Location:

Remote / Walnut Creek, CA

SewerAI is transforming the way utilities maintain their infrastructure by leveraging massive amounts of video data and AI/ML. We are looking for an experienced Condition Assessment and Data Analyst to join our growing engineering organization to continuously improve the artificial intelligence models, and to assist with execution of condition assessment services on projects.

Preferred Qualifications

• Access to reliable, fast internet, and a desktop/laptop machine with Google Chrome browser. This position is 100% remote.
• 2+ years field experience with CCTV inspection of underground drainage
• NASSCO PACP™ certification (MACP™ certification is a definite plus)
• Working knowledge of inspection reporting software platforms such as Granite XP/GNet, WinCan, ITPipes, Pipelogix, POSM, etc is a plus
• Effective in use of Google Sheets and Slack platforms
• Ability to effectively work in a fast paced, energetic team environment, and able to receive constructive criticism from time to time
• Results driven, with strong analytical and problem solving skills

About The Job

Working alongside your Teammates, you will:

• Apply your specialized skills and knowledge in condition assessment of CCTV inspection data, specifically for sanitary sewer and stormwater collection systems maintenance and rehab programs
• Review output of inferences conducted by AI models
• Beta test and assist with development of SewerAI’s world-class web-based Inspection Management Platform (IMP)
• Collaborate with backend and AI teams to develop capabilities and features

About Our Company

SewerAI is applying AI to the massive problem of sewer overflows. Most people aren't aware but our sewer infrastructure is crumbling around us, leaking enough untreated wastewater nationwide to cover the entire SF bay area in 7" of raw sewage.

The trenchless technology industry is an essential one, as renewal of our aging underground infrastructure is critical. Our AI technology is revolutionizing this industry by automating the labor intensive aspects of labelling defects such as cracks, roots and grease in pipeline inspection CCTV videos.

We are a VC-backed startup with many large customers looking for a scrappy professional to assist in developing a world-class technology.

Location

This position is 100% remote / WFH.

Competitive Compensation, with both full-time employment and 1099 roles available.

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