Video Data Annotation Specialist

Employer description and requirements

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

We are looking for experienced Data Annotation Specialists to support the projectt. The selected professionals will work with video-based data, creating accurate bounding boxes and reviewing annotated video content according to detailed project guidelines.

Job Responsibilities

Create accurate bounding boxes around relevant objects in video footage.

Review and validate video annotations for accuracy, consistency, and completeness.

Follow project-specific annotation guidelines and quality standards.

Identify and correct annotation errors.

Maintain consistent performance across a high volume of video data.

Communicate questions, challenges, and potential issues to the project team.

Meet project deadlines, including accelerated timelines when required.

Job Requirements

At least 3 years of experience in data annotation projects.

Previous experience with video-based data annotation is strongly preferred.

Demonstrated experience creating bounding boxes or performing similar object annotation tasks.

Strong attention to detail and ability to identify visual inconsistencies.

Ability to follow detailed instructions and apply guidelines consistently.

Availability to work on weekends when required due to tight project timelines.

Reliable internet connection and access to a suitable computer.

Nice to have Qualification:

Prior experience with data annotation or labeling projects

Benefits

Opportunity to work on cutting-edge AI projects.

Competitive compensation.

Flexible working hours and remote work environment.

Application Process

Shortlisted candidates will complete an assessment.

Once the assessment is cleared, candidates can start.