FAQs
What is the minimum educational requirement for the ML Data Associate-II position?
A bachelor's degree in any field of study is required for this position.
Is work experience necessary to apply for this role?
No prior work experience is required, but 0-2 years of experience is preferred.
What types of data will I be working with in this role?
You will work with a wide range of data types, including text, audio, speech, images, and videos.
What qualifications are preferred for candidates?
A bachelor’s or master’s degree is preferred, along with exposure to US culture and prior experience in the machine learning domain.
Is this role fully onsite?
Yes, this is a 100% onsite role, which may require flexibility in the work schedule.
What key skills should I possess to be successful in this role?
Strong analytical and critical thinking capabilities, adaptability to fast-paced environments, attention to detail, and proficiency in researching diverse subject matter are essential.
Do I need to have proficiency in specific languages?
Yes, candidates must demonstrate language proficiency in verbal, writing, reading, and comprehension at a minimum B2 level in the CEFR framework.
What is the expected typing speed for applicants?
A typing speed of 50 words per minute (wpm) or above is preferred.
What will my main responsibilities be as an ML Data Associate?
Your main responsibilities will include delivering high-quality labeled data, maintaining confidentiality, serving as a subject matter expert for ML data workflows, and contributing to root cause analysis and process improvements.
Is there room for advancement or additional challenges in this role?
Yes, candidates should possess a willingness to accept challenges and a sense of ownership, as the role involves tackling daily deadlines and potentially evolving tasks.