AI Data Annotation Expert

Noida, India

Experience: 3+ years
Job Type: Full-time (Contractual / Freelancing)
Location: Remote
Required Skills: Video Annotation, Attention to detail, Data Labeling Accuracy, English-language Proficiency, AI training, Collaborative Mindset, Analytical Thinking, Ability to follow guidelines

Job Summary:

We are selecting AI Data Annotation Experts to contribute to a project focused on improving AI systems through meticulous video data labeling and annotation. 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:

  • Review short video clips to identify and categorize recurring events according to provided guidelines.
  • Precisely annotate each recognized event, capturing accurate timestamps for every occurrence.
  • Craft clear, concise, and consistent written descriptions for all annotated events.
  • Utilize attention to detail and data labeling accuracy to ensure high-quality, reliable annotations.
  • Apply annotation protocols rigorously to maintain consistency and integrity of the labeled data.
  • Engage collaboratively with project leads and fellow contributors to address questions and feedback.
  • Submit regular deliverables aligned with project milestones and expectations.

Preferred Qualifications:

  • Proven experience with video annotation or similar data labeling activities.
  • Exceptional attention to detail and a commitment to maintaining data quality.
  • Strong analytical skills, with the ability to interpret guidelines and apply them thoroughly.
  • Excellent written and verbal English proficiency for clear annotation descriptions and communication.
  • Experience participating in AI training or data-centric projects is advantageous.
  • Demonstrated ability to collaborate effectively within distributed teams or remote projects.
  • Comfort working independently and adapting to evolving annotation criteria or feedback.