Data Annotator

  • Mountain View, CA
  • 10 days ago


Job Description

Data Annotator (employment via Workforce Logiq)

The position is fully remote and part-time: 20 hours a week at a minimum, maybe more by mutual agreement, up to 40 hours a week.

Partially flex-time: many assignments can be done outside of our business hours.

Who we are:

Moveworks is revolutionizing how companies support their employees — with the first AI platform that makes getting help at work effortless.

Included on the prestigious Forbes AI 50 list and named a leader in The Forrester New Wave, Moveworks uses advanced machine learning to resolve employees’ requests, whether they need IT support, HR help, or policy information.

What you'll do:

As a Data Annotator, you will be categorizing, tagging, labeling, and evaluating textual information.

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

Grading the quality of algorithmic responses to user queries

Tagging salient information in user-entered text

Identifying mentions of common software titles in support tickets in IT and other enterprise domains

Categorizing support tickets using a complex taxonomy

Evaluating the performance of an AI chatbot

What you bring to the table:

Fully fluent in written and spoken English at a professional level

Authorized to work in the United States

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

Experience working in a large enterprise (in any role)

Knowledge of terminology and processes in HR, or Finance, orAccounting, or Facilities, or Legal

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


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 as a Data Annotator.

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

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