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).
