Data Technician – Temp-to-Hire

🕒 June 24

🇺🇸 United States – Remote

💵 $25 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

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Logo of SewerAI

SewerAI

11 - 50 employees

Founded 2019

🏗️ Construction

📦 Logistics

🤖 Artificial Intelligence

Construction • Logistics • Artificial Intelligence

SewerAI is a VC-funded early-stage startup that provides a cloud platform purpose-built for managing sewer data using AI technology. They enable utilities, engineers, and contractors to identify issues rapidly for sewer collection systems, offering products like PIONEER, AutoCode, Sewer3D, and QAI. These tools enhance the visualization, accuracy, and efficiency of maintenance planning for underground infrastructure. SewerAI aims to streamline sewer inspections and facilitate collaboration among engineers, city planners, and maintenance crews, ensuring accurate defect identification and efficient maintenance planning. Their AI technology not only saves time and costs but also extends the life of underground infrastructure, making it a vital partner for utilities and construction contractors.

📋 Description

• Review, interpret, and code sewer inspection video data according to defined NASSCO visual standards • Navigate multiple software tools and interfaces efficiently • Maintain high accuracy while working at a sustained pace • Apply detailed coding rules consistently across large volumes of data

🎯 Requirements

• High school diploma or equivalent • Typing speed of 80+ WPM • Strong computer fluency — PC gamers, streamers, and anyone deeply comfortable in digital environments tend to thrive here • Valid NASSCO Certificate with demonstrated fluency in PACP/LACP/MACP • Ability to learn complex systems quickly and apply feedback in real time • High attention to detail and comfort with repetitive, rules-based work

🏖️ Benefits

• Paid on-the-job training • Structured ramp-up period with clear productivity and accuracy benchmarks • Regular coaching and feedback to support rapid skill development • Advancement to full production responsibilities based on demonstrated performance

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