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Intern Seismic Data Processing Jobs (NOW HIRING)

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

We're looking for an intern to help build the data foundation for this agent, with a focus on ... Strong skills in Python, SQL, and data processing. * Experience working with structured and ...

NFP Corp

AI and BI Data Intern

Chicago, IL · On-site

$18 - $24/hr

The intern will work closely with the Senior Data Architect and the Business Intelligence ... Development & Data Processing * Develop and run Python-based data processing workflows using ...

DUG

Experienced Land Geophysicist

Houston, TX · On-site

Seismic time processing and depth imaging of 2D and 3D, land seismic data (from field data to final product) including design of processing flows; selection and testing of processing parameters ...

HDR

Geophysicist 1

Englewood, CO · On-site

Manage geophysical projects involving, Utilities, Seismic, Electro-magnetics, Magnetics, GPR as they come available, including field work, data processing and reporting. Manage sampling projects ...

HDR

Geophysicist 1

Englewood, CO · On-site

... Seismic, Electro-magnetics, Magnetics, GPR as they come available, including field work, data processing and reporting. • Manage sampling projects local to Colorado. • Provide pothole oversight ...

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Intern Seismic Data Processing information

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How much do intern seismic data processing jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for intern seismic data processing 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.

Is 22 too old for an internship?

Intern seismic data processing internships are typically open to candidates of various ages, including those in their early twenties. Age is generally not a barrier if you have the required skills, such as knowledge of seismic data analysis and processing tools, and meet the internship's educational or experience requirements.

What are the key skills and qualifications needed to thrive as an Intern Seismic Data Processing, and why are they important?

To thrive as an Intern Seismic Data Processing, you typically need a background in geophysics, geology, or a related field, along with strong analytical and mathematical skills. Familiarity with seismic processing software such as ProMAX or Petrel, and programming languages like Python or MATLAB, is often required. Attention to detail, problem-solving ability, and effective teamwork are valuable soft skills in this role. These competencies are crucial to accurately process and interpret seismic data, contributing to successful exploration and analysis projects.

What are some common challenges faced by an Intern in Seismic Data Processing, and how can they be addressed?

Interns in Seismic Data Processing often encounter challenges such as understanding complex data formats, mastering specialized processing software, and interpreting geophysical results accurately. Overcoming these hurdles typically involves hands-on practice with industry-standard tools, seeking guidance from experienced team members, and actively participating in training sessions. Collaborating closely with geophysicists and software engineers can also help interns build a strong foundational knowledge and gain confidence in analyzing and processing seismic datasets.

What is the difference between Intern Seismic Data Processing vs Intern Geophysical Data Analysis?

AspectIntern Seismic Data ProcessingIntern Geophysical Data Analysis
Required CredentialsBasic geophysics knowledge, coursework in seismic methods, possibly some programming skillsSimilar credentials, often with additional focus on data interpretation and analysis techniques
Work EnvironmentSeismic data labs, field data collection sites, processing software environmentsOffice-based, data interpretation labs, software for geophysical analysis
Employer & Industry UsageOil & gas companies, seismic service providers, exploration firmsOil & gas, mineral exploration, environmental consulting
Common Search & ComparisonYesYes

Intern Seismic Data Processing focuses on handling raw seismic data, applying processing techniques to prepare data for interpretation. Intern Geophysical Data Analysis involves interpreting processed data to identify geological features. Both roles require similar foundational knowledge but differ in their primary tasks within the exploration process.

What are 5 potential seismology jobs?

Potential seismology jobs include seismic data analyst, seismic interpreter, geophysical technician, seismic processing engineer, and research scientist. These roles often require skills in data analysis, knowledge of seismic software, and understanding of earth sciences. They can be found in academia, government agencies, and private energy companies.

What professions use seismic data?

Seismic data is used by geophysicists, geologists, and seismic data processors to study Earth's subsurface, often for oil and gas exploration, mineral prospecting, or earthquake research. These professionals analyze seismic signals using specialized software and equipment to interpret subsurface structures and properties.

What does an Intern in Seismic Data Processing do?

An Intern in Seismic Data Processing assists geophysicists and engineers in analyzing raw seismic data to create images of the Earth's subsurface. Typical tasks include data quality control, preprocessing, noise removal, and supporting the interpretation of seismic results using specialized software. This role helps develop technical and analytical skills in geoscience and is crucial in industries like oil and gas exploration or earthquake analysis. Interns often work on real datasets and collaborate with multidisciplinary teams to support exploration or research projects.

What is seismic data processing?

Seismic data processing involves analyzing raw seismic signals collected during geophysical surveys to create accurate subsurface images. This process includes steps like filtering, stacking, and migration, often using specialized software and requiring knowledge of geology and signal processing techniques. It is essential for identifying underground structures in exploration and production environments.
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Intern Seismic Data Processing jobs near you
Infographic showing various Intern Seismic Data Processing job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

AI Agent Data Pipeline Intern

XPENG

Santa Clara, CA • On-site

Other

Re-posted 28 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
Our team builds platform capabilities that support the development and deployment of Autonomous Driving AI models. We work closely with Machine Learning Engineers to improve efficiency, quality, and reliability of the experiment lifecycle, from planning and execution to analysis and deployment readiness.
 
We are building an LLM-powered agent to help MLEs collect experiment context, analyze experiment progress and results, and surface useful insights across ongoing model development work.
 
We're looking for an intern to help build the data foundation for this agent, with a focus on cleaning, organizing, and connecting various data sources, especially noisy chat and meeting data. The intern will help build data pipelines and LLM-assisted data cleaning workflows that allow the agent to correctly retrieve, interpret, and reason over experiment-related information. Depending on progress and interest, the intern may also help fine-tune LLM-based models using curated experiment data to improve agent performance on domain-specific tasks.
 
Key Responsibilities
  • Build pipelines to ingest and organize experiment-related data from team communications, meeting notes, experiment plans, analysis documents, metrics, and evaluation results.
  • Use LLM-based methods to clean noisy unstructured data, extract experiment-relevant information, and convert fragmented discussions into structured records.
  • Design data schemas, metadata, and quality checks that make experiment context easier to search, trace, and use in downstream agent workflows.
  • Support retrieval and indexing workflows, including semantic search or RAG-style pipelines, so the agent can access relevant experiment context.
  • Prepare curated datasets for agent evaluation and, where applicable, LLM fine-tuning or instruction-tuning.
  • Work with MLEs and platform engineers to understand experiment workflows, data gaps, and the types of insights most useful for planning and analysis.
  • Evaluate whether the agent uses curated experiment data correctly to generate summaries, comparisons, recommendations, and analysis insights.
  • Contribute to internal tools, dashboards, or reports that help teams monitor experiment status, outcomes, and trends. 
Qualifications
  • Strong skills in Python, SQL, and data processing.
  • Experience working with structured and unstructured data, including text-heavy sources such as documents, notes, messages, or logs.
  • Familiarity with data pipelines, ETL workflows, or large-scale data processing.
  • Interest in LLM development, LLM evaluation, agentic AI systems, RAG pipelines, semantic retrieval, prompt engineering, or LLM-assisted data processing.
  • Familiarity with machine learning workflows, model training, evaluation metrics, or MLOps concepts.
  • Strong analytical thinking and attention to data quality, consistency, and reliability.
  • Comfort working with ambiguous data sources and collaborating with ML and platform engineers to clarify requirements.
  • Previous experience building internal tools, automation scripts, or data quality checks.
What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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