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

Welo Data

Online Data Analyst - Remote

Wichita, KS · Remote

$14.50/hr

Schedule & Support: Fully remote position Set your own schedule and complete tasks when it ... learning modules and a required quality test designed by our client before starting work. In ...

Ag

Design - Stress - MRB Engineer

Wichita, KS · On-site +1

$52.50 - $72/hr

Our Engineers have the privilege of working on complex, highly engineered machines and are involved ... Onsite or remote: Onsite 90% * Vision: able to see and read computer screens and other electronic ...

Relativity

Advanced Software Engineer

Wichita, KS · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong focus on operational excellence, observability, postincident learning, and raising the ...

Relativity

Software Engineer

Wichita, KS · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... learning. Compensation and Benefits * Competitive salary, health and retirement programs, wellness ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Wichita, KS

Remote Machine Learning information

See Wichita, KS salary details

$22.8K

$38.1K

$78.7K

How much do remote machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote machine learning in Wichita, KS is $38,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,100.00 and $41,200.00 per year, depending on experience, location, and employer.

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.

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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.
More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Wichita, KS? The most popular types of Machine Learning jobs in Wichita, KS are:
What are popular job titles related to Remote Machine Learning jobs in Wichita, KS? For Remote Machine Learning jobs in Wichita, KS, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Wichita, KS look for? The top searched job categories for Remote Machine Learning jobs in Wichita, KS are:
What cities near Wichita, KS are hiring for Remote Machine Learning jobs? Cities near Wichita, KS with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Online Data Analyst - Remote

Online Data Analyst - Remote

Welo Data

Wichita, KS • Remote

$14.50/hr

Part-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

OVERVIEW
 
Welo Data is looking for English speakers to join a remote project as a Search Quality Rater. In this role, you will help improve how search engines understand and deliver useful results to users.
 
What you’ll do:
Review search results and evaluate how helpful and relevant they are to the user’s query
Answer simple true/false questions about the quality of content
Rate whether search results meet the user’s needs using clear guidelines
Complete straightforward online tasks that contribute to improving AI systems
 
No specialized technical experience is required - we provide the guidelines and support you need to succeed!
 
Please click here for a short demo of these types of tasks: What Does a Search Quality Rater Do? (youtube.com)
 
Why this work matters:
Your feedback helps train and improve AI technology, making search engines smarter and more useful for people around the world.
 
Schedule & Support:
Fully remote position
Set your own schedule and complete tasks when it’s convenient for you
Support is available from the project management team during business hours (Monday–Friday, 9:00 AM – 5:30 PM Pacific)
 
 
Project Details
 
Job Title: Search Quality Rater
Location: Remote, US-based
Hours: Variable; 10-hour target (up to 29 hours max)
Note on Availability: As a project-based role, task volume fluctuates. Raters are expected to meet the 10-hour minimum when tasks are available in the queue.
Start date: ASAP
Employment Type: W2 Part-Time Employee, payment every 2 weeks
Longevity of project: 12 months (with possibility of extension).
 
This work is based on project needs. Weekly hours may vary.
 
Benefits
Employee Assistance Program 
 
Following eligibility requirements
Paid Sick Time
Medical Insurance
Dental Insurance
Vision Insurance
HSA
Voluntary Life Insurance
Accident, Critical Illness, Hospital Indemnity Insurance
401(k) Retirement Plan
 
Currently hiring in: Alabama, Florida, Georgia, Indiana, Kansas, Kentucky ,Montana, New Hampshire, North Carolina, Ohio, Oklahoma, Pennsylvania ,South Carolina, Tennessee, Texas, Utah, Virginia, West Virginia, Wisconsin.
 
Applicants must be of at least 18 years of age to apply.
Requirements
  • Fluency in English, both written and spoken;
  • Strong understanding of the popular culture in the United States;
  • Excellent online research skills;
  • Web-savvy and able to work in a fast-paced environment;
  • Reliable computer system and internet connection;
  • Reliable anti-virus software (as you will be surfing the web as part of the work);
  • Ability to follow instructions in English and comply with the project conventions and rules expected by the client;
  • Must be dedicated only to "Search Quality rating program" and not other search or ads rating programs.
Recruitment process
  • Application & Initial Screening: Submit your interest through our Careers Page and answer a few brief project-related questions.
  • Candidate Portal Registration: Keep an eye on your inbox! You’ll receive an invite to create your profile on our internal platform, where you will complete your final application steps.
  • Skill & Language Evaluation: Take a quick assessment to showcase your linguistic expertise.
  • Project Guidance: Access our exclusive "Know-How" guides and project documentation to set you up for success.
  • Client Exam: Complete a client entrance exam to ensure you're ready for the live project.
  • Onboarding & Launch: Once verified (ID & Tax only), you’ll be officially onboarded. Set your own schedule and start working!
Privacy Notice
  • In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Additionally, we employ anti-fraud checks to ensure all candidates meet program requirements. At Welocalize, we are committed to protecting your privacy. We collect and process personal data responsibly and transparently, ensuring its confidentiality and security. Personal information collected during the hiring process will be used solely for employment eligibility verification and compliance with legal obligations. We do not share your information with third parties without your explicit consent, except as required by law. Our Privacy Policy outlines how we handle your personal data, including the types of information we collect, how we use it, and the measures we take to protect it. We are dedicated to maintaining the accuracy, confidentiality, and security of your personal information. For more details, please review our Privacy Policy, which provides comprehensive information about our data collection, usage, and protection practices.
To be successful in the process, candidates must sign a Non-Disclosure Agreement to protect client confidentiality and pass learning modules and a required quality test designed by our client before starting work.
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
If you are currently working or have previous experience as an "Ads Quality Rater", unfortunately, you will not be able to work on our Search Quality Rating project.
 
However, we often have an open Ads Rating job posting. Please check our careers page here to apply: https://jobs.lever.co/welocalize
 
Please apply with your Gmail address to comply with Client specific requirements.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.