Alvanon HK, Ltd. As the leading global apparel business and product development consultancy, we help our clients grow sales and improve profitability by aligning their internal teams and strategic suppliers, engaging consumers, and implementing world class innovations throughout their product development processes and supply chains. We sincerely invite analytical, energetic and self-motivated individuals to join Alvanon. We are looking for candidates for the following position: Machine Learning/Data Science Manager You will be working at our head office in Hong Kong, developing new products relating tobody fit and fashion technology using engineering and machine learning techniques. You will be leading the machine learning team, working closely with other stakeholders to create innovative solutions and products with the latest machine learning technologies. Responsibilities ● Lead and drive the team to deliver AI/ML solutions. ● Identify and communicate with key stakeholders and understand their requirements. ● Research and develop AI/ML solutions that have real impact on our business/products. ● Implement machine learning/deep learning models and bring them into production. ● Work with data scientists and software developers through the entire R&Dpipeline (problem analysis, idea generation, data collection, model prototyping, evaluation, implementation, deployment and maintenance). ● Maintain and improve in-house interface for application prototype, model visualization and evaluation. Requirements ● Doctor Degree in Computer Science/Information System/Statistics or any related quantitative disciplines ● A minimum of 5 years of working experience in the relevant field ● Understanding of common machine learning models/algorithms, such as SVM, logistic regression, Bayesian regression, Neural Networks, etc. ● Basic understanding of probability, statistics, optimization, data structure and algorithms ● Hands-on experience in machine learning/deep learning tools, such as PyTorch, TensorFlow, Keras ● Strong communication skills in English, Mandarin and Cantonese ● Research experience in AI/ML/CV/CG in companies or university research labs is a plus Personality ● Have effective communication skills ● Have sense of ownership of work and desire to deliver great products To apply, please

外企银行 无加班文化 朝九晚五 双休 英语流利 工作经验：2-6年 DevOps + Python(Primary)/Java + Hadoop/Spark, excellent English communications, some knowledge of data science and machine learning is a plus but not mandatory

0x0000-Duty 1）Using the methods of machine learning and deep learning, studies, analyzes and counts the massive multi-modal historical data, and finds the relevant trends and laws. 2）Keep up with the frontier in the field of deep learning algorithms and promote the improvement of the company's existing algorithms. 3）Research on model interpretability. 4）Other work related to quantitative strategy research. 0x0001-Requirement 1）Master degree or above in computer, mathematics and other majors from famous universities at home and abroad, with 0 ~ 3 years of research or project experience related to machine learning or deep learning. 2）Exploration spirit and good hands-on ability, skilled Python or C + + R & D and application experience in Linux environment. 3）Have an in-depth understanding of one or more deep learning frameworks such as TensorFlow, PyTorch, Theano, etc.； 4）Solid foundation of mathematical statistics, ability to quickly read and understand cutting-edge papers in relevant fields at home and abroad . 5）Skillfully use the classical algorithm and network structure of machine learning and deep learning, design the network structure according to the characteristics of financial data, and realize robust and high-precision prediction in the test set. 0x0002-Bonus 1）Working experience in relevant positions in front-line Internet companies, or research experience in relevant artificial intelligence laboratories. 2）MCM, ACM-ICPC or others award. 3）Fund qualification certificate. 0x0000-职责 1）利用机器学习、深度学习的方法对海量多模态历史数据进行研究、分析和统计，从中找到相关的趋势和规律； 2）紧跟深度学习算法领域前沿，推动公司现有算法的改进； 3）模型可解释性研究； 4）其他与量化策略研究相关的工作。 0x0001-要求 1）国内外名校计算机、数学等数理专业硕士及以上学历，有0~3年机器学习/深度学习相关的研究或项目经验； 2）探索精神和良好的动手能力，熟练使用Python，或者Linux环境下的C++研发、应用经验 3）对TensorFlow，PyTorch，Theano等一个或多个深度学习框架有深入理解； 4）扎实的数理统计基础，快速阅读和理解国内外相关领域前沿论文的能力； 5）熟练运用机器学习和深度学习的经典算法和网络结构，可根据金融数据特性设计网络结构，并在测试集方面实现稳健的高精度预测； 0x0002-加分项 1）国内一线互联网公司或者相关人工智能实验室研究经验； 2）MCM、ACM-ICPC等奖项； 3）基金从业资格证

