... 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 ...
... 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 ...
... and produce expert-level evaluation tasks that simulate real-world data entry and validation challenges for AI agents. - Construct and curate large, complex datasets—including CSVs, PDFs, spreadsheets, and technical documents filled with realistic errors such as malformed records, missing data, and inconsistent formats. ...
... 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. The ...
At LearnTastic, data is at the heart of every strategic decision. As a Data Analytics and Optimization Specialist , you will play a critical role in driving business growth by transforming data into actionable insights that enhance user experience, optimize digital performance, and improve conversion outcomes. You'll collaborate ...
... of various data sets, including security master data, pricing data, corporate actions, index levels, holdings, transactions, index constituents, performance data, and security analytics. - Exceptional Analytical Skills: Proficient in SQL to conduct data-driven analysis, review and summarize data, and identify data quality ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... Vault, Azure Monitor or Log Analytics. - Experience with infrastructure as code, reusable deployment templates or environment-management automation. - Exposure to data science, advanced analytics, AI or machine-learning delivery. - Experience using AI-assisted development tools such as GitHub Copilot and/or Claude in line with ...
... coaching, performance management, career development, and team engagement. Data Architecture: Deep understanding of modern data architecture patterns including Data Lakes, Data Warehouses, Lakehouses, and Data Mesh, combined with experience designing and delivering cloud-based data platforms. Cloud and Data Engineering: Strong ...
... Point - Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other data management ...
... problems into data science solutions and communicate results to stakeholders. Master’s/PhD in Remote Sensing, Geoinformatics, Agriculture Engineering, Earth Sciences, Environmental Science, or related field. - 5 years of experience in satellite analytics for agriculture (crop mapping, phenology, yield modeling, or sustainability ...
... analytics platforms, and legacy ERP applications. Experience working with SAP functional modules such as FI/CO, MM, SD, PP, QM, PM, EWM/WM, IBP, and integration data integrity requirements. Experience in Medical Device, Pharmaceutical, Life Sciences, or other regulated global manufacturing industry strongly Experience in fast-paced ...