Join our team as a Digital Associate I, focusing on MLOps. This role involves collecting crucial ground truth data for product development by following defined instructions and guidelines. You'll execute tasks accurately, report results promptly, and gain a deep understanding of new procedures and release criteria.

Embrace repetitive tasks with a focus on maintaining high quality. Proficiency in using software tools for data capture and adherence to organizational processes are key. Comfortable with documenting outcomes, communicating issues, and escalating failures is essential for success in this position.

Key responsibilities include diligently collecting ground truth data according to specific instructions for product development. You will be expected to execute tasks with precision and report outcomes accurately.

Understanding and following guidelines for new tasks and releases is vital. The role demands performing repetitive exercises dynamically, ensuring quality remains uncompromised. Effective use of data capture software and compliance with daily organizational processes are fundamental.

Comfortably documenting results, communicating effectively, and escalating any failures are crucial. Providing individual status reports and consistently meeting productivity and quality benchmarks are expected. You will also be responsible for raising and resolving any execution-related issues or doubts within the specified service level agreements (SLAs).

Essential qualifications include fluent speaking, writing, and reading abilities in English. A Bachelor's degree is required, and any graduate, particularly those with a background in quantitative fields like science and engineering, will be considered. Strong familiarity with the Windows desktop environment, including proficiency in Word, Excel, IE, and Firefox, is necessary.

Candidates must demonstrate the ability to manage multiple categories of images in a dynamic, fast-paced setting. While not mandatory, a graduate degree in any field is sufficient, with quantitative disciplines being preferred. The ability to handle diverse workloads efficiently is key to thriving in this role.