Job Description

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).