Rochester Institute of Technology
Captionist I
Rochester, NY · Junior · Contract
Work authorization required$22k-$35kDetected 30 days ago
Customer SupportCommunicationMentoringMicrosoft Office
About the role
- Essential Duties & Responsibilities - Provides live, real-time captioning to deaf, hard of hearing, and deaf/visual impaired consumers in academic settings and non-academic settings.
- Work is performed under close supervision using clearly prescribed methods and detailed instructions.
- Real-Time Captioning at RIT/NTID Real-time captioning at RIT/NTID provides Deaf and Hard of Hearing individuals with immediate access to spoken language, supporting full participation in communication, dialogue, and learning.
Requirements
- Voices for students as required
- Knowledge of captioning practices and procedures
- Knowledge of English grammar, spelling, and academic vocabulary
- Ability to listen to rapid spoken English, to restate it rapidly, accurately and in correctly formed English sentences
- Associates degree in related field
- This will be required to ensure your application is processed in a timely manner.
- Candidates must be eligible to work in the United States.
- Captionists must be available to work Monday through Friday between 8:00 a.m. and 10:00 p.m., with occasional weekend hours.
Compensation
- In compliance with NYS's Pay Transparency Act, the salary range for this position is listed above.
- This position is 40 hours per week/9 months (39 weeks per year).
Benefits
- The Department of Access Services (DAS) at RIT/NTID is seeking candidates to join the largest team of professional captionists working in postsecondary education.
Equal opportunity
- If you need reasonable accommodation for any part of the application and hiring process, please contact the Human Resources office at 585-475-2424 or email your request to hr@rit.edu.
- Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
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This listing is sourced directly from Rochester Institute of Technology's careers page and normalized into a canonical job model.