2026中国大陆AI人才薪资指南

20262026AITalentLandscape&+2Ocountriesacross4continents1M+oftalentinourglobaldatabaseC3talentsearchcentrescustomersofallsizesandinallsectorsofactivitypotentialcandidatesreachedeachmonthonsocialnetworkssince2013,theMorganphilipsGrouphasbeenreinventingthecodesoftalentacquisitionandmanagementconsultingbyofferingarangeofinnovativeservices,224424422026AITalentLandscape&Introductionwhatwillthefutureofworklookthatbetween2025and2030,92millionjobsworldwideareexpectedtobedisplacedorsignificantlyautomated,while170millionnewrolesareprojectedtobecreated,relyingheavilyonglobalupskillingefforts.HalfofemployersplantoreorienttheirbusinessinresponsetoAl,two-thirdsplantohiretalentwithspecificAlskills,while40%anticipatereducingtheirworkforcewhereAlcanautomatetasks.Goldmansachspredictsthat2026willbetheyearAlshiftsfromatoolthatenhancesproductivitytoonethatdirectlyreplacesworkers.About25%ofallcurrentworkhourscouldbeautomatedbyAl,and67%oftheusworkforcewillbedisplaced.Buttheimpactislikelytobetransitoryasnewjobopportunitiescreatedbythetechnologyultimatelyputpeopletoworkinothercapacities.Historyshowsthatnewtechnologyoftenreplacessomejobsbutalsocreatesnewones.AndAlwillbenodifferent.ASAlmodelsbecomelargerandmoreactive,demandhasincreasedsignificantlytothebusinessesthatprovidetheinfrastructuretorunAlandthespecializedservicestointegrateit.Theyincludesemiconductors&Fiberoptics,Electronics/HardwareManufacturing,power,Energy,andconstructionsforGigawattscaleAIFactories.NewapplicationsanddemandsweregeneratedinthesectorsofHealthcare,Financialservices,ICT,Robotics,Manufacturing,Retail,tonameafew.InaddcareersinareaslikeAlmanagement,systemtraining,datagovernance,creativefields,technologysupport,andAgent-as-a-service(Aaas).在AI时代未来的工作会是什么样子？世界经济论坛（WEF）在其《2025年未来就业报告》中预估2025至2030年间，全球预计将有9,200万个工作被AI取代或实现高度自动化，而若是人类能够努力提升技能，则有1.7亿个新的就业机会可能被创造出来。一半的雇主计划调整业务方向应对AI时代，三分之二的雇主计划招募具备特定人工智慧技能的人才，而40%的雇主打算在AI可自动完成的工作里盘点人力，缩减编制。高盛预测，2026年将是人工智慧从提高生产力的工具，转变为直接取代人力的转折点。目前在人类的工作中约25%工时的产出可以被AI自动化，6%至7%在美国的劳动力将因此失业。但这种影响可能是暂时的，因为新的科技会创造新的就业机会，最终会让人们从事其他工作。历史显示新技术往往会取代部分工作，但同时也会创造新的就业机会，AI也不例外。随着AI模型的规模与功能日益强大，对于提供AI运作的基础设施和整合相关服务的需求也显著增长，带动了半导体，光纤，和电子制造业的成长，加大对于电力、能源，和建设盖瓦级AI工厂的需求。诸多产业如医疗保健、金融服务、资通讯、机器人、制造业、零售业等亦相继出现新的应用。此外AI可望催生新兴的职业，如人工智慧管理、系统训练、资料治理、创意领域、技术支援以及代理即服务（AaaS）。