... performance. Prior AI experience is not required. Key Responsibilities Data Entry & Validation Task Design - Design expert-level evaluation tasks that simulate real-world data entry and validation challenges. - Create realistic scenarios requiring accurate data entry, error identification, validation, and reconciliation. ...
Join Data Eminence as a remote Data Analyst and help transform raw data into meaningful insights that support informed business decisions. You'll collect, clean, analyze, and visualize data while identifying trends, patterns, and opportunities. This role is ideal for entry-level candidates with strong analytical skills, ...
... looking for highly accurate data entry and data validation professionals to contribute to a project focused on evaluating and improving AI systems. You’ll create realistic data-entry and validation scenarios involving complex datasets, identify and document errors, define correct outcomes, and develop detailed evaluation criteria. ...
... Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing - Entering and updating information into relevant databases - Informing relevant parties regarding errors encountered - Handling additional duties from time to time Requirements - 1+ years experience in a relevant ...
... MS-Excel to accurately input and update data 2. Maintain and organize large databases to ensure data integrity 3. Collaborate with team members to streamline data entry processes 4. Perform regular quality checks to identify and correct errors 5. Generate reports and analyze data trends for decision-making purposes 6. Support ...
... entry and analysis, we want to hear from you! Apply now to join our dynamic team at Desnor Destination and take the next step in your career. Skill(s) required Data Analysis Data Analytics Data Annotation Data Cleaning Data Engineering Data entry Data Extraction Data Interpretation Data Manipulation Data Preparation Earn ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... Engineering, or a related field. 7+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions. - Databases: Oracle and PostgreSQL - ETL/ELT & Data Integration: Experience in maintaining and refactoring existing data pipelines - Data Warehousing ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... interface performance during hypercare. Data From Process to Data Lake Data Validation & Process Improvement Support automation of CSV-Data upload by validation and data quality checks Perform data validation and cross-checks to ensure data quality and consistency Validate raw data and transform structured data to Data Model as ...
... The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows. Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines . Define, compute, ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives. Develop and optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, ...
... validate data from multiple sources Perform exploratory data analysis (EDA) Develop dashboards and reports using BI tools Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible ...
... drives / memory / transceivers and other hardware related tasks, as required by our server and network teams. Assisting with planning equipment moves or new data center build-outs. Coordinating the packing, shipping, and logistics of equipment to and from remote colocation sites. Maintaining data center documentation. ...
... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...