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Memasukkan data pelanggan dalam bentuk dokumen. Menyortir data dan informasi sebelum dimasukkan ke komputer. Memindai dokumen dan file yang diperlukan. Memeriksa dan memperbaiki kesalahan data atau dokumen. Membuat laporan data karyawan.

Job Description Summary : Data Entry responsibilities include collecting and entering data in databases and maintaining accurate records of valuable company information. Job Description : • Update & maintain information on the company database • Compile, verify, and review data deficiencies or errors, correct any incompatibilities • Scan documents and print files, when needed • Keep information confidential • Respond to queries for information and access relevant files • Comply with data integri

• Mempersiapkan dan mengatur dokumen sebelum memasukkan data ke dalam komputer. • Memasukkan data ke dalam database perusahaan. • Memeeriksa dan memverifikasi keakuratan informasi yang dimasukkan ke dalam database. • Membuat perubahan pada informasi yang tidak lengkap. • Mencadangkan data sebagai bagian dari rencana kontigensi. • Menanggapi permintaan informasi dari anggota yang berwenang. • Menguji sistem basis data baru dan pembaruan perangkat lunak. • Mengelola dokumen dan catatan perusahaan

Job Responsibilities : A. Entering data from source documents within time limits B. Compiling, verifying accuracy and sorting information to prepare source data for computer entries. C. Reviewing data for deficiencies or errors, correcting any incompatibilities and checking outputs.

We’re looking for motivated individuals to help us with data annotation. Responsibilities will include gathering, sorting, compiling, and annotating data for the training and testing of computer vision models and software products. The role also includes creating and generating clinical reports for clinical staff, and sharing data with senior-living caregivers, nurses, and staff.

"Entry data adalah proses penting dalam mengumpulkan, memasukkan, dan mengelola informasi secara sistematis ke dalam basis data atau sistem komputer. Ini melibatkan pengetikan, pengimputan, atau pemindai informasi dari berbagai sumber ke dalam format yang dapat diakses dan diolah. Dalam proses entry data, keakuratan dan kecepatan adalah kunci. Setiap detail harus dimasukkan dengan cermat dan teliti untuk menghindari kesalahan yang dapat mempengaruhi integritas data. Pemahaman yang baik tentang f

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e

Job Title CS - Data Science Engineer - Tainan Degree: Work Experience: Travel: Workplace Types: Job Description: Introduction to the job As a Data science engineer in CS Operational Excellence team, you will be part of the digital transformation journey within Customer Support OPS towards sustainable improvement in data automation, data visualization and systems applications with the aim of creating value and reducing wastes. You will provide support to the line organization and co-ordinate the

【Game changer, armed with data.】 You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire. 【What a Data Analyst does in Titansoft】 ．Use Google Analytics data

Responsible for developing and implementing advanced analytics models to assess credit risk and make data-driven decisions. Develop and maintain predictive models for credit risk assessment using machine learning and statistical techniques. Analyze large datasets to identify trends, patterns, and insights related to credit risk. Collaborate with cross-functional teams to implement risk models into business processes. Lead and mentor a team of data scientists and analysts. Stay abreast of industr