As a Generative AI Data Analyst, you'll play a key role in shaping high-quality training data for video-based AI systems. Your primary responsibility will be to label and evaluate video content according to established protocols, ensuring each annotation meets precision standards.
Key Responsibilities
- Accurately apply labeling frameworks to video datasets and conduct thorough reviews to maintain consistency.
- Identify ambiguous or complex cases, documenting them clearly for team discussion and clarification.
- Conduct self-review of completed tasks to correct discrepancies before submission.
- Report common challenges with specific examples to help refine and improve annotation guidelines.
- Take part in calibration meetings to align interpretations and strengthen team-wide consistency.
- Collaborate with internal teams and external partners to support smooth workflow and uphold quality benchmarks.
What You Bring
- Proven ability to focus on detailed tasks and follow structured procedures accurately over time.
- Strong command of written and spoken English for clear communication and documentation.
- Experience or interest in video annotation through prior work, academic projects, or personal initiative.
- Reliability in managing deadlines and maintaining focus during extended video review sessions.
- Self-motivation and accountability in completing assigned tasks with minimal supervision.
Why This Matters
Your contributions directly support the development of AI systems that serve global audiences. By refining language data and ensuring accuracy, you help shape more effective and inclusive digital experiences. You’ll also become part of a flexible, skills-based network with opportunities aligned to your availability and expertise.
