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Remote Petroleum Engineer Jobs in Spring, TX (NOW HIRING)

NobleAI

Lead Machine Learning Engineer

Houston, TX · On-site +1

$97K - $128K/yr

As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI ... Remote-first with co-working access at Industrious offices * 401(k) with employer match * Equity ...

Intersect

Operations Performance Engineer

Houston, TX · On-site +1

$66K - $89K/yr

... remote culture. About This Role As part of Intersect's Technical Operations team, you'll lead the ... Working across Operations, Engineering, Asset Management, Finance, EPC partners, OEMs, and ...

Intersect

Operations Performance Engineer

Houston, TX · Remote

$71K - $96K/yr

... remote culture. About This Role As part of Intersect's Technical Operations team, you'll lead the ... Working across Operations, Engineering, Asset Management, Finance, EPC partners, OEMs, and ...

Aprio

Lead Engineer (Azure)

Houston, TX · On-site +1

$98K - $132K/yr

As a Microsoft Security Engineer, you'll work with cutting-edge Microsoft tools, support high ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

Elutions

Domain Engineer

Houston, TX · Remote

The Engineering Team is seeking a motivated, hard-working Domain Engineer with the ability to integrate energy conservation strategies into real world applications (commissioning data analytics and ...

Baxter & Woodman

Graduate Engineer

Houston, TX · On-site +1

$74K - $77K/yr

Graduate Engineer I Choose your location: Houston or Katy, TX Why you should join our team! Why Baxter & Woodman? At Baxter & Woodman, both seasoned professionals and recent graduates find more than ...

Trilon Group

Regional Lead - Rail Engineer

Houston, TX · On-site +1

$140K - $200K/yr

Regional Lead - Rail Engineer Department: Transportation Employment Type: Full Time Location: Houston, TX Compensation: $140,000 - $200,000 / year Description At Horrocks, we believe the best work ...

American Bureau of Shipping

Engineer I, Senior

Spring, TX · On-site +1

$96K - $132K/yr

The Senior Process Engineer works as a technical expert on the successful delivery of projects for ... We're at the forefront of supporting the global energy transition at sea, the application of remote ...

Hitachi

Foundation and Posture Lead

Houston, TX · Remote

$90K - $130K/yr

... Remote: No The Opportunity At Hitachi Energy, we're shaping the future of the power industry by ... You'll work with passionate experts across IT, engineering, and business functions, translating ...

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Showing results 41-60

All JobsPetroleum Engineer JobsRemote Petroleum Engineer JobsRemote Petroleum Engineer Jobs in Spring, TX

Remote Petroleum Engineer information

See Spring, TX salary details

$37.4K

$71.2K

$121K

How much do remote petroleum engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote petroleum engineer in Spring, TX is $71,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,200.00 and $101,400.00 per year, depending on experience, location, and employer.

How does working remotely impact collaboration and communication for petroleum engineers?

Remote Petroleum Engineers frequently collaborate with multidisciplinary teams, including geologists, drilling managers, and data analysts, using digital communication tools and project management platforms. While remote work offers flexibility, it also requires proactive communication skills and reliable internet connectivity to ensure critical data and updates are shared efficiently. Regular virtual meetings and real-time data dashboards help colleagues stay aligned on project goals and timelines. Successful remote engineers are highly organized and comfortable with technology, allowing them to build strong working relationships and contribute effectively from a distance.

What are the key skills and qualifications needed to thrive as a remote petroleum engineer?

To thrive as a Remote Petroleum Engineer, you need a solid background in petroleum engineering principles, reservoir management, and drilling operations, typically supported by a bachelor's degree in engineering. Familiarity with industry-standard software such as Petrel, Eclipse, and SCADA systems is crucial, and professional certifications like a PE license or SPE membership can be advantageous. Strong analytical thinking, problem-solving abilities, and effective virtual communication are key soft skills for this role. These qualities are vital for ensuring seamless project execution, collaborative teamwork, and accurate decision-making across distributed teams in the energy sector.

What is a remote petroleum engineer?

A Remote Petroleum Engineer analyzes and optimizes oil and gas extraction processes while working from a remote location. They use digital tools, simulations, and real-time data to design drilling plans, monitor operations, and improve reservoir performance. These engineers collaborate with on-site teams to ensure efficiency and safety, often utilizing automation and AI-driven insights. Remote work is possible due to advancements in data transmission, cloud computing, and remote monitoring technologies.

