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2 results for Engineering Technician Public Works in Fairfield, CA
- Fairfield, CA
- onsite
- Temporary / Contract
- 33 - 36 USD / Hourly
- <p>Robert Half is seeking an Engineering Technician to support municipal engineering, development review, permitting, and public works activities. This Engineering Technician position provides a combination of office and field technical engineering support, including reviewing construction and subdivision plans, assisting with development review, preparing engineering drawings, supporting field survey activities, and issuing encroachment permits.</p><p>The ideal Engineering Technician candidate will have experience working with civil engineering plans, land development, public works projects, surveying, or municipal engineering and be comfortable working with engineers, contractors, developers, property owners, and the general public.</p><p><br></p><p>Key Responsibilities</p><ul><li>Review subdivision final maps, parcel maps, and construction plans for compliance with City Planning and Engineering requirements and accepted construction practices.</li><li>Review and interpret civil engineering plans associated with streets, utilities, land development, and public infrastructure improvements.</li><li>Prepare engineering plans, specifications, profiles, cross-sections, and related technical drawings.</li><li>Perform horizontal and vertical alignment calculations and other engineering computations supporting:</li><li>Street improvements</li><li>Curb and gutter construction</li><li>Sewer systems</li><li>Water systems</li><li>Storm drainage</li><li>Parks and other public improvement projects</li><li>Assist with the development review process, including review and coordination of plans submitted for private and public improvement projects.</li><li>Process and issue encroachment permits in accordance with City requirements.</li><li>Provide flood zone determinations and respond to requests for general engineering and development information.</li><li>Participate as a member of a field survey crew, gathering and documenting field data for planning, engineering, and public works projects.</li><li>Assist with construction staking, improvement-site surveys, and property boundary surveys.</li><li>Use surveying equipment to obtain accurate field measurements and assist with survey calculations.</li><li>Reproduce, organize, and assemble engineering plans, specifications, maps, and related documents.</li><li>Maintain accurate records associated with engineering drawings, surveys, permits, and field activities.</li><li>Prepare technical documentation and reports as required.</li><li>Coordinate and communicate with City employees, engineers, contractors, developers, property owners, and members of the public.</li><li>Perform other related engineering support duties as assigned.</li></ul><p><br></p>
- 2026-11-05T00:00:00Z
- San Francisco, CA
- onsite
- Temporary / Contract
- 95 - 110 USD / Hourly
- We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
- 2026-11-02T00:00:00Z