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Remote Machine Learning Jobs in Stilwell, KS (NOW HIRING)

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Remote within the United States HOW YOU'LL SPEND YOUR TIME * Threat Detection & Behavioral Analysis: Design and implement statistical models, anomaly detection algorithms, and machine learning ...

Relativity

Principal Applied Scientist

Kansas City, MO · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

micro1 AI

Engineering AI Evaluator (PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Kansas City, MO · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

DataAnnotation

QA Engineer - AI Trainer

Kansas City, KS · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Independence, MO · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Kansas City, MO · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Stilwell, KS

Remote Machine Learning information

See Stilwell, KS salary details

$25.3K

$42.3K

$87.3K

How much do remote machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning in Stilwell, KS is $42,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Stilwell, KS? The most popular types of Machine Learning jobs in Stilwell, KS are:
What cities near Stilwell, KS are hiring for Remote Machine Learning jobs? Cities near Stilwell, KS with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Sr Data Scientist

Sr Data Scientist

Ascend Learning

Leawood, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

We Impact Lives Through Purpose-Driven Work in A People First Culture
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.
Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 Greatest Workplaces as well as America's Best Places to work for Mental Well-Being for 2025.
We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.
WHAT YOU'LL DO
As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the analytical engine behind Ascend Learning's test security function - building the models, reports, and intelligence that empower security analysts and Psychometricians across our portfolio of brands to protect the integrity of every assessment we deliver. You'll leverage a modern data stack (Snowflake, SQL Server, Tableau) and apply statistical modeling and machine learning to surface insights that drive decisions at the highest levels of the organization, working alongside a team of seasoned data professionals who bring deep expertise across the full data lifecycle.
WHERE YOU'LL WORK
  • Remote within the United States

HOW YOU'LL SPEND YOUR TIME
  • Threat Detection & Behavioral Analysis: Design and implement statistical models, anomaly detection algorithms, and machine learning pipelines to identify suspicious test-taking patterns, proxy testing, impersonation, and item exposure across large-scale assessment datasets.
  • Advanced Modeling: Build and maintain predictive and classification models - including logistic regression, clustering, random forest, and NLP-based flagging - to surface security risks and prioritize investigation queues.
  • Executive Communication: Independently prepare and present findings, dashboards, and security briefings to senior leadership - translating complex analytical outputs into clear, actionable narratives.
  • Incident Reporting: Author detailed analytical reports supporting security investigations, including methodology documentation, evidence summaries, and recommended actions.
  • SQL Development: Write and maintain complex Snowflake SQL and T-SQL - stored procedures, views, and optimized queries - across Snowflake and SQL Server environments, integrating data from disparate sources including NoSQL, data lakes, APIs, and external data providers; contributing to EDW Gold layer development for exam security use cases.
  • Tableau Dashboards: Design, build, and maintain Tableau dashboards that surface key security metrics, incident trends, and performance indicators for both operational teams and senior leadership.
  • Cross-Functional Collaboration: Partner with Psychometricians, Data Engineering, IT security, and remote proctoring vendors to align on analytical requirements, data quality standards, and the technology landscape - ensuring security data is accurate, timely, and fit for analysis.
  • Requirements Translation: Convert ambiguous needs from Test Security, IT, Legal, and Operations into well-defined analytical requirements and data specifications, maintaining clear documentation of models and methodologies throughout.

WHAT YOU'LL NEED
  • Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational Measurement, or a closely related quantitative field. Master's degree preferred in a quantitative discipline; familiarity with psychometric methods; experience with remote proctoring platforms; exposure to Medallion/EDW architectures in Snowflake; background in test security, fraud detection, or behavioral analytics at scale
  • 5+ years of experience in data analysis or data science with demonstrated progression in technical scope and complexity
  • Expert-level SQL across both Snowflake and SQL Server - stored procedures, query optimization, and complex multi-source joins
  • Proven experience building statistical models and applying machine learning techniques such as classification, clustering, and anomaly detection in a production or near-production context
  • Proficiency in Python, R, Snowflake ML for statistical analysis and model development
  • Experience building and publishing Tableau dashboards for operational and executive audiences
  • Demonstrated ability to communicate complex findings clearly and persuasively to non-technical stakeholders, including senior leadership
  • Strong business acumen with the ability to prioritize analytical work by impact and translate ambiguous questions into structured analytical frameworks
  • Proven experience working cross-functionally with engineering, product, and IT teams and engaging with vendor technologies

BENEFITS
  • Flexible and generous paid time off
  • Competitive medical, dental, vision and life insurance
  • 401(k) employer matching program
  • Parental leave
  • Wellness resources
  • Charitable matching program
  • On-site workout facilities (Leawood, Gilbert, Burlington)
  • Community outreach groups
  • Tuition reimbursement

Fostering A Sense of Belonging
Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.
Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

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