Join our team as a Digital Associate, focusing on creating high-quality written content for video and image projects, as well as labeling objects within audio, image, and video files. This role emphasizes producing clear, concise, and informative content tailored to our target audience.

We seek individuals with a passion for language and technology to contribute to innovative data engineering services. This is an excellent opportunity for those looking to apply their linguistic skills in a dynamic environment.

As a Digital Associate, you will perform annotation tasks within our machine learning data processes, utilizing internal tools. Responsibilities include contributing to data collection efforts, applying strong language and grammar skills to ensure textual accuracy, and conducting quality audits. You will also track daily task completion, manage queries related to annotation, and provide feedback to enhance existing processes and tools.

Key duties involve meeting daily productivity and quality targets, adhering to strict confidentiality and compliance requirements, and assisting in testing new standard operating procedures and ML data tools. Your attention to detail will be crucial in identifying and rectifying errors, ensuring the highest quality output.

A strong command of the English language, encompassing grammar, syntax, and vocabulary, is essential. A background in linguistics, creative writing, or computational linguistics is preferred. We require an analytical mindset, familiarity with the Windows desktop environment, and proficiency with tools like Word and Excel. The role also demands flexibility for repetitive tasks, a proactive attitude, high energy, and a strong sense of ownership.

Candidates must possess excellent problem-solving skills, the ability to work collaboratively in a fast-paced setting, and a passion for language, technology, and AI. Meeting deadlines and managing multiple projects are critical. A Bachelor's degree or equivalent, along with fluent English communication skills (speaking, writing, reading), is a basic qualification. Experience with Microsoft Office products and flexibility with work schedules, including weekends and holidays, are preferred.