Civil Engineer - AI Evaluation Projects
Posted date [2026-08-29]
(ID: 50327)
 |
YO IT Consulting specializes in recruiting remote professionals for AI training and data annotation projects with global companies. Based in Abu Dhabi Emirate, United Arab Emirates, the company connects qualified talent worldwide with flexible remote opportunities that contribute to the development and improvement of modern artificial intelligence systems. |
Job Description and Requirements
Civil Engineer - AI Evaluation ProjectsJob Snapshot
Role: Civil Engineer - AI Evaluation Projects
Location: Abu Dhabi Emirate, United Arab Emirates
Industry: Civil Engineering
Function: Civil & Structural Engineering
Experience: 5+ years professional civil engineering experience preferred
Job Type: Contractor
Position Overview
Civil Engineer - AI Evaluation Projects in Abu Dhabi Emirate, United Arab Emirates is a Civil Engineering contractor opportunity for an experienced professional contributing to the development and validation of advanced AI evaluation tasks. YO IT Consulting is hiring civil engineers who can create realistic technical scenarios, interpret regulatory codes, assess engineering constraints, develop accurate solutions, and evaluate technical outputs across structural design, transportation, water systems, and site development. No prior AI experience is required.
Job Details
Country: United Arab Emirates
City: Abu Dhabi Emirate
Industry: Civil Engineering
Function: Civil & Structural Engineering
Salary: 12000-20000
Estimated salary range based on similar jobs in
the job city; please confirm the final offer with the employer.
Gender: Any
Candidate Nationality: Any
Job Type: Contractor
Role Context
The Civil Engineer will apply professional design and review experience to the creation of realistic engineering benchmark tasks used to assess AI-generated technical work. The role requires practical judgement across drawings, calculations, geotechnical information, specifications, cost data, regulatory requirements, and multidisciplinary project constraints.
Each task must reflect the complexity engineers encounter in real projects rather than simplified academic exercises. The engineer will help ensure that proposed solutions are technically sound, comply with applicable codes, and can be evaluated consistently through clear scoring criteria and supporting documentation.
Key Responsibilities
* Create realistic civil engineering evaluation tasks spanning structural design, transportation systems, water infrastructure, and site development.
* Develop technical source materials including engineering drawings, geotechnical reports, specifications, cost estimates, code extracts, and structured datasets.
* Construct problems that require engineers to balance design constraints, regulatory obligations, constructability, safety, and project requirements.
* Determine technically accurate solutions using appropriate civil engineering principles and applicable codes.
* Review AI-generated engineering outputs for technical accuracy, reasoning quality, regulatory compliance, and completeness.
* Build detailed evaluation rubrics that assess engineering methodology, calculations, documentation quality, and code adherence.
* Interpret regulatory standards and translate relevant provisions into measurable task requirements.
* Validate engineering drawings, calculations, reports, spreadsheets, CSV files, PDFs, and related technical artifacts.
* Identify inconsistencies between design assumptions, site conditions, specifications, and proposed solutions.
* Evaluate geotechnical information and determine its impact on foundations, earthworks, grading, drainage, or site development decisions.
* Create realistic transportation, roadway, drainage, utility, and infrastructure scenarios where appropriate.
* Examine cost estimates and supporting data for consistency with stated project assumptions.
* Document engineering rationale clearly enough for evaluation decisions to be reviewed and reproduced.
* Collaborate with project teams to improve task clarity, realism, technical depth, and scoring consistency.
* Maintain high quality across output-based submissions while meeting project delivery expectations.
Ideal Profile
Candidates should ideally have at least five years of professional civil engineering experience across one or more relevant project domains.
A PE license or active pursuit of professional licensure is strongly preferred. The successful candidate should demonstrate a strong working knowledge of engineering codes, design standards, regulatory requirements, and compliance documentation.
Practical experience preparing or reviewing engineering drawings, design reports, specifications, calculations, geotechnical information, cost estimates, and technical datasets is important.
The role requires the ability to reason through competing engineering constraints and identify solutions that are both technically defensible and compliant with applicable requirements.
Excellent written communication is essential because evaluation tasks, solutions, assumptions, and grading criteria must be documented with precision. Candidates should also be comfortable working independently with mixed technical formats such as PDFs, spreadsheets, CSV datasets, and engineering drawings.
Skills Set
* Civil engineering
* Civil & Structural Engineering
* Structural design
* Transportation engineering
* Water systems
* Site development
* Engineering design
* Code compliance
* Regulatory code interpretation
* Engineering calculations
* Constraint reasoning
* Technical analysis
* Engineering documentation
* Design specifications
* Geotechnical reports
* Engineering drawings
* Cost estimating
* Data validation
* Technical data review
* Infrastructure design
* Drainage systems
* Utility coordination
* Site grading
* Technical report review
* Spreadsheet validation
* CSV analysis
* PDF technical review
* Evaluation rubric development
* Engineering quality review
* PE licensure
Why Join Us
This contractor opportunity allows experienced civil engineers to apply real project knowledge to an emerging area of technical AI evaluation. The work draws on practical experience with design standards, code compliance, engineering documentation, technical review, and multidisciplinary decision-making rather than requiring previous AI expertise.
