视频数据标注 & 评测专家 / 负责人 at Embedding VC | CA, US | Rezi

视频数据标注 & 评测专家 / 负责人 at Embedding VC

视频数据标注 & 评测专家 / 负责人

Embedding VC · CA, US

1 months ago

视频数据标注 & 评测专家 / 负责人

Embedding VC · CA, US

2 months ago
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Responsibilities

  • Design and implement various video annotation tasks and specifications, including caption alignment, action, scene, style, camera work, temporal consistency, ranking/preference, and bad case classification.
  • Build an annotation quality inspection system with gold sets, spot checks, multi-round reviews, and inter-rater agreement (IAA) to ensure stable and iterative annotation quality.
  • Manage annotation vendors and crowdsourcing teams to control delivery quality, consistency, and rework.
  • Continuously iterate on annotation guidelines and standards based on model bad cases.
  • Establish a video generation evaluation system, including building evaluation sets/benchmarks and designing evaluation dimensions and metrics (image quality, action naturalness, temporal consistency, prompt matching, bad frames/deformations/flickering, etc.), combining manual and automatic evaluation.
  • Create a bad case classification and feedback mechanism to translate evaluation results into actionable data supplementation and annotation standard adjustments.
  • Support multi-version model comparisons and track data usage effectiveness and model improvements.
  • Collaborate with the algorithm team to understand the different data requirements for PT, SFT, RLHF, and Eval stages, driving continuous iteration of data standards.

Requirements

  • 3+ years of relevant experience in video, image, or multimodal data annotation or evaluation (excluding pure text NLP).
  • Hands-on experience and ability to clearly explain the differences and specific methods of various video annotation tasks.
  • Familiarity with annotation quality inspection systems, with practical experience in at least one mechanism such as gold sets, spot checks, IAA, or reviewer calibration.
  • Experience collaborating with algorithm teams and driving bad case feedback.
  • Strong ability to organize processes and communicate across teams.

Skills

  • Video annotation
  • Annotation quality inspection
  • Vendor management
  • Crowdsourcing management
  • Video evaluation
  • Data analysis
  • Process management
  • Cross-team communication

Experience Level

  • 3+ years