambling Nature of High-Leverage Trading

Another very common type in Web3 job hunting is positions under the guise of digital currency exchanges or contract platforms. JD descriptions include: responsible for perpetual contract matching engine development, participating in high-concurrency trading system design, building risk control and forced liquidation mechanisms... If the job seeker has experience in traditional finance or matching systems, it's easy to interpret this as working on a high-end financial product.

But the reality is often: the platform focuses on high-leverage perpetual contracts. Users use USDT to bet whether a coin's price will rise or fall, configuring up to 150x leverage. If the direction is wrong, they are instantly liquidated to zero, while the platform steadily collects fees and continuously takes a cut from liquidations, settlements, and funding rates.

In Web3 contract projects, programmers are often working on the underlying support of the "trading engine": implementing high-performance matching systems, margin models, liquidation, and forced closing logic; building so-called risk control systems, but more to prevent platform losses; simultaneously cooperating with product design for signal following, agent rebates, partnership systems, and other user acquisition and裂变 mechanisms.

Although similar contract businesses may operate legally in some regions overseas, in publicly available judgments in China, the courts'定性 of such businesses is becoming increasingly clear: high-leverage contracts are in most cases regarded as gambling activities using virtual currency as chips. Relevant technical, operational, and agency personnel find it difficult to completely sever responsibility with "I'm just an employee."

For example, in the CCFOX case 【Case No.: (2024) Ji 06 Xing Zhong No. 10】, the court determined that the virtual currency contract trading provided by the CCFOX platform had speculative and偶然性 characteristics and was not supervised by the state. The CCFOX platform should be identified as a gambling platform. Shen某, as a technical developer for the CCFOX website, responsible for website function development and providing technical services, was identified as an accomplice in the crime of operating a gambling establishment.

3. On-Chain Prediction Markets: Betting Games Under the Guise of Financial Innovation

Another type of seemingly more advanced position in Web3 job hunting involves so-called prediction markets, event contracts, and price prediction games. These platforms like to use flashy narratives:

Using market prices to aggregate collective wisdom, using trading to predict the future, assetizing all events... It sounds like a financial experiment.

But if you actually click into the official website to see the gameplay, you'll find the core logic is still the same set: the platform launches predictions on whether a coin price will reach a certain level by a certain date, whether a macro event will occur (e.g., the possibility of Trump being impeached again before the end of 2026, when the Fed will cut rates, the end time of the Russia-Ukraine conflict, etc.). Users use virtual currency to bet yes or no, rise or fall. Upon expiration, the platform or an oracle determines the result, pays out according to the odds, and the platform takes a cut. This is no different in substance from binary options or betting on big/small, just wrapped in a "prediction market" cloak.

Technical positions are often packaged to sound very technical: designing prediction contract mechanisms, implementing event creation, betting, expiration settlement contract logic, integrating oracles, arbitration systems... But what you are actually doing is still fund pool management, odds curve design, and settlement rules—from a judicial perspective, this is a complete set of 'bet on results, divide the赌资' casino rules.

Judging from the spirit of the Supreme People's Court's guiding Case No. 146, the玩法 of such prediction markets is not本质上 different from the traditional "betting on big/small, winning/losing"玩法. What technicians consider financial innovation projects will most likely be evaluated and handled according to their gambling attributes in domestic judicial practice.

4. Gambling Payment Platforms: High-Risk Payment and Clearing Services

This last category is the one where many Web3 job seekers are most likely to let their guard down, yet it carries extremely high criminal risk: providing the underlying payment system for gambling platforms (i.e., gambling platforms or betting websites) for充值, withdrawal, and exchange.

Some companies often package themselves externally as payment technology, clearing and settlement platforms, or fourth-party payment, focusing on keywords like aggregated payment, cross-border settlement, USDT payment gateways; the team rhetoric claims they are "USDT payment solution or wallet service providers."

If you only look at the work content, it seems like just对接 various payment channels and wallets, all very normal business. But the actual business model is often:

  • Packaging legal payment tools like Alipay, WeChat Pay, and bank cards into an "aggregated channel" and connecting it to overseas gambling websites;

  • Or using USDT, game coins, points as an intermediate medium to help players complete the two-way conversion between RMB and chips;

  • Then using multi-layer accounts, channels, or中转 wallets to "launder" the funds.

