Captioning and Text Labeling Operator
We are seeking a skilled Operator for Captioning and Text Labeling
to join our team. As an Operator for Captioning and Text Labeling, you will be
responsible for accurately captioning content [audio/video] and labeling text data to
enhance accessibility and improve machine learning algorithms. This role requires
attention to detail, strong linguistic skills, and the ability to work efficiently in a fast-
paced environment.
Client: Autonomous Driving Company
Work type: Annotations
- Pilot scope
- Work involves validating and editing driving instructions generated by AI Model for autonomous driving scenarios (e.g. Signal approach, braking logic, etc.)
- Project is live in the US , India, London and Tokyo.
- Pilot Details:
- Tasks: ~40 tasks
- AHT: 90mins
- Timeline: ~3 days execution + 1 day QC → delivery in 4 days
- Start: Early next week
Preferred skillset:
- Minimum to have a driving license and knowledge to understand the work for 2 India Resources
- Laptop will be provisioned for pilot
Responsibilities:
- Caption GIF and video content accurately and efficiently according to specified
- guidelines and standards.
- Ensure high-quality output by reviewing and correcting descriptions mentioned as
- needed.
- Collaborate with team members to check the opportunity to optimize captioning
- and labeling processes.
- Keep up-to-date with industry best practices and technological advancements in
- captioning and labeling techniques.
- Contribute to the development and improvement of captioning and labeling tools
- and software.
Requirements:
- Bachelor degree or equivalent experience in a related field.
- Proficiency in written and spoken English (additional language proficiency is a
- plus).
- Excellent grammar, punctuation, and spelling skills.
- Strong attention to detail and accuracy.
- Ability to work independently and collaboratively in a team environment.
- Experience with captioning and labeling tools and software (e.g., Amara,
- YouTube captioning tools, Labelbox, etc.) is preferred but not required.
- Familiarity with accessibility standards and guidelines is a plus.
- Bachelor degree in linguistics, communication, computer science, or a related
- field is preferred but not required.
Selection Criteria:
- Stage 1 : Achieving a score of 85% or higher in the Captioning and Text Labeling
- Assessment
- Stage 2 : F2F / GVC Interview with Training Team
- Stage 3 : Final Selection by Operations Team
For more information, please share your CV with hourly rate at sagar@truelancer.com