Join our dynamic team as a Digital Associate I, focusing on ML Ops. This role involves diligently following defined instructions and procedures to manage new tasks and releases. You'll excel at performing repetitive exercises with high accuracy, ensuring quality standards are consistently met. Prioritizing and managing multiple assignments effectively to meet all deadlines is key.

This position requires you to tackle complex tasks with minimal supervision and respond with appropriate urgency to time-sensitive situations. You will utilize software tools for data capture and adhere to daily organizational processes. A crucial part of the role includes capturing results, communicating effectively, and escalating any doubts or failures promptly.

Your primary daily responsibilities will include performing precise annotations and conducting thorough audits according to Standard Operating Procedures (SOPs).

You will also be responsible for understanding and applying defined sets of instructions, procedures, and guidelines for new tasks and releases.

Effectively managing multiple assignments, prioritizing tasks, and ensuring timely completion are integral to this role. You will also be expected to capture results, communicate findings, and escalate any issues or uncertainties.

We are seeking individuals with a Bachelor's degree and fluency in speaking, writing, and reading English.

A foundational understanding of QA methodology and tools is essential. Candidates with a graduate degree in any field are encouraged to apply, with a preference for quantitative fields like science and engineering.

Familiarity with the Windows desktop environment and proficiency in using Word, Excel, and web browsers like IE and Firefox are required. The ability to handle multiple category images efficiently in a fast-paced environment is also a key requirement.