AI Data Annotation Project Manager

7 days ago

Singapore Shanda Group Full time $80,000 - $120,000 per year

About Us:

Join us at Shanda AI Research as we are dedicated to becoming a global leader in AI innovation, driving the transition of AI technology from the "copilot" era to the "autopilot" era. We focuses on cutting-edge research in large models and nextgeneration intelligent agents. Our mission is to push the boundaries of AI technology, develop groundbreaking models, and advance their real-world applications and impact.

Key Responsibilities:

End-to-end delivery of data annotation projects for model training & evaluation: requirement scoping, task breakdown, scheduling, capacity & cost control, and risk management.

  • Design and implement annotation guidelines & QC processes (multi-tier review, sampling, arbitration, gold sets/control experiments).
  • Manage annotators and external vendors, building a scalable capacity pool and performance mechanisms.
  • Partner with Research/Compliance to ensure data security and traceability.
    Build data profiling & task difficulty quantification and drive efficiency via automation checks and tooling scripts.

Key Requirements:

  • Bachelor's degree or above in Computer Science, Data Science, Linguistics, Cognitive Science, or a related field.
  • 3–5 years of experience in data operations, AI data management, or annotation project management.
  • Strong understanding of AI data pipelines, labeling tools (e.g., Labelbox, Scale AI, Prodigy, CVAT), and quality evaluation metrics.
  • Proven ability to manage multiple stakeholders and tight timelines in a fast-paced environment.
    Excellent communication, documentation, and problem-solving skills.

Preferred:

  • Experience in large-scale NLP or vision data annotation (e.g., LLM fine-tuning, image segmentation, speech labeling).
  • Familiarity with scripting or data analysis (Python, SQL).

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