Sign Linguistics Research Assistant

Overview

The Kocab Lab in the Department of Cognitive Science at Johns Hopkins University seeks a Sign Linguistics
Research Assistant
. Under the supervision of the faculty investigator, the Research Assistant is responsible for annotating/glossing sign language datasets and recruiting American Sign Language (ASL) signing participants for online experiments. This is a casual hourly position dependent on availability of project funding.

• Annotate/gloss sign language datasets.
• Write and maintain a coding manual for each dataset.
• Assist with recruiting signing participants, including D/deaf signers, for online studies.
• Assist with scheduling signing participants, including D/deaf signers, for online studies.
• Design training materials for annotating sign language datasets.
• Provide training in sign language annotation.
• Perform other related duties as assigned.

• Fluency in American Sign Language and English (i.e., manual and written communication) is essential. (
  
  Note:
  
  This position does not require certification as an interpreter.)
• Knowledge of sign linguistics.
• Experience with annotating/glossing sign language data.
• Basic computer skills and proficiency.
• Excellent organizational and interpersonal skills.
• Demonstrated ability to work independently and collaboratively with a team.

• Bachelor's Degree in related discipline.
• Additional education may substitute for required experience and additional related experience may substitute for required education beyond HS Diploma/Graduation Equivalent, to the extent permitted by the JHU equivalency formula.

• Coursework or a degree in ASL or another sign language linguistics.
• Previous research experience in experimental psychology, linguistics, or cognitive science.
• Previous experience working as part of the ASL/Deaf/HoH community.
• Previous experience with scheduling.

Location:

Remote
•

Schedule:

12 hrs/wk; schedule may vary seasonally
• Employee group:
Casual / On Call
• FLSA Status:
Non-Exempt