The role also provides exposure to benchmark development, structured technical evaluation, engineering data validation, and rubric design. These capabilities are increasingly relevant as AI systems are introduced into engineering analysis, documentation, and decision-support workflows.
Compensation is output-based and paid per approved task, with minimum weekly submission requirements. Selected professionals should be prepared to begin project work within 24-48 hours after completing onboarding.
About the Company
YO IT Consulting supports technology-driven projects by engaging experienced professionals from engineering, research, data, and technical disciplines. Its contractor assignments enable subject matter experts to contribute practical industry knowledge to AI evaluation, technical validation, benchmark development, and other emerging digital workflows.
Gender: Any
Candidate Nationality: Any
Job Type: Contractor
Role Context
The Civil Engineer will apply professional design and review experience to the creation of realistic engineering benchmark tasks used to assess AI-generated technical work. The role requires practical judgement across drawings, calculations, geotechnical information, specifications, cost data, regulatory requirements, and multidisciplinary project constraints.
Each task must reflect the complexity engineers encounter in real projects rather than simplified academic exercises. The engineer will help ensure that proposed solutions are technically sound, comply with applicable codes, and can be evaluated consistently through clear scoring criteria and supporting documentation.
Key Responsibilities
* Create realistic civil engineering evaluation tasks spanning structural design, transportation systems, water infrastructure, and site development.
* Develop technical source materials including engineering drawings, geotechnical reports, specifications, cost estimates, code extracts, and structured datasets.
* Construct problems that require engineers to balance design constraints, regulatory obligations, constructability, safety, and project requirements.
* Determine technically accurate solutions using appropriate civil engineering principles and applicable codes.
* Review AI-generated engineering outputs for technical accuracy, reasoning quality, regulatory compliance, and completeness.
* Build detailed evaluation rubrics that assess engineering methodology, calculations, documentation quality, and code adherence.
* Interpret regulatory standards and translate relevant provisions into measurable task requirements.
* Validate engineering drawings, calculations, reports, spreadsheets, CSV files, PDFs, and related technical artifacts.
* Identify inconsistencies between design assumptions, site conditions, specifications, and proposed solutions.
* Evaluate geotechnical information and determine its impact on foundations, earthworks, grading, drainage, or site development decisions.
* Create realistic transportation, roadway, drainage, utility, and infrastructure scenarios where appropriate.
* Examine cost estimates and supporting data for consistency with stated project assumptions.
* Document engineering rationale clearly enough for evaluation decisions to be reviewed and reproduced.
* Collaborate with project teams to improve task clarity, realism, technical depth, and scoring consistency.
* Maintain high quality across output-based submissions while meeting project delivery expectations.
Ideal Profile
Candidates should ideally have at least five years of professional civil engineering experience across one or more relevant project domains.
A PE license or active pursuit of professional licensure is strongly preferred. The successful candidate should demonstrate a strong working knowledge of engineering codes, design standards, regulatory requirements, and compliance documentation.
Practical experience preparing or reviewing engineering drawings, design reports, specifications, calculations, geotechnical information, cost estimates, and technical datasets is important.
The role requires the ability to reason through competing engineering constraints and identify solutions that are both technically defensible and compliant with applicable requirements.
Excellent written communication is essential because evaluation tasks, solutions, assumptions, and grading criteria must be documented with precision. Candidates should also be comfortable working independently with mixed technical formats such as PDFs, spreadsheets, CSV datasets, and engineering drawings.
Skills Set
* Civil engineering
* Civil & Structural Engineering
* Structural design
* Transportation engineering
* Water systems
* Site development
* Engineering design
* Code compliance
* Regulatory code interpretation
* Engineering calculations
* Constraint reasoning
* Technical analysis
* Engineering documentation
* Design specifications
* Geotechnical reports
* Engineering drawings
* Cost estimating
* Data validation
* Technical data review
* Infrastructure design
* Drainage systems
* Utility coordination
* Site grading
* Technical report review
* Spreadsheet validation
* CSV analysis
* PDF technical review
* Evaluation rubric development
* Engineering quality review
* PE licensure
Why Join Us
This contractor opportunity allows experienced civil engineers to apply real project knowledge to an emerging area of technical AI evaluation. The work draws on practical experience with design standards, code compliance, engineering documentation, technical review, and multidisciplinary decision-making rather than requiring previous AI expertise.
The role also provides exposure to benchmark development, structured technical evaluation, engineering data validation, and rubric design. These capabilities are increasingly relevant as AI systems are introduced into engineering analysis, documentation, and decision-support workflows.
Compensation is output-based and paid per approved task, with minimum weekly submission requirements. Selected professionals should be prepared to begin project work within 24-48 hours after completing onboarding.
About the Company
YO IT Consulting supports technology-driven projects by engaging experienced professionals from engineering, research, data, and technical disciplines. Its contractor assignments enable subject matter experts to contribute practical industry knowledge to AI evaluation, technical validation, benchmark development, and other emerging digital workflows.