职位职责： 我们正在寻找AI/ML技术的技术专家，包括计算机视觉(CV)，自然语言处理(NLP)和音频信号处理。您将负责与各种利益相关者(产品、运营、政策和工程)合作，并开发最先进的模型。 1、利用自然语言处理、机器学习或计算机视觉等内容理解能力设计和构建产品核心能力，提取数据洞察并优化变现策略； 2、基于最新的深度学习、机器学习、统计和优化技术的算法开发创新性解决方案并构建业务问题原型； 3、从0到1管理数据项目，并与产品经理协作定义用户故事和成功指标来指导开发过程； 4、使用不限于AB测试等方法验证项目的商业价值和预计收益； 5、与工程团队合作部署数据模型并将解决方案规模化。 We are looking for generalists and specialists in AI/ML techniques, including computer vision (CV), natural language processing (NLP), and audio signal processing. You will be responsible for partnering with a variety of stakeholders (product, operations, policy, and engineering) and developing state-of-the-art models. 1. Design and build core capabilities by leveraging content understanding; capabilities, such as natural language processing, machine learning, or computer vision, to extract insights and improve monetization strategies; 2. Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques; 3. Independently manage data projects from 0 to 1, and collaborate with product managers to define user stories, and success metrics to guide the development process; 4. Verify the business value and estimated revenue of the project using methods such as AB testing; 5. Collaborate with engineering teams to deploy and scale data science solutions. 职位要求： 1、了解统计学，机器学习和分析的基本数学基础知识； 2、至少 3 年数据分析经验，具有 ML/DL 和 CV/NLP/Speech 之一的行业经验； 3、具有探索性数据分析、统计分析和假设检验以及模型开发的经验； 4、精通 SQL、Hive、Presto 或 Spark，并具有处理大型数据集的经验； 5、熟练掌握Python和SQL，以及tensorflow、pytorch等ML/DL框架； 6、清楚地了解数据pipeline、模型开发、模型测试和部署； 7、有 CI/CD（如 git）和云服务（如 AWS/GCP/Azure）的经验者优先； 8、具备英文沟通能力强；能够以易于理解的方式向技术/非技术同事传达分析和技术内容； 9、具有求知欲以及出色的解决问题和量化能力，包括拆解问题、找出根本原因并提出解决方案。 1. Knowledge of underlying mathematical fundamentals in statistics, machine learning and analytics; 2. At least 3 years experience in data modeling/analysis, with industry experience in ML/DL and one of CV/NLP/Speech; 3. Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development; 4. Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets; 5. High proficiency in Python and SQL, and ML/DL frameworks such as tensorflow, pytorch; 6. Clear understanding of data pipeline, model development, model testing and deployment; 7. Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable; 8. Advanced English with good communications skills; able to communicate analytical and technical content in an easy to understand way to both technical and non-technical audiences; 9. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.