2026AITalentLandscape&SalaryGuidedescribedthetransformativeimpactofAlusingthemetaphorofa"five-layercake."Inhisview,Alisnotasingletechnologybutastackofinterconnectedlayers:energy,chipsandcomputinginfrastructure,cloudanddatacenters,AImodelssuchaschatGPT,Gemini,andclaude,andfinallytheapplicationlayerwherebusinessesacrossmanyindustriesultimatelycaptureeconomicvalue.webelievethissameframeworkcanalsobeappliedtojobanalysis.Accordingly,thissalaryguidegoesbeyondcoreAltechnicalrolestoalsohighlightthehighdemandpositionsthatsupporttheglobalexpansionofAlinfrastructure.Thereportdrawsondataandresearchfromourproprietarydatabase,aswellasinsightsgatheredfromvariousjobboardsandprofessionalnetworks.Itcoversthefollowingtopicsandjobfamilies.比喻来描述AI的变革性影响。他认为人工智慧联的多个层级构成：能源、晶片和运算基础设如ChatGPT、Gemini和Claude等A体与基础设施的高需求职位。报告的数据和研究来2026AITalentLandscape&•••••AI产品经理（平台/AI应用）计算机视觉工程师（工业检测）2026AITalentLandscape&2026AITalentLandscape&中国大陆已成为亚洲最具活力的AI应用与产业转型市场之一，这主要得益于其庞大的数字平台生态、完整的制造业基础，以及快速发展的智能汽车产业。与由单一行业主导的市场不同，中国的AI生态由消费互联网平台、产业升级、先进计算与自动驾驶系统共同驱动，从而带来广泛且持续的人才需求。与此同时，政府持续推进“人工智能+”行动，也正加快AI在制造、医疗、交通等重点领域的落地。在中国，AI的应用已不再停留于试验阶段。截至2025年12月，全国生成式AI用户使用率已达到42.8%，用户规模达6.02亿，反映出AI工具正快速融入日常生活与各类生产场景。与此同时，市场也正从通用型应用逐步转向更具行业针对性的解决方案，尤其体现在平台业务、智能制造和智能汽车等领域。从企业招聘需求来看，当前最活跃的方向主要集中在三大领域。首先，大型互联网公司与AI平台企业持续扩充大模型、推荐算法、AI基础设施及产品创新相关团队。其次，随着智能制造不断推进，制造企业正加大对计算机视觉、机器人和工厂智能化能力的投入。官方数据显示，全国目前已建成近1万家数字化车间和智能工厂，其中超过400家为国家级智能制造示范工厂。第三，汽车与新能源汽车产业生态正持续带动自动驾驶、智能座舱和边缘计算等方向的AI人才需求，智能网联汽车相关产业链也在不断完善。与此同时，先进计算及半导体相关人才在中国同样具有重要战略意义。尤其体现在AI芯片设计、嵌入式AI以及系统级优化等方向。但与台湾作为全球半导体制造重镇的定位不同，中国市场的人才需求更集中在AI系统开发、产业场景落地及应用层创新。这也使得企业越来越重视复合型人才，即同时具备机器学习能力与制造、汽车出行或大规模数字产品经验的人选。随着市场逐步成熟，中国大陆的AI人才竞争也正变得更加聚焦与务实。企业比以往更看重候选人是否能够推动实际业务成果、适应复杂数据环境，并支持从模型开发走向规模化部署。这一趋势预计将在2026年继续成为中国AI招聘市场的重要特征。High-demandHigh-demandJobsinAIPlatforms,Internet&ConsumerTechnologyLLMEngineer/AIAlgorithmEngineerJobFamily:LargeLanguageModels,NLP,DeepLearning,ModelFinetuning,RAGLLMEngineersdevelop,finetuneanddeploylargelanguagemodelsforsearch,assistants,contentgenerationandenterpriseAlapplications.Hiringremainsstrongacrossinternetplatforms,Alnativestartupsandcloudecosystems.Demandisshiftingfromgenericmodelexperimentationtodomainadaptation,inferenceefficiencyandproductiondeployment.china'smodelecosystemreached1,509releasedlargemodelsbyJuly2025,whichcontinuestosupportdemandforLLMengineeringtalent.相关职位:大语言模型、自然语言处理、深度学习大语言模型工程师负责开发、微调并部署大模型，用于搜索、智能助手、内容生成及企业级AI应用。该岗位在互联网平台、大模型创业公司和云生态中需求持续旺盛。企业关注点正从通用模型试验转向行业化适配、推理效率和生产环境落地。到2025年7月，中个大模型，进一步带动了LLM工程师需求。IndustrysectorEntry-to-MidLevelsenior/Lead(8+years)InternetplatformRMB6OOK90OKRMB1.1MRMB1.8M+Alstartups&FoundationModelRMB650OK95OKRMB1.2MmmRMB2.OM+cloud/EnterpriseAIvendorsRMB550K85OKRMB1.OMRMB1.6MRecommendationAlgorithmEngineersdevelopmachinelearningmodelsthatdeliverpersonalizedcontent,productrecommendationsandtargetedadvertising.Thesemodelsarecriticaltouserengagementandrevenuegenerationacrossdigitalplatforms.RecommendationsystemsremainoneofthemostcommerciallyimportantAltechnologiesinchina'sinterneteconomy.MajortechnologycompaniescontinuetoinvestheavilyinalgorithmteamstoimproveuserengagementmetricssuchascTR,retentionandconversion.