Video Data Annotator (Toronto)

Video Data Annotator (Toronto)

23 Sep
|
RemoteJobsOne
|
Toronto

23 Sep

RemoteJobsOne

Toronto

This is a fully remote position, open to candidates based in Canada.

Pay: $7/hr

Role Title: Video Data Annotator

Role Type: Contractor

Location: Remote

We are engaging Video Data Annotators to contribute to a customer's robotics-focused video annotation project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

1. Annotate and review robotics-related video footage using detailed guidelines provided for each assignment.
2. Assess and score video clips for data quality, relevance, and accuracy based on a predefined scoring guide.
3. Identify and label specific actions, objects, or events within video data, ensuring comprehensive and accurate annotation.
4. Collaborate with the the company project team to clarify annotation standards and resolve ambiguities in the scoring process.
5. Document annotation decisions and provide feedback on the clarity and effectiveness of guidelines.
6.



Perform ongoing quality assurance checks to verify that annotations adhere to project requirements and deliverables.
7. Deliver annotations and evaluations consistently and within set project timeframes.

Preferred Qualifications
1. Mid-level experience with video data annotation across various platforms or projects.
2. Demonstrated attention to detail and commitment to producing high-quality, accurate annotations.
3. Strong written and verbal communication skills, with the ability to document findings and interact with team members remotely.
4. Previous experience with robotics footage or robotics-related annotation tasks (heavily preferred).
5. Ability to interpret and apply complex annotation guidelines and scoring rubrics.
6. Familiarity with AI review processes or quality assurance in data annotation projects.
7. Proactive approach to problem-solving and a self-motivated work style in a remote engagement setting.

How to apply

Apply here with your Indeed profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.

📌 Video Data Annotator (Toronto)
🏢 RemoteJobsOne
📍 Toronto

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