职位职责： 我们正在寻找AI/ML技术的技术专家，包括计算机视觉(CV)，自然语言处理(NLP)和音频信号处理。您将负责与各种利益相关者(产品、运营、政策和工程)合作，并开发最先进的模型。 1、利用自然语言处理、机器学习或计算机视觉等内容理解能力设计和构建产品核心能力，提取数据洞察并优化变现策略； 2、基于最新的深度学习、机器学习、统计和优化技术的算法开发创新性解决方案并构建业务问题原型； 3、从0到1管理数据项目，并与产品经理协作定义用户故事和成功指标来指导开发过程； 4、使用不限于AB测试等方法验证项目的商业价值和预计收益； 5、与工程团队合作部署数据模型并将解决方案规模化。 We are looking for generalists and specialists in AI/ML techniques, including computer vision (CV), natural language processing (NLP), and audio signal processing. You will be responsible for partnering with a variety of stakeholders (product, operations, policy, and engineering) and developing state-of-the-art models. 1. Design and build core capabilities by leveraging content understanding; capabilities, such as natural language processing, machine learning, or computer vision, to extract insights and improve monetization strategies; 2. Develop creative solutions and build prototypes for business problems using algorithms based on the latest deep learning, machine learning, statistics, and optimization techniques; 3. Independently manage data projects from 0 to 1, and collaborate with product managers to define user stories, and success metrics to guide the development process; 4. Verify the business value and estimated revenue of the project using methods such as AB testing; 5. Collaborate with engineering teams to deploy and scale data science solutions. 职位要求： 1、了解统计学，机器学习和分析的基本数学基础知识； 2、至少 3 年数据分析经验，具有 ML/DL 和 CV/NLP/Speech 之一的行业经验； 3、具有探索性数据分析、统计分析和假设检验以及模型开发的经验； 4、精通 SQL、Hive、Presto 或 Spark，并具有处理大型数据集的经验； 5、熟练掌握Python和SQL，以及tensorflow、pytorch等ML/DL框架； 6、清楚地了解数据pipeline、模型开发、模型测试和部署； 7、有 CI/CD（如 git）和云服务（如 AWS/GCP/Azure）的经验者优先； 8、具备英文沟通能力强；能够以易于理解的方式向技术/非技术同事传达分析和技术内容； 9、具有求知欲以及出色的解决问题和量化能力，包括拆解问题、找出根本原因并提出解决方案。 1. Knowledge of underlying mathematical fundamentals in statistics, machine learning and analytics; 2. At least 3 years experience in data modeling/analysis, with industry experience in ML/DL and one of CV/NLP/Speech; 3. Experience with exploratory data analysis, statistical analysis and hypothesis testing, and model development; 4. Fluency in SQL, Hive, Presto, or Spark and having experience working with large datasets; 5. High proficiency in Python and SQL, and ML/DL frameworks such as tensorflow, pytorch; 6. Clear understanding of data pipeline, model development, model testing and deployment; 7. Experience in CI/CD such as git and cloud services such as AWS/GCP/Azure will be highly desirable; 8. Advanced English with good communications skills; able to communicate analytical and technical content in an easy to understand way to both technical and non-technical audiences; 9. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.

工作职责 1.主导开发规划控制算法软件，带领技术突破，输出高质量算法代码 2.负责红旗L2-L4无人驾驶规划控制系统设计，主导决策/规划/控制算法软件开发和更新维护 3.把握团队的研发方向，保持技术领先和先进性 4.负责规划控制软件开发体系的搭建和人才梯队的培养 工作要求 1.学历要求：**本科及以上学历，博士优先，英语CET-4及以上，机械电子、车辆工程、计算机软件、自动控制、机器人等相关专业 2.工作经验：具有五年及以上自动驾驶规划控制领域工作经验 3.其他： ①熟悉Linux操作系统，精通C++编程、数据结构、设计模式，具备优秀的软件架构设计能力；熟悉machine learning/deep learning方法原理及python等常用数据处理软件工具；熟悉自动驾驶开源平台者优先 ②精通车辆运动学、动力学模型， 具有良好的线性、非线性控制与优化理论基础和应用经验，精通MPC、LQR、PID等常用控制算法 ③精通RRT、A*、Lattice等常用规划算法，精通DP、QP等优化理论与求解算法；熟悉博弈算法 ④深刻理解L2至L4级别自动驾驶技术框架与概念，熟悉AEB、ACC、ADAS等L2级别辅助驾驶功能及L3级别各场景功能 ④具备良好的逻辑沟通能力和解决实际问题的能力

