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AI/Automation Safety Developer (Human Factors)

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The AI/Automation Safety Developer subcontract, managed by the Department of Transportation's 693JK3 Acquisition Services Division, focuses on creating AI-driven supervisory systems to eliminate workmanship errors for prime contractors on PHMSA pipeline integrity projects. The project involves developing real-time AI monitors for field and control room personnel to provide continuous feedback and guidance until tasks are safely completed. The goal is to deliver a deployment-ready ecosystem reaching Technology Readiness Level 6 or 7 to ensure proactive operational safeguards. This effort requires specialized expertise in Human Factors Engineering, AI/Machine Learning, and real-time monitoring. The opportunity is categorized under NAICS code 541715 and is based in Washington, DC. Interested parties must submit their responses by the deadline of November 2, 2026.

General Info

DOT subcontract for AI supervisory systems to eliminate pipeline integrity workmanship errors.

Agency

Department Of Transportation → 693JK3 Acquisition Services DivisionView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

Washington, DC, 20590, USA

Set-Aside

NONE

Documents

This scope was carved out of 693JK326RA001.

The full solicitation package (9 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Pipeline Safety Research and Development (R&D) - Research Announcement 12

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Transportation → 693JK3 Acquisition Services Division
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Transportation → 693JK3 Acquisition Services Division
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Office AddressN/A
ContactsNo contact information available

Full Description

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Develops AI-driven supervisory systems to prevent workmanship errors for prime contractors on PHMSA pipeline integrity projects. Creates AI monitors for field and control room personnel providing real-time feedback and guidance through safe task completion. Requires expertise in Human Factors Engineering, AI/Machine Learning, and real-time monitoring. Delivers a deployment-ready ecosystem at TRL 6 or 7 for proactive operational safeguards.

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