相关职位:推荐系统、排序算法、召回模型、推荐算法工程师负责开发用于个性化内容推荐、商品推荐以及广告精准投放的机器学习模型，这些算法在互联网平台的用户增长和商业化体系中发挥核心作用。推荐系统仍是中国互联网经济中最具商业价值的AI技术之一。大型互联网公司持续加大算法团队投入，以提升点击率、用户留存率及转化率等核心指标。content/shortcontent/shortvideoplatformsRRMB550K85OKRRMB1.OM1.6MRetailTechnologyRMB45OK7OOKRMB85OK1.3MAIProductManagerAIProductManager(AIPlatforms/ConsumerAI)JobFamily:productManagement,AlApplications,platformstrategy,Dataproducts,GrowthAnalyticsAlproductManagersdefineAlproductstrategies,translatealgorithmcapabilitiesintouserfacingapplicationsandcoordinatecrossfunctionalteamstolaunchAldrivendigitalproducts.withtheriseofAlnativeapplicationsandintelligentassistants,demandforproductmanagerswithbothtechnicalunderstandingandcommercialawarenesshasincreasedsignificantly.TheserolesareespeciallyimportantininternetplatformsandAlstartups.AI产品经理负责制定AI产品战略，将算法能力转化为用户可用的产品功能，并协调算法、工程与业务团队推动AI产品的开发和上线。随着AI原生应用和智能助手产品的兴起，具备技术理解能力与商业洞察力的产品经理需求明显增加。互联网平台和AI创业公司对该岗位需求尤为旺盛。IndustrysectorEntry-toMidLevelsenior/Lead(8+yrs)InternetplatformsRMB45OK70OKRMB850OK1.4MAl-nativeApplicationsRMB50OK8OOKRMB90OKmm1.5MEnterprisesoftwareRMB4OOK65OKRMB8OOK1.2MAIInfrastructureEngineerJobFamily:MLOPSLLMOPS,DistributedTrainingsystems,AIplatforms,cloudInfrastructureAlInfrastructureEngineersbuildandmaintainlargescalesystemsusedformodeltraining,deploymentandmonitoring.TheirworkensuresreliableAlproductionenvironmentsandscalablecomputinginfrastructure.AscompaniesmovefromexperimentalAldevelopmenttoproductiondeployment,demandforinfrastructureengineerscapableofmanagingdistributedtrainingsystemsandmodeldeploymentpipelinescontinuestogrow.AI基础设施工程师负责构建和维护支持模型训练、部署和监控的大规模系统，确保AI平台具备稳定的生产环境和可扩展的计算能力。随着企业逐步从AI实验阶段迈向生产级部署，能够管理分布式训练系统与模型部署平台的基础设施工程师需求持续增加。IndustrysectorMid-Level(7+years)seniorLevel(12+yrs)Internet/cloudplatformsRMB70OK11MFinTechlDigitalplatformsRMB65OK1.OMRMB1.2M1.8MAlstartupsRMB6OOK95OKRMB1.1M1.7MAIAIApplicationEngineerJobFamily:AlsolutionsEngineering,ApplicationIntegration,promptEngineering,AlworkflowDesignAlApplicationEngineersimplementAlcapabilitiesintorealworldsystemsandworkflows.Theybridgethegapbetweenalgorithmdevelopmentandbusinessdeploymentbyintegratingmodelsintopracticalapplications.idlyintegrateAlmodelsintooperationalsystems.AI应用工程师负责将AI模型能力整合到实际业务系统和工作流程中，是连接算法研发与业务落地的重要桥梁。随着“人工智能+”战略推进，各行业对能够快速将AI模型集成到业务系统中的应用工程师需求持续增加。