岗位职责: 1、Design and develop scalable frameworks and pipelines for building machine learning models that support a broad range of business applications across domains. 2、Build models and systems that support knowledge acquisition, representation, and retrieval, including integration with enterprise knowledge bases and retrieval-augmented generation (RAG). 3、Apply cutting-edge techniques in large language models (LLMs) and LLM agents, with a strong understanding of transformer architectures, fine-tuning strategies, and evaluation methods. 4、Experiment with and apply advanced training methodologies, including reinforcement learning, supervised fine-tuning, and model distillation, to improve model performance on business applications 5、Stay at the forefront of research and tooling in AI/ML, evaluating new libraries, models, and approaches for real-world adoption. 任职要求： 1、Master’s degree or above in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with 3+ years of hands-on experience in developing and deploying ML models. 2、Strong foundation in machine learning algorithms and deep learning architectures, with the ability to design and adapt solutions across a variety of problem spaces. 3、Proficient in Python and well-versed in modern ML libraries including PyTorch, JAX, HuggingFace, and familiarity with agent-oriented tooling like Pydantic AI. 4、Experience working with knowledge systems, semantic search, and retrieval-based techniques. 5、Deep understanding of LLM development, including pretraining concepts, fine-tuning methods, inference optimizations, and LLM-based agents. 6、Demonstrated experience applying techniques such as reinforcement learning (e.g. RLHF), model distillation, and instruction tuning. 7、Curious, self-driven, and comfortable working across disciplines; strong problem-solving skills and effective communication in English.

Key Responsibilities: Model Development: Design, build, and maintain scaleable machine learning models and algorithms. Data Analysis: Analyze and pre-process data from various sources to prepare it for model training. Model Training & Evaluation: Train, validate, and tune machine learning models to achieve optimal performance. Deployment: Deploy models into production and integrate them with existing systems. Monitoring & Maintenance: Monitor model performance in production and update models as necessary to ensure they remain accurate and relevant. Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver solutions. Research: Stay current with the latest developments in machine learning and AI to continuously improve our technology stack. Required Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Experience: Demonstrated at least 3 years experience as a Machine Learning Engineer or in a similar role. Programming Skills: Expertise in programming languages such as Python, golang, or Java. Machine Learning Frameworks: Proficient with machine learning frameworks and libraries like TensorFlow, PyTorch, JAX, scikit-learn, or equivalent. Data Management: Strong understanding of data management and processing tools such as SQL, Hadoop, Spark, etc. Problem-Solving: Exceptional analytical and problem-solving abilities. Data Analysis Tools: Skilled in using data analysis and visualization tools like NumPy, Pandas, and Matplotlib. NLP Experience: Familiarity with natural language processing concepts and large language models, including transformers and attention mechanisms. Preferred Qualifications: Advanced Education: Ph.D. in a relevant field. Domain Knowledge: Experience in specific domains such as natural language processing (NLP), recommendation systems, computer vision, etc. Big Data: Experience with big data technologies and distributed computing. Cloud Services: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. DevOps: Knowledge of CI/CD pipelines and tools for automating the deployment of machine learning models.

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. At DataVisor, we are working hard to find excellent web front-end engineers who can constantly challenge ourselves and surpass ourselves. We hope that candidates have a solid development foundation and broad front-end or full-stack development experience. Mature experience in front-end framework, early start-up technology company experience is preferred, we look forward to furthering communication with you! Responsibility: 1. Develop DataVisor user analysis interface, including data visualization and database interface functionality, and complete the development efficiently tasks; 2. Constantly participate in the development of the Web front-end, back-end development, API interface, etc. of the DataVisor big data analysis platform; 3. Focus on business, business goals, and exert self-creativity and productivity to achieve business needs. Requirements 1. Minimum two years of web development experience, proficient in HTML, CSS, Javascript, Typescript and other related knowledge 2. Minimum two years of experience in front-end frameworks (such as Angular, React), etc., experience in data visualization is preferred 3. Familiar with web testing framework, Java Selenium, experienced in write E2E test cases/test suites and Unit Test for frontend code, and also to be able to extend existing applications and have certain experience in performance tuning 4. Experienced in Java/Spring programming, familiar with Web back-end development, and big data analysis experience is preferred. 5. NodeJS server-side development, database interface development experience, and SQL proficiency are preferred. 6. Proficiency in using git, Jenkins and other tools 7. Good English reading and writing skills, good at communication 8. B.S is required Benefits We offer a flexible schedule with competitive pay, equity participation and health benefits, along with catered lunch, company off-sites, and game nights, as well as the opportunity to work with a world class team.