In such companies, programmers' daily work often focuses on:

Developing充值/withdrawal systems, integrating fiat and on-chain wallet interfaces, writing currency and chip exchange logic, building transaction流水 and clearing and settlement backends, and even optimizing "pass-through rates" and reducing risk control interceptions.

But from a criminal judicial perspective, these behaviors are often summarized in one sentence: "providing fund settlement and exchange services for gambling websites." For example, in the cross-province arrest case of Web3 wallet company employees previously discussed by Lawyer Shao (➡️《Reflections Triggered by the Cross-Province Arrest Case of a Web3 Programmer: Three Legal Cognitive Blind Spots for Practitioners》), the team where the当事人 worked was investigated because some of its partner merchants were suspected of operating online gambling establishments, leading to employees being taken away for investigation.

5. Lawyer Shao's Advice: Two-Step Self-Check to Stay Away from Legal Risks

Based on the four common types of gambling platforms above, Lawyer Shao's core advice for Web3 job seekers is as follows:

First,刻下 a red line in your mind:凡是 the business essence is "someone uses money to bet on wins and losses, and the platform profits through odds or leverage commissions," regardless of whether it's called contracts, GameFi, prediction markets, or payment technology, it will most likely be treated as a gambling-related project in judicial practice.

When具体 job hunting, you can judge the risk using the "two-step self-check method":

First, look at the platform's overall model (look at the big picture): Carefully study the project whitepaper, official website introduction, and product gameplay. As long as the overall logic is similar to the Web3 gambling platforms, contract gambling, or gambling payment channels described above, be highly vigilant and carefully consider joining.

Then, look at your own job responsibilities (look at the details): Clarify whether the functions you are actually responsible for involve high-risk links such as betting logic, drawing rules, odds models, forced liquidation mechanisms,充值/withdrawal, credit/debit points, or fund clearing and settlement; as long as you are deeply involved, it is difficult to sever responsibility with "I just write code."

If you can identify risks in advance and decisively refuse offers, you can often avoid criminal implication. Once involved in such projects, job seekers often face not just "changing jobs," but the dual代价 of loss of personal freedom and interruption of their professional career.

Related Questions

QWhat are the four types of high-risk gambling-related platforms that Web3 developers should avoid when job hunting?

AThe four types are: 1) Web3 gaming platforms (disguised on-chain gambling), 2) Perpetual contract development platforms (high-leverage trading with gambling essence), 3) On-chain prediction markets (betting games under the guise of financial innovation), and 4) Gambling payment platforms (high-risk payment and settlement services for gambling sites).

QIn the context of Web3 job opportunities, why are perpetual contract development positions considered high-risk?

APerpetual contract development is high-risk because these platforms often offer high-leverage trading (e.g., up to 150x) where users bet on cryptocurrency price movements. In Chinese judicial practice, such activities are frequently classified as gambling using virtual currencies as chips, and technical staff involved in developing matching systems, liquidation logic, or risk controls can be held liable as accomplices in operating a gambling establishment.

QHow can a Web3 job seeker identify if a 'prediction market' platform is essentially a gambling operation?

AA prediction market platform is likely a gambling operation if its core activity involves users betting virtual currencies on outcomes (e.g., price movements or event results) with payouts determined by odds, and the platform profits by taking a cut. Despite being marketed as 'financial innovation' or 'collective intelligence aggregation,' it functions similarly to betting on binary outcomes, which is treated as gambling in Chinese judicial rulings.

QWhat is the 'two-step self-check method' recommended for Web3 developers to avoid legal risks when considering job offers?

AThe two-step self-check method involves: 1) Examining the platform's overall model: Review the whitepaper, official website, and product mechanics—if the logic aligns with gambling-like operations (e.g., betting on outcomes with platform profit from odds/leverage), be highly cautious. 2) Reviewing personal job responsibilities: Assess if the role involves high-risk functions like developing betting logic, payout rules, odds models, liquidation mechanisms, or payment settlement systems for gambling-related activities.

QWhy might developers working on payment systems for Web3 platforms face severe legal consequences, even if they are not directly involved in gambling operations?

ADevelopers working on payment systems (e.g., deposit/withdrawal interfaces, currency exchange logic, or transaction clearing) for platforms later identified as gambling sites can be legally implicated as providing essential financial settlement services for gambling. Under Chinese law, such support is often interpreted as aiding gambling operations, leading to potential criminal charges as accomplices, regardless of claiming 'just writing code' or technical neutrality.

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Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

501 Total ViewsPublished 2025.01.14Updated 2025.01.14

What is AGENT S

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