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)EnterprisesoftwareRMB35OK55OKRMB7OOK1.1MAIsolutionvendorsRMB4OOK65OKRMB8OOK1.2MInternetplatformsRMB42OK68OKRMB850Kmm1.3MHigh-DemandHigh-DemandJobsinIntelligentManufacturingJobFamily:computervision,DeepLearning,Imageprocessing,IndustrialAltonnatevisualinspectionacrossmanufacturingprocesses.Thesemodelsareoftendeployedonfactoryproductionlinestoimprovequalitycontrol,reducehumaninspectioncostsandincreaseoperationalefficiency.ndintelligentfactories,drivingadoptionofAlbasedvisualinspectionacrosselectronics,automotiveandsemiconductoradjacentmanufacturing.Asmanufacturersprioritizeyieldimprovementandautomation,demandforindustrialcomputervisionspecialistscontinuestoexpand.工业视觉工程师主要开发用于缺陷检测、质量监控和自动化视觉检测的AI模型。这些模型通常部署在生产线上，用于提升质量控制水平、减少人工检测成本并提高生产效率。该岗位需求与中国制造业数字化升级密切相关。目前全国已建成接近1万家数字化车间和智能工厂，电子制造、汽车制造以及泛半导体产业正在广泛企业持续提升自动化与良率水平，工业视觉算法人才需求持续增长。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)ElectronicsManufacturingRMB35OK55OKRMB7OOK1.1MIndustrialAutomationRMB38OK60OKRMB75OK1.2MAutomotiveManufacturingRMB4OOK65OKRMB8OOK1.3MIndustrialAIArchitectJobFamily:IndustrialAlArchitecture,smartFactorysystems,Dataplatforms,OT/ITIntegrationIndustrialAlArchitectsdesignend-to-endAlsolutionsthatintegrateproductionequipment,industrialdataplatformsandenterpriseITsystems.Theirroleincludesdefiningarchitecturestandards,selectingtechnologyframeworksandensuringscalableAldeploymentacrossmanufacturingenvironnents.Asmanufacturingfirmsexpandsmartfactoryinitiatives,architecturelevelexpertiseisbecomingincreasinglyimportant.Largeindustrialgroupsandtechnologyqualityanalyticsandoperationaloptimization.工业AI架构师负责设计覆盖生产设备、工业数据平台以及企业IT系统的端到端AI解决方案，并制定技术架构标准，确保AI在制造环境中的稳定部署与规模化应用。随着智能工厂项目规模扩大，企业对架构级人才需求明显增加。大型制造企业和工业技术集成商正在寻找能够连接生产设备系性维护、质量分析和生产优化。IndustrysectorEntry-to-MidLevelsenior/Lead(8+years)IndustrialManufacturingRMB6OOKmm90OKRMB1.1M1.7MAutomationlsystemsIntegrationRMB65OK95OKRMB1.2M1.8MsmartEquipmentvendorsRMB550K85OKAIEngineerJobFamily:Robotics,Motionplanning,perceptionsystems,controlAlgorithmsmationsystemsandintelligentmachinery.Theirworkenablesmachinestointeractwithphysicalenvironmentsautonomously.机器人AI工程师负责开发用于工业机器人、物流机器人和智能设备的感知、导航和运动规划算法，使机器人能够自主感知环境并完成复杂任务。随着制造业自动化和物流机器人需求增长，中国机器人产业正在快速发展。AI技术在工厂自动化、仓储物流和服务机器人人才需求不断增加。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)RoboticsManufacturersRMB45OK7OOKRMB90OK1.4MwarehouseAutomationRMB42OK68OKRMB85OKmm1.3MIndustrialEquipmentRMB4OOK65OKRMB8OOKmm1.2MSmartFactoryDataScientistSmartFactoryDataScientistJobFamily:IndustrialAnalytics,predictiveMaintenance,TimeseriesModeling,ManufacturingDatasciencesmartFactoryDatascientistsanalyzemanufacturingandequipmentdatatoimproveproductionyield,reducedowntimeandoptimizeenergyefficiency.Theirworksupportspredictivemaintenanceandoperationaldecisionmakingwithinindustrialenvironments.OTanddigitalmonitoringsystems,demandfordatascientistscapableofworkingwithoperationaldatasetscontinuestogrow.