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Requirements: 5+ years software development experience 5+ years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

About Us: Senturian Solutions headquartered in Singapore is a global company and leading provider of Artificial Intelligence Video Analytics. We specialize in artificial intelligence through video; analyzing human behaviors and objects then apply deep learning technologies and machine logic to transform that data into meaningful information. Our technology not only empowers video recording systems with omnipresent live search capabilities using AI and Deep Learning technologies, enables investigators to rapidly pinpoint people, behaviors, and objects of interest, turning video systems into a super dynamic search engine; but it also operate as a power tool for collecting business intelligence data beneficial to any industry. About the Role: The Product Assistant’s primary goal is to support the Product Director in managing Senturian’s product management efforts. Responsibilities: ● Assist in product functional demand analysis, write functional demand analysis instructions, and product manuals; ● Assist in coordinating with colleagues, improve products, assist colleagues in software system project management, and maintain the system; ● Responsible for assisting in basic work such as document production, material organization, and data collection. ● Collaborate with the software development team on projects. ● Cooperate with sales staff to provide customers with corresponding product technical parameters, product performance, product operation and other aspects of training and support according to customer needs; ● Technical support: answer technical questions and solve on-site installation and debugging problems. ● Solve daily internal test environment problems, including product hardware and software installation and debugging, troubleshooting, daily maintenance suggestions, etc. Requirements: ● College degree or above, more than 1 year of work experience; ● Proficient in office automation software; ● Good basic computer knowledge such as operating system (Linunx, Windows including Server), server hardware and network knowledge; ● Good communication skills (english, Mandarin), resource integration ability, effective understanding, project management ability, presentation ability and cross-team communication and collaboration ability; ● Be passionate about work, innovative, and able to withstand greater work pressure. Be proactive and have good decision-making ability; ● Have excellent written and oral expression skills, and be proficient in office software and related software tools such as Xmind:

About the Role Epsilla is a leading RAGaaS platform for Generative AI, offering high-performance vector databases. As a Backend Engineer at Epsilla, you will build and enhance Epsilla’s product lines, improve workflow efficiency and scalability, integrate new AI developments into our platform, intergating Large Language Models(LLM) and manage our infrastructure. This dynamic role places you at the forefront of distributed systems infrastructure and Generative AI. About the Interview: 1. 15-minute behavioral interview, sharing your understanding of our platform(https://cloud.epsilla.com) 2. Take-home assessment 3. 45-minute technical discussion Responsibilities: - Writing well-designed, testable and efficient code - Collaborate with founders to conceptualize and implement sub-products and features from start to finish to deliver winning products. - Participate in the design of technical architecture, ensuring scalability and maintainability. - Troubleshooting and debugging to drive performance optimization. - Engage with customers and evaluating user feedback to understand core pain points and iterate on feature requests. - Contribute to customer support, particularly for the products you develop. - Stay current with the latest AI advancements by investigating alternatives to integrate new capabilities into our platform. Requirements: - Degree/Diploma in Computer Science, Engineering or related field. - Proficiency in C++, TypeScript, and Python/FastAPI. - Understanding of performance optimization best practices. - Strong attention to detail and deliver work that is of a high standard. - Strong communication skills and the ability to work in fast-paced environments. - Excellent problem-solving skills with a proven ability to overcome challenges. Nice to Have: - Experience in AI, Machine Learning, and building RAG workflows. - Experience with no/low-code platforms. - Experience in early-stage startup environments.

