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Remote Kaggle Master Jobs (NOW HIRING)

Alignerr

Senior Machine Learning Expert

Manhattan, NY · Remote

$95K - $118K/yr

Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating elite-level ... Fully remote and flexible - work when and where it suits you * Freelance autonomy with the ...

Alignerr

Senior Machine Learning Expert

Denver, CO · Remote

$89K - $110K/yr

Remote * Commitment : 10-40 hours/week What You'll Do * Author complex, high-fidelity reasoning ... Top-tier Kaggle competition results (Grandmaster or Master level) - demonstrating advanced model ...

The Pennsylvania State University

$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 ...

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Remote Kaggle Master information

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$19

$44

$76

How much do remote kaggle master jobs pay per hour?

As of Jun 16, 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.

What is the difference between Remote Kaggle Master vs Data Scientist?

AspectRemote Kaggle MasterData Scientist
Required CredentialsProven Kaggle competition success, strong coding skillsDegree in data science, statistics, or related field; often some Kaggle experience
Work EnvironmentRemote, competitive, project-basedTypically office or remote, collaborative teams
Industry UsageUsed for showcasing data modeling skillsApplied in various industries for data analysis and modeling
Search & Comparison IntentAssessing data modeling expertiseHiring 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.

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.
More about Remote Kaggle Master jobs
What cities are hiring for Remote Kaggle Master jobs? Cities with the most Remote Kaggle Master job openings:
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Remote Kaggle Master jobs near you
Infographic showing various Remote Kaggle Master job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.

Senior Machine Learning Expert

Alignerr

Manhattan, NY • Remote

$95K - $118K/yr

Other

Posted 11 days ago

Job description

Senior Machine Learning Expert (AI Training)
About the Role
What if your deep expertise in machine learning could directly shape how the next generation of AI systems reason, plan, and make decisions? We're looking for Senior Machine Learning Experts to author high-fidelity reasoning traces - the step-by-step thinking that teaches large language models how to tackle complex, real-world problems.
This is a fully remote, flexible contract role built for senior-level ML professionals who understand model behavior from the inside out. If you've spent years thinking about how intelligent systems should reason, this is your opportunity to put that knowledge to work at the frontier of AI development.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Author complex, high-fidelity reasoning traces for sophisticated technical tasks - capturing how an LLM should plan, use tools, and make decisions step by step
  • Design structured traces that reflect expert-level thinking across real-world ML scenarios
  • Review and mentor trace quality, ensuring optimal documentation of planning, tool use, and decision-making
  • Develop data strategies that help LLMs navigate intricate, multi-step problem-solving
  • Apply senior-level architectural insights to ensure model reasoning is reliable, logical, and well-documented
  • Work independently and asynchronously - fully on your own schedule
Who You Are
  • Significant hands-on experience in machine learning, AI research, or a closely related technical field
  • Deep understanding of LLM behavior, model reasoning, and how AI systems process and solve problems
  • Proven ability to decompose complex, ambiguous problems into clear, logical, and well-documented steps
  • Experienced with advanced LLM evaluation and training methodologies
  • Strong written communicator who can articulate structured reasoning with precision
  • Detail-oriented and methodical - you think carefully about why a model should take each step, not just what to do
Nice to Have
  • Prior experience with data annotation, data quality assurance, or AI evaluation systems
  • Top-tier Kaggle competition results (Grandmaster or Master level), demonstrating elite-level understanding of model performance and feature engineering
  • Background in MLOps, model interpretability, or AI safety research
  • Experience writing technical documentation or structured training data for AI systems
Why Join Us
  • Work directly with cutting-edge LLMs at the frontier of AI research
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact technical work
  • Collaborate with a global team contributing to some of the most advanced AI projects in the world
  • Meaningful work: the traces you write will directly shape how future AI models reason and make decisions
  • Potential for ongoing work and contract extension as new projects launch

Apply