Video Data Annotation Specialist
The Work
You will review multimedia clips and help improve AI systems by checking whether their descriptions are accurate and appropriate. You will follow project guidelines, make consistent annotations, and explain unclear or incorrect results.
The work includes video and audio review, content moderation, and quality-focused evaluation. You will also handle confidential project data and work independently while adapting to updated guidelines.
- Annotate short video and audio clips according to project guidelines.
- Evaluate AI-generated descriptions for accuracy and appropriateness.
- Flag uncertain, inappropriate, or potentially sensitive content.
- Explain inaccuracies, ambiguity, and other issues clearly.
- Maintain consistent, high-quality annotations across substantial volumes of work.
- Collaborate remotely to clarify guidelines and improve processes.
What It Pays and Takes
This is remote contractor work with flexible scheduling. The project is listed as entry level, and prior annotation or moderation experience is preferred rather than required.
- Pay: $8 to $10 per hour.
- Work type: Remote, flexible contractor project.
- Availability: Open to candidates in the countries specified for this project.
- Language: Strong written English.
- Experience: Video or audio annotation, content labeling, digital content moderation, guideline-based evaluation, or quality assurance is preferred.
- Skills: Careful visual and audio judgment, strong attention to detail, independent work, and the ability to adapt to changing guidelines.
- Data handling: You must be committed to protecting confidential project information.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that understand images, video, audio, and language. People review examples, label content, and assess model results so AI systems can become more accurate and useful. Experienced contributors are valued because careful judgment and consistent reviews help improve model quality.