Summary: We are looking for a highly skilled PyTorch Machine Learning Engineer to join our team in extracting valuable data from over 300,000 carbon emissions research papers. The ideal candidate will have a strong background in natural language processing, computer vision, and PyTorch. The goal is to create a model that can accurately extract textual, tabular, and graphical data from unstructured documents with 100% accuracy. Responsibilities: 1. Develop and implement machine learning models for data extraction from unstructured documents using PyTorch 2. Preprocess and clean large datasets of research papers on carbon emissions 3. Combine natural language processing techniques with computer vision methods to accurately extract textual, tabular, and graphical data 4. Optimize models for performance, scalability, and accuracy 5. Collaborate with team members to understand project requirements and deliver solutions 6. Continuously stay updated with the latest research and advancements in the field of machine learning and data extraction 7. Document and present the progress and results of the project to stakeholders Requirements: 1. Master’s degree or higher in Computer Science, Data Science, or related field 2. Strong expertise in PyTorch and deep learning frameworks 3. Proven experience in natural language processing and computer vision techniques 4. Solid understanding of machine learning algorithms and their applications 5. Proficient programming skills in Python 6. Experience with data preprocessing, feature engineering, and model optimization 7. Strong problem-solving skills and the ability to work independently as well as in a team 8. Excellent communication and presentation skills in English Preferred Qualifications: 1. Previous experience working with unstructured documents, such as research papers 2. Familiarity with carbon emissions data and related research 3. Proficiency in GPU-based computing and parallel processing

公司信息(Company Info): 我们透过1百万以上的注释者及语言专家组成的人工智能团体，协助各个企业测试与改善机器学习模型。我们拥有的人工智能培训平台能处理500种以上不同语言各式各样的资料 (如文字、图像、音频、视频和地理数据 。我们的人工智能数据解决方案能突显人工智能系统跨度应用的高端智能产品，得以有更佳的搜索结果、语音识别、 更仿真地人机互动等。 职位概述(Position Open): 我们正在寻找具有强大沟通能力并每天使用互联网的充满活力的人。 这是一个自由职业者，独立承包商职位。您将可以灵活、自由地在自己的家中工作，按自己的时间工作。 人选画像(Ideal Candidate): 我们希望候选人：对于本地信息风俗民情及文化事物, 熟练应用社交软件。 职位要求(Job Requirements): -熟练掌握中文和英文 -您需要在过去 3 年至今必须居住于中国內地。 通过工作相关准则测验。 -具备对中国过去与现在的商业、媒体、体育、新闻、社交媒体和文化等敏感度。 -需自备高速宽带/Wifi、电脑及基本软件、智能手机，安卓手机系统需在4.1版本及更高版本，IOS手机系统需要在第8版本或更高版本，来完成本任务。 -需在您的只能手机上安装条形二维码扫描应用程序才能完成某些任务。 -需要您是Gmail和其他社交媒体的活跃用户 更多职位描述： 您将审查在线广告以改进其内容、质量和布局。您将需要对搜索引擎结果中的广告提供反馈和分析，并就广告与所用搜索词的相关性进行评级。这个机会的另一个方面将涉及通过检查语法、语气和文化相关性来审查广告中使用的语言。通过这项工作，您将为中国在线广告的质量做出宝贵的贡献。 报酬与亮点(Benefits): 视项目难度及完成度而定，报酬范围为每小时6-7美金(折合人民币约为37-45元)。 工时弹性自行安排 工作与生活平衡的节奏掌握 对环境的正面影响力 The Role – Personalized Internet Ads Assessor Company Info: We help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Our proprietary AI training platform handles all data types (text, images, audio, video and geo) across 500+ languages and dialects. Our AI Data Solutions vastly enhance AI systems across a range of applications from advanced smart products, to better search results, to expanded speech recognition, to more human-like bot interactions and so much more. Description and Requirements We are looking for dynamic people who have strong communication skills and use the Internet daily. This is a freelance, independent contractor position. You will have the flexibility and freedom to work from your own home, working your own hours. What are the main requirements for the opportunity? You must be living in China for the last 3 consecutive years. You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in China. Fluency in English and the Chinese language. Access to and use of a broadband internet connection and associated computer and software to perform the work, all provided at your own expense. Experience in use of web browsers to navigate and interact with a variety of content. Access to and use of an Android (version 4.1 or higher) or IOS Smartphone (version 8 or higher) to complete tasks. A Barcode Scanner application must be installed on your smartphone to complete certain tasks. Active daily user of Gmail and other forms of Social Media Additional Job Description In this job you will be reviewing online advertisements in order to improve their content, quality and layout. You will be required to provide feedback and analysis on advertisements found in search engine results and provide ratings on their relevance to the search terms used. Another aspect of this opportunity will involve reviewing the language used in advertisements by examining grammar, tone and cultural relevance. Through this work you will be making a valuable contribution to the quality of online advertisements in China. Compensation & Benefits: Potential earnings is applicable if contributors reach their productivity level as these are pay per task roles. The potential earnings for this role is 6-7 USD/hourly. Flexible Hours to work around home life Better Work-Life Balance Positive Environmental Impact

