Join our Data Engineering Services team as a Digital Associate, specializing in creating precise written content for multimedia assets and data labeling across audio, image, and video formats. Your expertise will ensure clear, concise, and impactful content tailored to audience needs. This role offers a fantastic opportunity to contribute to cutting-edge ML data processes.

As a SA/VLM associate, you will engage in annotation tasks within specialized ML data areas, utilizing internal tools effectively. Responsibilities include participating in data collection under provided guidance, adhering strictly to compliance and confidentiality protocols. You will leverage strong language skills to produce grammatically sound and linguistically accurate text, ensuring high internal quality through regular audits. Meeting daily productivity and quality targets is key, along with tracking and resolving annotation-related queries. Diligent tracking of task completion and provision of status reports are essential. You will also assist in testing new Standard Operating Procedures and ML data tools, providing constructive feedback to enhance process efficiency and consistency.

Candidates should possess a strong command of the English language, including excellent grammar, syntax, and vocabulary. A background in linguistics, creative writing, computational linguistics, or a similar field is advantageous. An analytical mindset is crucial for evaluating data and improving system performance. Proficiency with the Windows desktop environment, including Word, Excel, and web browsers, is required. The role demands flexibility and a keen interest in performing repetitive tasks. A high level of energy, proactivity, a strong sense of ownership, and the drive to meet daily deadlines are essential. Exceptional attention to detail for error identification and correction is a must. Strong problem-solving abilities and the capacity to thrive in a fast-paced, collaborative setting are valued. A passion for language, technology, and AI advancements is highly desirable. The ability to manage multiple projects, prioritize tasks, and meet deadlines is critical.