智能工厂数据科学家通过分析生产设备与运营数据，提高良率、降低停机时间并优化能源使用效率，支持预测性维护和生产决策。随着工业物联网和生产监控系统普及，越来越多制造企业开始使用数据分析优化运营表现，对具备制造数据分析能力的数据科学家需求持续增长。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)ElectronicsManufacturingRMB50OKmm80OKRMB90OKmm1.5MAutomotiveManufacturingRMB48OKmm78OKRMB90OKmm1.4MHeavyIndustryRMB42OK7OOKRMB80OK1.2MAIProcessOptimizationEAlprocessoptimizationEngineersdevelopmachinelearningandoptimizationmodelstoimprovemanufacturingprocesses,productionefficiencyandresourceutilization.Theirworkfocusesonanalyzingproductiondata,identifyinginefficienciesandimplementingAldrivensolutionstooptimizethroughput,yieldandoperationalperformance.Asmanufacturersacceleratedigitaltransformationinitiatives,Aldrivenprocessoptimizationisbecomingakeypriorityinsmartfactories.Industriessuchaselectronicsmanufacturing,semiconductors,automotiveandadvancedmaterialsincreasinglydeployAlmodelstooptimizeproductionscheduling,qualitycontrolandAI流程优化工程师通过机器学习与优化算法分析生产数据，识别生产流程中的效率瓶颈，并提出AI驱动的优化方案，以提升产能、良率和资源利用效率。随着制造企业推进智能制造和数字化转型，利用AI技术优化生产流程成为重要应用方向。电子制造、汽车制造、半导体相程优化、质量管理及能源效率提升，因此对既具备AI能力又理解制造流程的人才需求持续增长。AutomotiveManufacturingIndustrialEquipment/MaterialsRMB48OK75OKRMB42OK65OKRMB90OK1.4MRMB8OOK1.2MHigh-demandJobsHigh-demandJobsAutonomousSystems汽车、智能驾驶与智能出行JobFamily:AutonomousDriving,ADAS,planning&control,MachineLearningworkincludesperceptionmodeling,pathplanninganddecisionmakingalgorithmsforintelligentvehicles.china'SEvandintelligentdrivingecosystemcontinuestoexpandrapidly.Thecountryproducedover12millionnewenergyvehiclesannually,creatingsustaineddemandforautonomousdrivingengineersacrossautomakers,technologyfirmsandautomotivesuppliers.相关职位：自动驾驶、ADAS系统、运动自动驾驶算法工程师负责开发支持高级驾驶辅助系统（ADAS）及自动驾驶功能的核心算法，包括环境感知、中国新能源汽车产业持续高速发展，年产销量已超过1200万辆。智工程师。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)EVManufacturersRMB70OKmm11MRMB1.3M2.OM+AutonomousDrivingstartupsRMB8OOKmm1.2MRMB1.5Mmm2.5M+Automotivesuppliers(Tier1)RMB6OOK95OKRMB1.1M1.7MJobFamily:sensorFusion,Multimodalperception,Radar/LiDARIntegration,AutonomoussystemssensorFusionEngineersintegratedatafrommultiplesensorssuchascameras,radarandLiDARtoimproveenvironmentalperceptionanddecisionaccuracyinautonomoussystems.Theirworkisessentialforimprovingsafetyandreliabilityinintelligentvehicles.Asintelligentdrivingsystemsbecomemoreadvanced,sensorfusionhasbecomeacriticalcomponentinautomotiveAldevelopment.DemandremainshighamongEVmanufacturers,autonomousdrivingcompaniesandadvanceddriverassistancesystemsuppliers.相关职位：传感器融合、多模态感知、雷达与激传感器融合工程师负责整合摄像头、毫米波雷达、激光雷达等多源数据，提高自动驾驶系统的环境感知能力和决策准确性。