Evaluate and validate e-commerce product attributes and Customer Perceived Value generated by our algorithm. Insights will help determine whether the content is ready for real-world deployment. Prior experience in e-commerce annotation, data labeling, or product tagging is helpful. Must be willing to download and actively use DingTalk to meet daily productivity and quality KPIs.
Work with Welo Data, an AI services company, to shape the future of AI on your own terms. Contribute to smarter, more inclusive AI by joining a global community of linguists, language enthusiasts, and culturally aware contributors. Explore remote, flexible, and impactful opportunities in annotation, evaluation, and prompt creation. Apply now by answering a few short questions to join our talent pool.
Evaluate and validate e-commerce product attributes and CPV generated by our algorithm. Your insights will help determine whether the content is ready for real-world deployment. Responsibilities include reviewing and assessing product details and CPV quality, following structured guidelines for content annotation and validation, and using the DingTalk app for task updates and team communication.
The Revenue Analytics team empowers our customer-facing teams by working cross-functionally with product, clinical research, and member marketing to provide data and insights at scale. The Manager, Data Analytics will lead a team responsible for delivering compelling data-driven stories and strategic insights. This role is for a leader who excels at translating complex data into clear, precise, and actionable recommendations.
We are hiring a highly skilled Data Analyst for one of our clients, to support their business intelligence efforts. The ideal candidate is passionate about working with data, has solid experience in Python and AWS, and can turn raw data into actionable insights. Familiarity with Docker and affiliate marketing is a plus but not required.
Help advance AI development by contributing personal photo data! We’re collecting 20 old photos from individuals across various age groups for use in training AI systems. Submit a total of 20 personal photos: 10 photos taken within the past 2 years and 10 photos taken more than 2 years ago. Each photo must include the approximate date it was taken. Task volume will be assigned by the project manager depending on availability.
As a Data Scientist, your mission will be to analyze data, build models, and prototype innovative AI features. You will partner closely with Product, R&D, and GTM teams to scope problems, explore data, and deliver ML-powered solutions that are both technically sound and business-relevant. This is a hands-on role with a strong mandate for innovation, experimentation, and delivering production-ready solutions that drive real impact.
Job duties include understanding and documenting reporting, business intelligence and dashboard requirements. Performing Data Mapping between Source systems like Microsoft Dynamics 365 Supply Chain and Finance ERP (“D365”), CRM, Dataverse, Fabric, Azure Synapse, ADLS and Power BI. Developing ADF/Synapse/Fabric Pipelines for ETL/data warehousing, performing data ingestion. Configuring and Develop Power BI Reports to generate standardized and on-demand executive dashboards, reports, metrics & KPIs.
The Data Engineer will focus on providing accurate and consistent data for analysis, working with bespoke tools designed for data capture and processing that data into a state-of-the-art Data Warehouse, primarily using Python and AWS Technologies. Responsibilities include designing, developing, maintaining, and documenting Python based data processing and ETL jobs, ensuring data is complete and accurate and that failures are minimised and resolved efficiently.
As a Specialist Solutions Architect, you will guide customers in building big data solutions on Databricks. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads.