Pre-Sales Data Annotator employment via Workforce Logiq (PRO Unlimited)

The position is fully remote and part-time (candidates must be authorized to work in the US, not accepting OPT): 30 hours a week at a minimum, maybe more by mutual agreement, up to 40 hours a week

Overview:

Data annotation entails categorizing, tagging, and evaluating textual information.

In particular, some of the tasks you would do in this role are:

• Categorizing support tickets using a complex taxonomy in either the IT or HR domain
• Identifying mentions of common software titles in support tickets in either the  IT or HR domain
• Grading the quality of algorithmic responses to user queries
• Tagging salient information in user-entered text
• Evaluating the performance of an AI chatbot

Requirements:

• Fully fluent in written and spoken English at a professional level
• Authorized to work in the United States
• Must be fully vaccinated against covid-19

Some attributes of successful candidates are:

• Attention to detail coupled with the ability to see the big picture
• Reliable performance on repetitive tasks (we like to think of our tasks as “non-boring and  repetitive”)
• An analytical mindset
• The ability to form and apply mental models consistently
• Accuracy at speed
• Motivation to meet recurrent deadlines on rolling tasks
• Ability to explain your thought process and decision making
• Willingness to put yourself in the shoes of others and empathetic understanding of the needs of users
• Proactive self-starter capable of focused, independent work
• Adept at remote collaboration (Slack, Zoom, Google Suite)
• Excited to learn and improve
• Curious and creative

Preferred attributes:

• Knowledge of IT terminology and processes

OR

• Knowledge of HR terminology and processes
• Experience working in a large enterprise (in any role)

While we welcome professionals from all backgrounds, we want to be clear that this job does NOT require skills and qualifications in the following fields:

• Data science and analytics
• Computer science
• Computations linguistics
• Machine learning
• Engineering
• Human Resource Management
  

PLEASE NOTE: Both resume/CV and cover letter are required for consideration. In your cover letter, please indicate how many hours a week, on average, you will have available if hired.

Our candidate selection process involves a take-home Data Annotation challenge as a prerequisite to being interviewed on the ZOOM platform