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Part Time Remote Machine Learning Jobs in Texas (NOW HIRING)

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

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Part Time Remote Machine Learning information

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle some tasks, MLEs are essential for creating, tuning, and overseeing complex models, making complete replacement unlikely in the near term. Their expertise in data handling, model optimization, and deployment remains critical in AI development environments.

How to make $1000 a week remotely?

A part-time remote machine learning role can generate $1000 weekly by working on high-demand projects, leveraging skills in programming, data analysis, and model development. Earning this amount typically requires consistent effort, specialized knowledge, and possibly multiple freelance or contract assignments, often with flexible schedules and the use of online platforms to find opportunities.

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

To thrive as a Part Time Remote Machine Learning professional, you need a strong grasp of mathematics, statistics, programming (commonly Python), and a relevant educational background such as a degree in computer science or a related field. Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn, PyTorch) and version control systems like Git is typically required. Excellent time management, self-motivation, and clear communication skills are crucial for navigating remote collaboration and project deadlines. These skills ensure that you can independently deliver high-quality ML solutions while effectively contributing to distributed teams.

What are part time remote machine learning jobs?

Part time remote machine learning jobs are positions where professionals work on machine learning projects or tasks for a limited number of hours per week, and do so from a location outside the traditional office environment, often from home. These roles typically involve developing, testing, or deploying machine learning models, analyzing data, and collaborating with teams online. They are ideal for people seeking flexibility, such as students, freelancers, or individuals balancing other commitments, while contributing to projects in fields like AI, data science, or analytics.

How do part-time remote machine learning roles typically structure collaboration and communication with the rest of the team?

Part-time remote machine learning professionals often collaborate with teams using digital tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular check-ins, virtual stand-ups, and shared documentation ensure alignment on project goals and timelines despite differing work hours. Clear communication and proactive updates are important, as team members may be dispersed across time zones and working non-overlapping schedules. Flexibility and self-motivation are key to staying connected and contributing effectively in this distributed work environment.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and strong contributions to high-impact projects can earn salaries approaching or exceeding $500,000 annually, especially in top tech companies or through equity and bonuses. Such roles often require advanced degrees, specialized knowledge, and a track record of innovation in AI and data science.

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

AspectPart Time Remote Machine LearningPart Time Remote Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, collaborative teams, project-focused
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research
Common Search IntentPart Time Remote Machine Learning jobs, freelance ML rolesPart Time Remote Data Scientist jobs, freelance data roles

Part Time Remote Machine Learning roles focus on developing algorithms and models, often requiring programming and ML frameworks. Part Time Remote Data Scientist positions involve analyzing data, creating insights, and may include statistical analysis. Both roles are remote and flexible but differ in core responsibilities and skill sets.

How to make 2000 a week working from home?

A part-time remote machine learning role can potentially generate $2,000 weekly if you have advanced skills, relevant experience, and access to high-paying projects or freelance platforms. Building a strong portfolio, specializing in in-demand areas like deep learning or NLP, and leveraging platforms such as Upwork or Toptal can help achieve this income level. Consistent effort, continuous learning, and effective client management are essential for reaching such earnings.
What are the most commonly searched types of Remote Machine Learning jobs in Texas? The most popular types of Remote Machine Learning jobs in Texas are:
What are popular job titles related to Part Time Remote Machine Learning jobs in Texas? For Part Time Remote Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Machine Learning jobs in Texas look for? The top searched job categories for Part Time Remote Machine Learning jobs in Texas are:
What cities in Texas are hiring for Part Time Remote Machine Learning jobs? Cities in Texas with the most Part Time Remote Machine Learning job openings:
Senior Software Engineer - AI Trainer

Senior Software Engineer - AI Trainer

micro1 AI

Fort Worth, TX โ€ข Remote

$100 - $230/hr

Part-time

Posted 21 days ago


Job description

Job Title: Senior Software Engineer


Job Type: Contractor (~15 hrs a week)


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.


As an expert you will be creating Reinforcement Learning Environments which test and AI modelโ€™s ability to solve complex software engineering problems related to fixing code, creating features, refactoring code and optimizing performance. You will be tasked with creating a reproducible environment and golden reference solution for the problem.




Required Skills and Qualifications:

  1. Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  2. Deep understanding of algorithms, data structures, and performance tuning.
  3. Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  4. Strong background in feature development and codebase refactoring.
  5. Proven ability to optimize software for performance and scalability.
  6. Exceptional written and verbal communication skills, with a keen attention to detail.
  7. Track record of success in collaborative, cross-functional teams, ideally in remote settings.



Preferred Qualifications:

  1. Previous experience working on large-scale, distributed codebases.
  2. Familiarity with modern AI or machine learning systems is a plus, though not required.
  3. Background in participating in rigorous code reviews and contributing to the development of software best practices.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expertโ€™s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24โ€“48 hours of completing onboarding.