What are popular job titles related to Remote Petroleum Engineer jobs in Spring, TX? For Remote Petroleum Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Petroleum Engineer jobs in Spring, TX look for? The top searched job categories for Remote Petroleum Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Petroleum Engineer jobs? Cities near Spring, TX with the most Remote Petroleum Engineer job openings:
Remote Petroleum Engineer jobs near you
Infographic showing various Remote Petroleum Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $71,214 per year, or $34.2 per hour.

Lead Machine Learning Engineer

NobleAI

Houston, TX • On-site, Remote

$97K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

At NobleAI, we believe that energy, material science and chemistry are key to building a sustainable world and that artificial intelligence is essential to unlock this potential. NobleAI leverages innovative Science-Based AI technology to revolutionize energy workflows, materials development, and chemical designs. We enable companies to accelerate innovation and reduce costs in developing sustainable technologies and products.
We're a team of excellence-driven individuals who value thoughtfulness and respect while focusing on delivering products that empower engineers and researchers to create better solutions faster.
At NobleAI, we are developing the next generation of intelligent chemical informatics platform. Our goal is to create a seamless, intuitive experience that empowers users to achieve unprecedented productivity in data processing, visualization, and model building. We are seeking a forward-thinking team member who thrives on innovation, collaboration, and rapid iteration, and has the ability to solve challenging problems in science and technology.
As a Lead Machine Learning Engineer specializing in conversational and agentic systems at NobleAI, you will be responsible for architecting, building, and deploying intelligent features to our VIP platform. This role is ideal for individuals passionate about the cutting edge of LLMs and eager to build AI systems that can reason, plan, and act.
Join us in building a more sustainable world through the power of AI and scientific innovation.
Requirements
  • Design domain specific AI systems and chatbots capable of complex dialogue management and workflow execution via tools, API calls and multi step tasks based on user goals, multi-agent orchestration.
  • Collaborate with scientists to assess, fine-tune, and deploy LLMs on domain specific data to support accuracy measurement for use cases
  • Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models.
  • Collaborate with product and software engineers to integrate the features into our platform.
  • Establish prompt engineering and data management best practices for transparency and governance.
  • Establish best practices for monitoring and evaluation of data and models across the model lifecycle (development, testing, and production)
  • Keep a pulse on the latest advancements in NLP, LLMs, and agentic AI research, and act as a subject matter expert on architecture decisions on platform and use cases.

What We're Looking For
  • MSc (preferred) or BSc in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of hands-on experience building and deploying AI/ML systems, with a strong focus on Natural Language Processing (NLP).
  • Proven experience designing and shipping chatbots, virtual assistants, or agentic systems using modern LLM-based architectures.
  • Strong programming proficiency in Python (5+ years) and deep experience with core ML/NLP libraries such as PyTorch, TensorFlow
  • Hands-on experience with LLM agent frameworks for building complex, tool-using applications, multi-agent orchestration, or establishing MCP services for platform capabilities.
  • Demonstrated experience with Retrieval-Augmented Generation (RAG), including the use of vector databases like Pinecone, Weaviate, or ChromaDB.
  • Familiarity with techniques for fine-tuning LLMs (e.g., LoRA/QLoRA) and experience working with open-source models (e.g., Llama, Mistral) or major model APIs (e.g., OpenAI, Anthropic).
  • 5+ years of experience with cloud platforms (Azure preferred) and familiarity with deploying AI models as scalable microservices using Docker and Kubernetes (KFP, KServe).
  • Solid software engineering fundamentals, including version control (Git), automated testing, and CI/CD principles.
  • Excellent communication skills with the ability to articulate complex technical ideas to both technical and non-technical stakeholders.

Benefits
We offer great pay & benefits.
  • Top-tier health benefits coverage, including medical, dental, vision, disability and life insurance
  • Flexible paid time off & generous holidays
  • Remote-first with co-working access at Industrious offices
  • 401(k) with employer match
  • Equity package
  • Salary Range $190,000 - $205,000 (Depending on experience & Geographic location)
  • Performance-based bonus plan

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