AI Data Annotation Project Manager

SHANDA GROUP PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading AI company in Singapore is seeking a Data Annotation Project Manager to oversee end-to-end delivery of data annotation projects. Responsibilities include managing annotators, ensuring data security, and driving project efficiency. Candidates should have a relevant Bachelor's degree, 3-5 years of experience, and strong communication skills. This role offers the opportunity to work at the forefront of AI technology.

Qualifications

• 3-5 years of experience in data operations, AI data management, or annotation project management.
• Strong understanding of AI data pipelines and labeling tools.
• Proven ability to manage multiple stakeholders and tight timelines.

Responsibilities

• End-to-end delivery of data annotation projects for model training & evaluation.
• Design and implement annotation guidelines & QC processes.
• Manage annotators and external vendors.

Skills

Project management

Data annotation

Communication skills

Problem-solving skills

Education

Bachelor’s degree in Computer Science, Data Science, Linguistics, Cognitive Science, or a related field

Tools

Labelbox

Scale AI

Prodigy

CVAT

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).