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DeepSeek is hiring for operations and maintenance with a monthly salary of 30,000, while regular duty staff only earn five to six thousand

According to an interview with "Daily People," a data center operations engineer who has worked in Ulanqab, Inner Mongolia for 5 years stated that local AI data centers are still under large-scale construction, but the hiring demand at his company has significantly decreased. The company hired thousands of people in 2025, but by the time of the interview in 2026, only 3 new hires had been made.The engineer, who goes by the pseudonym Zhang Liwei, originally worked on an assembly line at an automobile factory. When he first switched careers, his internship monthly salary was 2,000 yuan, which increased to 4,500 yuan after graduation. After 5 years of job hopping and promotions, he currently earns over 10,000 yuan per month. In April of this year, DeepSeek was hiring senior operations engineers and senior delivery managers for its data center in Ulanqab, offering a monthly salary of 15,000 to 30,000 yuan, with 14 months' salary. These positions require extensive experience in data center operations and project management. According to Zhang Liwei's observations, local ordinary duty staff still earn around 5,000 to 6,000 yuan per month, while assistant engineers can earn over 10,000 yuan.The entry barriers are also rising. In 2024, some data centers were still hiring newcomers without relevant professional backgrounds; however, this year, some companies have required candidates to have a relevant degree and work experience, and there is even a 35-year age limit for basic duty positions. Zhang Liwei mentioned that a former colleague has started a training class for operations, charging nearly 20,000 yuan per student, and classes only start when there are 60 students, with a single session fee approaching 1.2 million yuan. The so-called internal recommendations are mostly just to help students secure an interview opportunity.

Big tech companies face a salary inversion for AI talent, with top fresh graduates earning up to 5 million annually

According to Beating reports, Lei Feng Network interviewed several headhunters and found that major domestic internet companies are tightening their recruitment quotas but are still willing to break salary limits for top AI talents. Headhunters revealed that this year, some outstanding fresh graduates in foundational model directions have annual packages reaching 2 million yuan; ByteDance Seed and Xiaohongshu's highest offers have reached 4 million to 5 million yuan, while Baidu is in the range of 2 million to 3 million yuan.The high salaries for talent are exacerbating internal salary discrepancies. An internet professional stated that some employees in foundational models have lower job levels but earn more than their higher-level colleagues. Similar situations emerged as early as 2017; an experienced engineer recalled that at that time, a returnee fresh graduate who joined a year later and was at a lower job level had a monthly salary 10,000 yuan higher than his own, leading to a monthly turnover of about 10% in a team of over thirty people.Headhunters noted that application-side positions are shrinking, while foundational model teams still lack individuals who can truly train large models. Coding Agents, model evaluation, pre-training data, and Agent infrastructure have become new focal points for talent acquisition; DeepSeek has recently been expanding its recruitment for backend developers and Agent Infra engineers, while the hiring enthusiasm in areas like AI search has decreased. Companies are not only looking at academic qualifications and papers but also place greater importance on whether candidates have actually trained large-scale models in leading teams; the salaries and responsibilities of scarce talents can be negotiated separately, while competition among ordinary AI job seekers is more intense.

GMX is publicly recruiting a CEO, with a base salary plus token incentives for a total annual salary of up to approximately $700,000

GMX Labs has released a proposal for an upgrade to its leadership structure, which has been approved by DAO governance voting with 96.42% in favor. The proposal points out that as the team expands and competition in the perpetual DEX space intensifies, GMX Labs' early flat, founder-driven organizational structure is no longer sustainable and needs to transition to a clearer and more accountable traditional leadership structure.The proposal announces the introduction of a CEO through a public recruitment process, with candidates drawn from DeFi, CeFi, traditional finance, and the technology industry. The goal is to complete the recruitment and onboarding by April 2026, and to complete the organizational restructuring and submit a new contributor token allocation plan aligned with performance to the DAO by June. The CEO's responsibilities include setting the strategic direction for GMX Labs, establishing a functional leadership team, strengthening partnerships, and representing GMX Labs in industry events.In terms of compensation, the CEO's base salary will be between $150,000 and $200,000 per year, paid in stablecoins; performance incentives will be denominated in GMX tokens and directly linked to the growth of protocol fees, with the current annual protocol fee baseline being approximately $60 million. A 50% increase in fees will yield partial rewards, while a 100% increase to about $120 million will yield the full base reward pool of 40,000 GMX tokens. A 125% increase to about $135 million will additionally grant 10,000 GMX as a special reward. The GMX tokens received will also be adjusted by 0.5 to 1.5 times based on the 30-day average price of GMX, with an annual token compensation cap of 75,000 GMX. Of the performance rewards, 25% will be unlocked immediately upon meeting targets, while the remaining 75% will vest linearly over 24 months, with unvested portions forfeited upon early departure.During the transition period, an interim leadership committee composed of members X, Coin, B, and Kal will be responsible for maintaining operations, advancing the existing roadmap, and leading the search for the CEO.
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