DatoviaPlayHouse
Video Annotation Specialist (Remote)
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Company Description
DatoviaPlayHouse is a global freelance marketplace that connects businesses with skilled professionals and AI-powered solutions across borders. The platform supports collaboration in over 300 languages, enabling work in areas such as localization, transcription, AI data services, and digital operations. By combining human expertise with advanced technology, DatoviaPlayHouse delivers accurate, scalable, and cost-effective services tailored to modern business needs. With a diverse network of global talent, the company helps clients expand into new markets, streamline workflows, and drive faster, smarter growth. Team members benefit from a flexible, remote-friendly environment focused on innovation and quality.
Role Description
The Video Annotation Specialist (Remote) is a full-time role responsible for reviewing, labeling, and annotating video content to support AI training and data quality initiatives. Day-to-day tasks include:
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- Watching video clips
- Applying predefined tags and metadata
- Marking objects, actions, and events
- Ensuring annotations are consistent with project guidelines
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The specialist will collaborate with project managers and quality reviewers to clarify requirements, meet deadlines, and maintain high accuracy across large datasets. The role also involves:
- Using internal tools and platforms for annotation
- Reporting issues or ambiguities in the content
- Suggesting improvements to annotation workflows
This is a remote position, allowing the specialist to work from any location while adhering to set schedules and performance standards.
Qualifications
- Strong attention to detail and ability to follow structured annotation guidelines with high accuracy.
- Proficiency with basic computer tools and web-based platforms; comfortable working with video playback and annotation interfaces.
- Solid analytical and observational skills to identify objects, actions, and contextual cues within video content.
- Effective written communication skills for documenting findings, reporting issues, and collaborating with distributed teams.
- Ability to work independently in a remote environment, manage time effectively, and meet productivity and quality targets.
- Previous experience in data labeling, video annotation, content moderation, or related digital operations is beneficial.
- Familiarity with AI, machine learning, or data services projects is a plus but not required.
- Comfort working with diverse, global teams and openness to feedback and iterative improvement.
- High school diploma or equivalent required; post-secondary education in a relevant field (e.g., media, IT, data science) is an advantage.
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