FAQs
What is the job title for this position?
The job title is ML Data Associate-II.
Is this position remote or onsite?
This is a 100% onsite role.
What educational qualifications are required for this role?
A bachelor's degree in any field of study is required.
How much work experience is needed for this position?
0-2 years of work experience with demonstrated task execution ability 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 video.
What are the key responsibilities of the ML Data Associate-II?
Key responsibilities include delivering high-quality labeled data, serving as a subject matter expert on ML data workflows, conducting research, and contributing to root cause analysis to improve quality.
What analytical skills are required for this position?
The role requires strong analytical and critical thinking capabilities for evaluating different forms of data and making decisions.
Is experience in the machine learning domain preferred?
Yes, prior experience in the machine learning domain is considered an advantage.
What is the expected typing speed for applicants?
A good typing speed of 50 wpm or above is expected.
What language proficiency is required for this role?
Candidates must demonstrate language proficiency in verbal, writing, reading, and comprehension at a minimum B2 level in the CEFR framework.
Will I be required to follow confidentiality guidelines?
Yes, maintaining and following strict confidentiality guidelines is a key responsibility.
Are there opportunities for adapting to diverse labeling workflows?
Yes, candidates should be agile and able to transition to diverse labeling workflows while paying close attention to detail.
Do I need to be able to handle ambiguous information?
Yes, logical decision-making while performing tasks that may include ambiguous information is an important part of the role.
What kind of team environment will I be working in?
You will be part of a diverse team focused on improving customers’ lives through practical AI innovations while implementing necessary safeguards.