公司信息(Company Info): 我们透过1百万以上的注释者及语言专家组成的人工智能团体，协助各个企业测试与改善机器学习模型。我们拥有的人工智能培训平台能处理500种以上不同语言各式各样的资料 (如文字、图像、音频、视频和地理数据 。我们的人工智能数据解决方案能突显人工智能系统跨度应用的高端智能产品，得以有更佳的搜索结果、语音识别、 更仿真地人机互动等。 职位概述(Position Open): 我们正在寻找具有强大沟通能力并每天使用互联网的充满活力的人。 这是一个自由职业者，独立承包商职位。您将可以灵活、自由地在自己的家中工作，按自己的时间工作。 人选画像(Ideal Candidate): 我们希望候选人：对于本地信息风俗民情及文化事物, 熟练应用社交软件。 职位要求(Job Requirements): -熟练掌握韩语和英语 -您需要在过去 3 年至今必须居住于中国內地。 通过工作相关准则测验。 -具备对中国过去与现在的商业、媒体、体育、新闻、社交媒体和文化等敏感度。 -需自备高速宽带/Wifi、电脑及基本软件、智能手机，安卓手机系统需在4.1版本及更高版本，IOS手机系统需要在第8版本或更高版本，来完成本任务。 -需在您的只能手机上安装条形二维码扫描应用程序才能完成某些任务。 -需要您是Gmail和其他社交媒体的活跃用户 更多职位描述： 您将审查在线广告以改进其内容、质量和布局。您将需要对搜索引擎结果中的广告提供反馈和分析，并就广告与所用搜索词的相关性进行评级。这个机会的另一个方面将涉及通过检查语法、语气和文化相关性来审查广告中使用的语言。通过这项工作，您将为中国在线广告的质量做出宝贵的贡献。 报酬与亮点(Benefits): 视项目难度及完成度而定，报酬范围为每小时6-7美金(折合人民币约为37-45元)。 工时弹性自行安排 工作与生活平衡的节奏掌握 对环境的正面影响力 The Role – Personalized Internet Ads Assessor Company Info: We help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Our proprietary AI training platform handles all data types (text, images, audio, video and geo) across 500+ languages and dialects. Our AI Data Solutions vastly enhance AI systems across a range of applications from advanced smart products, to better search results, to expanded speech recognition, to more human-like bot interactions and so much more. Description and Requirements We are looking for dynamic people who have strong communication skills and use the Internet daily. This is a freelance, independent contractor position. You will have the flexibility and freedom to work from your own home, working your own hours. What are the main requirements for the opportunity? You must be living in China for the last 3 consecutive years. You must have familiarity with current and historical business, media, sport, news, social media and cultural affairs in China. Fluency in English and the Chinese language. Access to and use of a broadband internet connection and associated computer and software to perform the work, all provided at your own expense. Experience in use of web browsers to navigate and interact with a variety of content. Access to and use of an Android (version 4.1 or higher) or IOS Smartphone (version 8 or higher) to complete tasks. A Barcode Scanner application must be installed on your smartphone to complete certain tasks. Active daily user of Gmail and other forms of Social Media Additional Job Description In this job you will be reviewing online advertisements in order to improve their content, quality and layout. You will be required to provide feedback and analysis on advertisements found in search engine results and provide ratings on their relevance to the search terms used. Another aspect of this opportunity will involve reviewing the language used in advertisements by examining grammar, tone and cultural relevance. Through this work you will be making a valuable contribution to the quality of online advertisements in China. Compensation & Benefits: Potential earnings is applicable if contributors reach their productivity level as these are pay per task roles. The potential earnings for this role is 6-7 USD/hourly. Flexible Hours to work around home life Better Work-Life Balance Positive Environmental Impact