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Video Annotator

We're looking for detail-oriented video annotators to support a shot boundary detection project.

Remote

AI Data Training Image & Video

Hiring companyTuring

Application processN/ANo approved reviews yet

Work experienceN/ANo approved reviews yet

About the role

Annotators will watch video clips, identify where shots begin and end, classify transition types (cuts, fades, dissolves, wipes), and group shots into scene buckets with category labels.

Benefits

Opportunity to work on cutting-edge AI projects.
Competitive compensation.
Flexible working hours and remote work environment.

Responsibilities

Watch video clips frame-by-frame and identify all shot boundaries.
Create a "Shot Card" for each shot, capturing start/end frames.
Identify and label the shot transition type and subtype (cut, fade, dissolve, wipe, etc.).
Group shot cards into scene buckets based on narrative/event continuity.
Classify each video clip and scene bucket by category (e.g., TV-Streaming/Drama, Education/Documentary, Gaming/Sci-Fi, Podcast/Lifestyle).
Maintain consistency and accuracy across a high volume of annotations.
Follow detailed labeling guidelines and flag edge cases for review.

Required skills

Strong understanding of shot composition, editing techniques, and transition types.
Sharp attention to detail and ability to distinguish subtle visual cues (e.g., panning/zooming vs. an actual shot change).
Comfortable working with annotation tools and following structured labeling workflows.
Ability to work independently and meet quality/throughput targets.
Good written communication for documenting edge cases or ambiguous calls.

Preferred skills

Background in film studies, cinematography, or media production.
Prior experience with data annotation or labeling projects.
Familiarity with different genres (drama, documentary, gaming, podcast/lifestyle content).

Experience and education

1+ year of experience in video/film editing, content creation, or video production.

Assessment requirements

Shortlisted candidates will complete an assessment.
Once the assessment is cleared, candidates can start.

Eligibility

Work arrangement: Fully remote

More about the hiring companyTuring

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Thriveth may earn a referral payment if you use the referral link and meet the company’s conditions. Your choice does not improve your chances or change how this job is shown.

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Thriveth may earn a referral bonus if you use this link and meet Turing’s referral conditions. Using the referral link is optional and does not improve your selection chances or affect how we present the listing. Rewards vary by role. Turing determines whether a referral qualifies. Generally, the candidate must be new to Turing, the referral must be credited to the first referrer through Turing’s portal or public referral page, and the candidate must be hired, complete onboarding, and meet the required work milestone—normally at least 10 worked hours. Candidates already in Turing’s applicant system, already under consideration or otherwise known to Turing, current or former employees or contractors, and candidates who applied directly within the previous 90 days do not qualify under the reviewed terms. Referrers must obtain consent before submitting a candidate’s personal information. Rewards remain subject to Turing’s current terms, eligibility checks, and program changes; payment is not guaranteed. Thriveth is independent of Turing. Using it does not affect job order, ratings, reviews, or Thriveth picks.

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