随着智能驾驶系统复杂度不断提升，传感器融合成为自动驾驶技术的关键模块。新能源汽车企业、自动驾驶技术公司及Tier1供应商持续招聘相关工程人才。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)EVManufacturersRMB650OK1.OMRMB1.2M1.8MAutonomousDrivingFirmsRMB7OOK1.1MRMB1.3M2.OMAutomotiveTier1suppliersRMB55OK90OKRMB1.OM1.6MEdgeAIEngineer(Automotive)JobFamily:EdgeAl,Embeddedsystems,Modeloptimization,InvehicleAlDeploymentimprovingmodelefficiencyunderconstraintssuchascomputingpower,latencyandenergyconsumption.Asintelligentvehiclesystemsincreasinglyrelyononboardcomputingratherthancloudprocessing,demandforengineerscapableofoptimizingmodelsforedgedevicesisgrowingrapidlywithintheautomotivesector.车载边缘AI工程师负责将AI模型优化并部署在车载芯片和嵌入式系统中，以满足低延迟、低功耗和实时计算等要求。随着汽车智能化水平提升，越来越多AI功能需要在车端完成计算，因此能够进行模型压缩和嵌入式部署的工程师需求持续增加。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)smartEVManufacturersRMB650OK1.OMRMB1.2M1.9MAutomotiveElectronicsRMB55OK90OKRMB1.OM1.6MAIchiplEmbeddedsystemsFirmsRMB7OOK1.1MRMB1.3M2.OMVehicleDataScientistJobFamily:AutomotiveDataAnalytics,predictiveModeling,MobilityDatasciencevehicleDatascientistsanalyzedatageneratedbyconnectedvehiclestoimprovedrivingalgorithms,optimizefleetmanagementandenhanceuserexperienceinmobilityservices.connectedvehicleecosystemsgeneratemassivevolumesofdrivingdata.Automakersandmobilityplatformsincreasinglyrelyondatascientiststoconvertvehicledataintoinsightsthatimprovesafety,systemperformanceanduserservices.车辆数据科学家负责分析来自智能网联汽车的大规模数据，以优化自动驾驶算法、提升车队管理效率并改善用户出行体验。随着智能网联汽车普及，车辆产生的数据量快速增长。整车厂和出行平台越来越依赖数据科学家从车辆数据中提取洞察，以提升安全性和系统性能。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)EVManufacturersRMB6OOKmm95OKRMB1.1M1.7MMobilityplatformsRMB55OK90OKRMB1.OM1.5MAutomotiveTechnologyFirmsRMB58OK92OKRMB1.O5M1.6MAIPerceptionEngineerJobFamily:computervision,3DDetection,sceneunderstanding,AutonomousDrivingperceptiondrivingperceptionsystems.perceptiontechnologyremainsoneofthemostcriticalcomponentsofintelligentdrivingsystems.Evmanufacturersandautonomousdrivingcompaniescontinuetoexpandperceptionteamstoimprovesystemsafetyandrealworldperformance.AI感知工程师负责开发用于检测车道、车辆、行人以及道路环境的视觉模型，是自动驾驶系统中的核心模块。感知技术直接影响智能驾驶系统的安全性与稳定性，因此整车厂和自动驾驶企业持续扩大感知算法团队规模，以提升系统在真实道路环境中的表现。IndustrysectorEntry-to-MidLevelsenior/Lead(8+yrs)EVManufacturersRMB650OK1.OMRMB1.2M1.8MAutonomousDrivingFirmsRMB7OOK1.1MRMB1.3M2.OMAutomotiveTechnologyvendorsRMB6OOK95OKRMB1.1M1.7M2026AITalentLandscape&vvplatformAIExpansion:chinahasbuiltoneoftheworld'slargestAlecosystemsdrivenbyinternetplatforms,cloudprovidersandAlstartups.withover1,500largemodelsreleased,demandforLLMengineers,algorithmspecialistsandAlinfrastructuretalentcontinuestogrow.vIndustrialAlAcceleration:china's"AIplus"initia