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Part Time Full Stack Machine Learning Engineer Jobs in Dallas, TX

... full-stack, systems, or infrastructure-related problems. On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security ...

... full-stack, systems, or infrastructure-related problems. On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security ...

... full-stack, systems, or infrastructure-related problems. On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security ...

... full-stack, systems, or infrastructure-related problems. On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security ...

... engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems. On this project, you will be creating Reinforcement Learning Environments which ...

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Allen, TX · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Irving, TX · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Dallas, TX · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Plano, TX · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Mckinney, TX · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

JavaScript Tutor

Carrollton, TX · Remote

$18 - $40/hr

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

JavaScript Tutor

Allen, TX · Remote

$18 - $40/hr

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Showing results 1-20

Part Time Full Stack Machine Learning Engineer information

See Dallas, TX salary details

$44K

$133.3K

$188.4K

How much do part time full stack machine learning engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for part time full stack machine learning engineer in Dallas, TX is $133,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $156,300.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Full Stack Machine Learning Engineer vs Part Time Data Scientist?

AspectPart Time Full Stack Machine Learning EngineerPart Time Data Scientist
CredentialsTypically requires machine learning, software engineering, and programming skillsRequires statistics, data analysis, and programming skills
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights
Industry UsageUsed in tech, finance, healthcare for deploying intelligent systemsUsed across industries for data analysis and reporting

While both roles involve data and programming, the Part Time Full Stack Machine Learning Engineer focuses on building and deploying machine learning models within full-stack applications, whereas the Part Time Data Scientist primarily analyzes data to generate insights. The former requires more software engineering skills, while the latter emphasizes statistical analysis.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Dallas, TX? The most popular types of Full Stack Machine Learning Engineer jobs in Dallas, TX are:
What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in Dallas, TX look for? The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Part Time Full Stack Machine Learning Engineer jobs? Cities near Dallas, TX with the most Part Time Full Stack Machine Learning Engineer job openings:
Software Engineer - AI Trainer

Software Engineer - AI Trainer

micro1 AI

Fort Worth, TX • Remote

$40 - $75/hr

Part-time

Posted 23 days ago


Job description

Job Title: Software Engineering


Job Type: Contractor (10-15 hours per week)

Location: Remote


Job Summary:


We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems.


On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a reproducible RL env in which a known CVE is present/injected in the repository and must be fixed by the model.


As an expert you will be creating Reinforcement Learning Environments which test and AI model’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. 3+ years of hands-on software engineering experience.
  2. Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, , Java, C++, Go or Rust
  3. A Cybersecurity/SecOps background or exposure is highly preferred
  4. Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs.
  5. Ability to explain complex engineering decisions clearly and objectively.
  6. Comfortable reading and reasoning through unfamiliar code or technical requirements


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 expert’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 24–48 hours of completing onboarding.