AI/ML Data Contributor

tsmg seeks AI/ML Data Contributors in Fargo, ND to support machine learning projects. This position centers on improving artificial intelligence models through hands-on data tasks. Main responsibilities Label and organize data for use in machine learning workflows Review and assess content for quality and accuracy Take part in user testing, which may include…

Role overview The AI/ML Data Contributor at tsmg in Fargo, ND plays a key part in building machine learning models for projects throughout the United States. The position centers on tasks that help improve system performance, with a focus on labeling data, evaluating different types of content, and taking part in user-based testing. What you will do Label data to assist machine learning projects Review and assess a range of content types Take part in user-based testing, which may include device or VR testing Work structure Option to work remotely or participate in person, depending on project needs Flexible, task-based scheduling Potential to join several projects over time

tsmg seeks an AI/ML Data Contributor to support the development of machine learning models. The role centers on hands-on data work, including labeling, content review, and real-world testing across various projects. Main responsibilities Label data sets to help train and improve AI and machine learning systems Check content for accuracy and relevance as part of ongoing project work Join user-based testing, which may involve device or VR evaluations Work structure This is a task-based role. Contributors may be invited to participate in several projects over time. Most work can be completed remotely, but some tasks, such as device or VR testing, may require in-person participation depending on project needs and your availability. Location The position is based in Fargo, ND.

tsmg is looking for AI/ML Data Contributors based in Fargo, ND to support a variety of current and upcoming projects. This role centers on improving machine learning models through practical tasks such as data annotation, content evaluation, and user-oriented testing. Project involvement Assignments differ in both scope and format. Some tasks are suitable for remote completion, while others may require in-person attendance, including device or virtual reality testing sessions. Contributors may participate in several projects over time, depending on availability and project requirements. Work structure Flexible, task-based assignments Options for remote and on-site work Potential to join multiple projects

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