$14.75 - $19.75/hr
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Work within an agile development environment with other developers, scrum master, and product ...
$14.75 - $19.75/hr
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Work within an agile development environment with other developers, scrum master, and product ...
Master's degree (or equivalent experience) in Computational Linguistics, NLP, Linguistics, or a ... Hugging Face, Kaggle) * Familiarity with LLM behavior, prompt-based evaluation, and generative ...
Master's degree (or equivalent experience) in Computational Linguistics, NLP, Linguistics, or a ... Hugging Face, Kaggle) * Familiarity with LLM behavior, prompt-based evaluation, and generative ...
AI/ML Research and Development Intern
Reston, VA · On-site +1
$15.50 - $20.75/hr
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Work within an agile development environment with other developers, scrum master, and product ...
AI/ML Research and Development Intern
Reston, VA · On-site +1
$15.50 - $20.75/hr
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Work within an agile development environment with other developers, scrum master, and product ...
Remote Kaggle Master information
See salary details
$19.71 - $24.89
11% of jobs
$30.07 is the 25th percentile. Wages below this are outliers.
$24.89 - $30.07
14% of jobs
$30.07 - $35.25
14% of jobs
The median wage is $38.41 / hr.
$35.25 - $40.43
19% of jobs
$40.43 - $45.61
9% of jobs
$45.61 - $50.79
7% of jobs
$51.65 is the 75th percentile. Wages above this are outliers.
$50.79 - $55.97
6% of jobs
$55.97 - $61.15
3% of jobs
$61.15 - $66.32
3% of jobs
$66.32 - $71.50
6% of jobs
$71.50 - $76.68
7% of jobs
$19
$44
$76
How much do remote kaggle master jobs pay per hour?
As of Jul 7, 2026, the average hourly pay for remote kaggle master in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.
How much do Kaggle masters make?
Kaggle masters often earn variable income depending on their involvement in data science projects, consulting, or competitions. While some leverage their skills for freelance work or employment, there is no fixed salary; earnings can range from part-time consulting to six-figure salaries for experienced professionals with strong portfolios.
What is the difference between Remote Kaggle Master vs Data Scientist?
| Aspect | Remote Kaggle Master | Data Scientist |
|---|---|---|
| Required Credentials | Proven Kaggle competition success, strong coding skills | Degree in data science, statistics, or related field; often some Kaggle experience |
| Work Environment | Remote, competitive, project-based | Typically office or remote, collaborative teams |
| Industry Usage | Used for showcasing data modeling skills | Applied in various industries for data analysis and modeling |
| Search & Comparison Intent | Assessing data modeling expertise | Hiring or understanding data science roles |
While a Remote Kaggle Master demonstrates exceptional data modeling and competition success, a Data Scientist has broader responsibilities including data analysis, feature engineering, and deploying models in real-world applications. Both roles require strong technical skills, but Data Scientists often have formal education and work in diverse environments, whereas Kaggle Masters showcase their skills through competitions.
What does a typical workday look like for a Remote Kaggle Master collaborating with data science teams?
A Remote Kaggle Master often spends their day analyzing datasets, developing and testing machine learning models, and participating in competitions either individually or as part of a team. Collaboration is typically done through virtual meetings, shared code repositories, and online discussion boards, where ideas and progress are regularly exchanged. Additionally, they may mentor junior data scientists, review code, or present findings to stakeholders. Time management and clear communication are key to balancing competition work with organizational goals in a remote setup.
How hard is it to get Kaggle Master?
Becoming a Kaggle Master requires consistently high-quality submissions, strong data science and machine learning skills, and active participation in competitions over time. It typically takes years of experience and dedication to reach this level, as it involves earning multiple medals and demonstrating expertise in various problem types.
Can Kaggle get you a job?
Kaggle Master status demonstrates strong data science and machine learning skills, which can enhance a candidate’s profile when applying for data-related roles. However, securing a job typically also depends on experience, interview performance, and other qualifications beyond Kaggle achievements.
What is a Remote Kaggle Master?
A Remote Kaggle Master is a data science professional who has achieved the 'Kaggle Master' status on the Kaggle platform and works remotely. Kaggle Masters are among the top-ranking members on the platform, recognized for their exceptional performance in machine learning competitions. They often specialize in building and optimizing predictive models, collaborating with international teams, and contributing to open-source projects. Working remotely, they leverage their advanced data science skills for various organizations or as freelancers, often participating in global projects from anywhere in the world.
What are the key skills and qualifications needed to thrive as a Remote Kaggle Master, and why are they important?
To thrive as a Remote Kaggle Master, you need advanced expertise in data science, machine learning algorithms, and strong programming skills in Python or R, often supported by a formal degree in a quantitative field. Familiarity with tools such as Jupyter Notebooks, TensorFlow, scikit-learn, and experience with cloud platforms and version control systems are essential. Creative problem-solving, perseverance, and effective communication are standout soft skills in this role. These competencies are crucial for developing innovative solutions, collaborating with global teams, and consistently achieving high rankings in competitive data science environments.
Is Kaggle relevant in 2026?
Kaggle remains a valuable platform for data scientists and machine learning practitioners, including those pursuing roles like Remote Kaggle Master. It provides opportunities to develop skills, showcase work, and participate in competitions that are recognized by employers, making it relevant for career advancement in data-related fields in 2026.
More about Remote Kaggle Master jobs
What cities are hiring for Remote Kaggle Master jobs? Cities with the most Remote Kaggle Master job openings:
What are the most commonly searched types of Kaggle Master jobs? The most popular types of Kaggle Master jobs are:
What states have the most Remote Kaggle Master jobs? States with the most job openings for Remote Kaggle Master jobs include:
What job categories do people searching Remote Kaggle Master jobs look for? The top searched job categories for Remote Kaggle Master jobs are:
$14.75 - $19.75/hr
Part-time
Posted 16 days ago
Job description
APPLICATION INSTRUCTIONS:
- CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
- CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
- If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
We are seeking graduate students with artificial intelligence/ machine learning (AI/ML) experience to join Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. looking to support our mission to discover, demonstrate, transition, and educate.Interns will have the opportunity to work on cutting-edge AI technologies, participate in a Kaggle-style competition, and develop solutions to problems in computer vision and geospatial understanding.
Students selected will serve as active, hands-on, contributing members of the research staff at ARL. As part of this position, the candidate may:
- Work within an agile development environment with other developers, scrum master, and product owners to scope, develop, and deliver quality software solutions.
- Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and artificial intelligence.
- Contribute to the development, testing, and transition of front and back-end software applications to various IT environments.
- Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, Docker and similar technologies.
- Collaborate with cross-functional teams to integrate machine learning models into existing systems and develop new ones to meet specific project needs.
Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Must have a bachelors degree and be enrolled in a masters or higher level degree program
Experience in machine learning is preferred.
Successful candidates will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid internship located at either State College, PA or Reston, VA. Relocation and housing are not provided.
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).
FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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About Pennsylvania State University
Sourced by ZipRecruiter
Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.
Industry
Education
Company size
11 - 50 Employees
Headquarters location
University Park, PA, US
Year founded
1855