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Internship Pipeline Inspection Pilot Jobs (NOW HIRING)

Eve

Vice President of Sales, Large Accounts

Build and maintain a healthy pipeline across both segments with rigor on quality, not just volume ... demo, pilot, and close - can identify it, teach it, and inspect for it across a team of AEs and ...

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Internship Pipeline Inspection Pilot information

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How much do internship pipeline inspection pilot jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship pipeline inspection pilot in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Pipeline Inspection Pilot vs Pipeline Inspection Technician?

AspectInternship Pipeline Inspection PilotPipeline Inspection Technician
CredentialsTypically pursuing or completed relevant training or certificationsRequires certifications like API, safety training, and experience
Work EnvironmentSupervised, training-focused, often in field or office settingsFieldwork in pipelines, industrial sites, and remote locations
Industry UsageInternship role for students or entry-level candidatesFull-time technician responsible for inspections and maintenance

The Internship Pipeline Inspection Pilot is an entry-level, training-focused role designed for students or recent graduates gaining experience in pipeline inspection. In contrast, the Pipeline Inspection Technician is a full-time professional responsible for conducting inspections, maintenance, and safety checks on pipelines. While both roles involve pipeline safety and inspection, the pilot is a learning position, whereas the technician is a skilled worker with established credentials.

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Internship Pipeline Inspection Pilot jobs near you
Infographic showing various Internship Pipeline Inspection Pilot job openings in the United States as of August 2026, with employment types broken down into 50% Temporary, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Principal Engineer, AI & Emerging Technology

Targa Resources

Houston, TX • On-site

Full-time

Re-posted 13 days ago

Targa Resources rating

8.7

Company rating: 8.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

9th of 87 rated oil and gas companies

Job description

JOB FUNCTION:
The Principal/Sr. Engineer of AI and Emerging Technology will support the coordination, selection, pilot testing, evaluation, and integration/adoption and maintenance of artificial intelligence (AI) and related emerging technologies into Targa's operational work processes. This role also partners closely with third party Investment teams to review startups and partners, perform technical diligence, design and execute pilots, and help shape co-development opportunities where strategic investments of resources and funds enable Targa to influence product direction. This role sits within the Engineering Services organization and collaborates closely with Information Technology, Enterprise Asset Management (EAM), Reliability, Rotating Equipment Specialists, Mechanical Integrity (MI), Corrosion, OT/SCADA, Pipeline Integrity, Operations, Engineering and Commercial teams to ensure efficient and impactful adoption of AI and Emerging Technology across the enterprise. This role will be instrumental in driving operational excellence, cost efficiency, and asset reliability through adoption and implementation of advanced technology.
KEY RESPONSIBILITIES:
  • Lead identification, prioritization, and piloting of new technologies that include AI/ML, digital twins, generative AI, equipment upgrades and autonomous inspection technologies across operational assets.
  • Maintain a prioritized backlog of AI and Emerging Technology use cases mapped to organizational KPIs (e.g., corrosion growth rates, MTBF for rotating equipment).
  • Partner with SCADA and Measurement teams to build reliable real-time data pipelines for AI and Emerging Technology model deployment.
  • Coordinate with internal and external resources to develop, test, and deploy AI/ML models.
  • Provide tracking and regular updates on testing progress; interface with testing groups to maintain strong communication and clear issue/decision logs.
  • Support investment partners to scout startups and technology partners; translate business pain points into clear technical needs, screen solutions quickly, and maintain a pipeline of high-potential opportunities.
  • Lead technical diligence for venture and partner opportunities (architecture, data flows, cybersecurity posture, scalability, reliability, integration approach, vendor maturity, and technical risk) to inform investment and partnership decisions.
  • Define pilot/POC scope, success criteria, test plans, and measurement approach for venture-backed or partner solutions (KPIs, value realization, safety/compliance impacts, and operational readiness); run disciplined stage-gates from prototype through field pilot to scale decision.
  • Own day-to-day technical partnership execution during pilots and post-investment: coordinate internal stakeholders and startup/partner teams, manage technical deliverables, resolve blockers, and ensure successful handoff into steady-state operations with clear ownership and support models.
  • Drive structured feedback loops with startups/partners to influence product roadmap and co-development (requirements, data access, field learnings, defect triage, and release validation) aligned to Targa standards.
  • Partner with IT/OT and platform teams to operationalize MLOps practices (model/version control, reproducible training, automated testing, deployment pipelines, and documentation).
  • Establish and track KPIs and cost/benefit analyses for AI and Emerging Technology initiatives, present findings and recommendations to senior leadership.
  • Support change management and training efforts to improve AI and Emerging Technology literacy across the organization.
  • Collaborate with EAM, Reliability, MI, Corrosion, OT/SCADA, and Pipeline Integrity teams to align AI and Emerging Technology initiatives with business needs.
  • Drive cultural adoption of AI/Emerging Technology through rapid prototyping and feedback loops.
  • Ensure AI/Emerging technology initiatives support and align with operational goals related to safety, compliance, reliability, and efficiency.
  • Engage with Commercial, Engineering & Construction, and ES&H teams to align AI/Emerging Technology efforts with broader strategic objectives.
  • Conduct field visits to evaluate technology adoption and identify opportunities for improvement.
  • Serve as SME for monitoring, maintenance, and continual development of deployed AI and emerging technologies.
  • Perform other duties as assigned.

MINIMUM QUALIFICATIONS:
  • Bachelor's degree in Engineering, Computer Science, Data Science, or related field (or equivalent industry experience).
  • 7+ years of experience in midstream oil & gas or industrial operations a with role focused on operations, technology, or innovation.
  • Proven experience deploying AI/ML solutions in operational environments.
  • Strong understanding of Operating Equipment, SCADA, Maximo, Measurement, and asset performance systems.
  • Excellent communication, leadership, and decision-making skills.
  • Ability to travel frequently across Targa's operational regions and respond to urgent matters outside standard business hours.
  • Familiarity with regulatory frameworks (DOT/PHMSA, EPA, OSHA) and how AI & Emerging Technology can support compliance and performance.
  • Familiarity with pipeline, compressor, gas plant, and fractionator operations and how AI & Emerging Technology can support enhanced performance.

PREFERRED QUALIFICATIONS:
  • Vision to see what can be, with the knowledge to understand deployment limitations.
  • Field engineering and operational background
  • Experience working with startups/partners (scouting, evaluation, pilots/POCs, and scale-up), including navigating ambiguity and fast iteration cycles.
  • Experience supporting investment diligence by translating technical findings into clear decision inputs (technical risks, integration effort, security/data considerations, and scaling path) for business stakeholders.
  • Experience designing testing and acceptance strategies for new technology deployments (requirements, integration testing, cybersecurity considerations, UAT, and operational readiness reviews).
  • Ability to define and track KPIs/value realization for pilots and deployments, including building basic dashboards/scorecards and leading root-cause analysis when outcomes drift from targets.
  • Strong vendor/partner evaluation skills, including reviewing architectures, security posture, data handling, support models, and SLA/operational requirements.
  • Working knowledge of data/AI and automation tooling (e.g., Python, APIs, cloud/edge platforms) and concepts such as model/version governance, system integration, and change management.

EQUAL EMPLOYMENT OPPORTUNITY:
Targa Resources provides equal employment opportunities based on merit, experience, and other work-related criteria and without regard to race, color, ethnicity, religion, national origin, sex, age, pregnancy, disability, veteran status, or any other status protected by applicable law. We also strive to provide reasonable accommodation to employees' beliefs and practices that do not conflict with Targa's policies and applicable law. We value the unique contributions that every employee brings to their role with Targa.

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