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How much do internship fieldwork research jobs pay per month?

As of May 31, 2026, the average monthly pay for internship fieldwork research in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What is the difference between Internship Fieldwork Research vs Field Research Assistant?

AspectInternship Fieldwork ResearchField Research Assistant
Required CredentialsTypically students or entry-level with relevant courseworkOften requires some college coursework or related experience
Work EnvironmentSupervised, educational setting often with academic institutionsField sites, research labs, or outdoor environments
Employer & Industry UsageUniversities, research institutes, NGOsResearch organizations, environmental agencies, universities
Common Search & Comparison IntentUnderstanding internship roles in researchClarifying responsibilities of research assistants

Internship Fieldwork Research typically involves students gaining hands-on experience under supervision, focusing on learning and supporting ongoing projects. Field Research Assistants are more experienced, assisting with data collection and analysis in field settings. Both roles are vital in research projects but differ mainly in experience level and scope of responsibilities.

What cities are hiring for Internship Fieldwork Research jobs? Cities with the most Internship Fieldwork Research job openings:
What are the most commonly searched types of Fieldwork Research jobs? The most popular types of Fieldwork Research jobs are:
What states have the most Internship Fieldwork Research jobs? States with the most job openings for Internship Fieldwork Research jobs include:
Internship Fieldwork Research jobs near you

2026 - Internship, Quantitative Research

Qube Research & Technologies

Houston, TX

Other

Posted 19 days ago

Job description

Q-Tx LLC, based in Houston, Texas, is an independent commodities trading business, leveraging our passion for data, research, technology and trading expertise to deliver consistent and high-quality returns for our investors.

We are affiliated with Qube Research and Technologies, a global quantitative and systematic investment manager.

Your future role at Q-Tx   

As a Quantitative Research Intern, your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

We're looking for interns who are curious, creative, and collaborative. If you're passionate about learning, excited to take on challenges, and ready to make a real impact, you'll find plenty of opportunities to grow with us. 

Your present skillset   

  • Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   
  • High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   
  • Coding skills required in at least one leading programming language (Python and C++ or C#)  
  • Experience in exploring large datasets across multiple time frames is a plus  
  • Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   
  • Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  
  • Excellent communication skills  
  • Fluent in English, any other language is a plus  

Interviewing:   

  • Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 
  • Interviews conducted on-site or through Microsoft Teams which will allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

Apply