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Data Science Research Assistant Remote Jobs in Wichita, KS

TSMG

AI/ML Data Contributor

Wichita, KS · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Varsity Tutors

College Statistics Tutor

Wichita, KS · Remote

$18 - $40/hr

... data analysis, interpreting software output, and communicating findings. Emphasizes conceptual understanding of inference and connects statistics to social science research, public health, and ...

Varsity Tutors

AP Statistics Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of exploring data, sampling and experimental design, probability, random variables ... social science research, public policy, and medical studies. * Curriculum Awareness & Adaptive ...

Varsity Tutors

AP Research Tutor

Wichita, KS · Remote

$18 - $40/hr

... design, data collection and analysis, academic writing conventions, and oral presentation ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Workiva

Spring 2027 Intern - Data Analytics

Wichita, KS · On-site +1

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

micro1 AI

Cheminformatics Specialist - Remote

Wichita, KS · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Data Science Research Assistant Remote information

See Wichita, KS salary details

$7

$19

$28

How much do data science research assistant remote jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data science research assistant remote in Wichita, KS is $19.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $22.79 per hour, depending on experience, location, and employer.

What is a data science research assistant remote?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.

What are the key skills and qualifications needed to thrive as a data science research assistant remote?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote data science research assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

What is the difference between Data Science Research Assistant Remote vs Data Analyst Remote?

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What are popular job titles related to Data Science Research Assistant Remote jobs in Wichita, KS?

For Data Science Research Assistant Remote jobs in Wichita, KS, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant Remote jobs in Wichita, KS look for?

The top searched job categories for Data Science Research Assistant Remote jobs in Wichita, KS are:

What cities near Wichita, KS are hiring for Data Science Research Assistant Remote jobs?

Cities near Wichita, KS with the most Data Science Research Assistant Remote job openings:

Data Science Research Assistant Remote jobs near you
Infographic showing various Data Science Research Assistant Remote job openings in Wichita, KS as of June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 9% Part Time, 2% Temporary, 3% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $40,768 per year, or $19.6 per hour.

AI/ML Data Contributor

TSMG

Wichita, KS • Remote

Full-time

Re-posted 4 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.