AI Operations Executive - Field Trials & Cleaning Tech

National Environment Agency; Singapore; On-site; SGD 40,000 - 70,000; Full time

Job summary

The National Environment Agency (NEA) is seeking an Executive to support the development, implementation, and operationalisation of AI-driven cleaning technology for public areas. You will manage on-site trials, collaborate with NEA divisions and vendors, and coordinate data annotation for AI training and improvement.

You will analyse datasets, identify trends, and assess deployment feasibility while guiding users to adopt successful AI projects in daily operations.

Qualifications

• Proficient in Microsoft Office
• Basic knowledge in video analytics or ML is an advantage
• Strong communication and teamwork skills
• Meticulous, well-organised, and able to manage multiple tasks
• Proactive, self-driven and able to handle complex situations
• Willing to work outdoors, including weekends and after hours
• Class 3 driving licence is advantageous

Responsibilities

• Plan, conduct and coordinate on-site trials with stakeholders and external vendors on AI-driven solutions
• Manage vendors and administer contracts, including work orders and compliance
• Collaborate with users to extract and annotate data for AI training and improvement
• Analyze data to identify trends and assess feasibility of AI deployments
• Brief and train users to adopt AI projects in daily operations
• Provide regular updates and reports on project status to stakeholders

Skills

Team player

Communication

Interpersonal skills

Written communication

Multitasking

Tools

Pair Chat

ChatGPT

Video analytics

Job description

The National Environment Agency (NEA) is seeking an Executive to support the development, implementation, and operationalisation of AI-driven cleaning technology for public areas. You will manage on-site trials, collaborate with NEA divisions and vendors, and coordinate data annotation for AI training and improvement.

You will analyse datasets, identify trends, and assess deployment feasibility while guiding users to adopt successful AI projects in daily operations.