2

Remote Python Ai Jobs in Houston, TX (NOW HIRING)

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience Required: 6-8 Years Role Descriptions: Strong backend development experience in Python, TypeScript ...

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... Expertise in Python, TypeScript, Node.js, Java, Go, or similar backend technologies. Strong ...

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... Strong experience in at least one backend or full-stack engineering environment, such as Python ...

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... Strong experience in at least one backend or full-stack engineering environment, such as Python ...

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate ... Strong experience in at least one backend or full-stack engineering environment, such as Python ...

next page

Showing results 1-20

Remote Python Ai information

See Houston, TX salary details

$12

$55

$82

How much do remote python ai jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote python ai in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Python AI Developer, and why are they important?

To thrive as a Remote Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and relevant certifications such as TensorFlow Developer are highly valued. Exceptional problem-solving abilities, self-motivation, and effective remote communication skills help set professionals apart in this distributed role. These capabilities are critical for developing robust AI solutions, collaborating across virtual teams, and delivering impactful results in a rapidly evolving field.

What are Remote Python AI jobs?

Remote Python AI jobs are positions that involve developing, implementing, or maintaining artificial intelligence solutions using the Python programming language, all while working from a remote location. These roles can include tasks such as building machine learning models, automating data analysis, and deploying AI-powered applications. Professionals in these jobs collaborate with teams online, use cloud-based tools, and contribute to a variety of industries such as tech, finance, healthcare, and more. Python is a popular choice for AI due to its simplicity and the availability of powerful libraries like TensorFlow, PyTorch, and scikit-learn.

What is the difference between Remote Python Ai vs Data Scientist?

AspectRemote Python AiData Scientist
Required CredentialsPython programming, AI/ML knowledge, possibly certifications in AI or data analysisStatistics, programming, data analysis, often a master's degree or higher
Work EnvironmentRemote, tech companies, AI-focused teamsRemote or on-site, diverse industries including tech, finance, healthcare
Employer & Industry UsageTech startups, AI firms, software companiesVarious sectors like finance, healthcare, marketing, tech
Search & Comparison IntentFocus on AI development using PythonData analysis, insights, statistical modeling

Remote Python Ai roles primarily focus on developing AI models and applications using Python, often within tech or AI companies. Data Scientists analyze data to extract insights, requiring broader statistical skills. While both roles may involve Python, Remote Python Ai emphasizes AI/ML development, whereas Data Scientists focus on data analysis and interpretation.

How is collaboration typically structured in a remote Python AI role, and what tools are commonly used to facilitate teamwork?

In a remote Python AI role, collaboration is often structured through regular virtual meetings, code reviews, and the use of collaborative platforms. Teams typically use version control systems like GitHub or GitLab for code sharing, and platforms such as Slack or Microsoft Teams for daily communication. Project management tools like Jira or Trello help organize tasks and track progress, while video calls via Zoom or Google Meet are used for team discussions and brainstorming sessions. This structure ensures that even in a distributed setting, team members can efficiently work together, share insights, and resolve challenges.
What are the most commonly searched types of Python Ai jobs in Houston, TX? The most popular types of Python Ai jobs in Houston, TX are:
What job categories do people searching Remote Python Ai jobs in Houston, TX look for? The top searched job categories for Remote Python Ai jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Python Ai jobs? Cities near Houston, TX with the most Remote Python Ai job openings:

Senior Python Developer (AI Evaluation & Benchmarking)

Lifted, an Upwork Company™

Texas City, TX • Remote

$80 - $100/hr

Contractor

Posted 8 days ago


Job description

Company Description

An enterprise client is seeking experienced Senior Python Developers to help build the next generation of Artificial Intelligence systems. This opportunity support the client who is a leading AI platform that enables organizations to build intelligent applications through high-quality human feedback, AI evaluation, and model alignment.

The selected consultants will contribute to AI research by designing programming benchmarks, evaluating AI-generated code, and helping improve the performance, reasoning, and reliability of frontier AI models. This is an excellent opportunity for experienced software engineers who enjoy solving complex technical problems while contributing to the future of Generative AI.

Job Description

This opportunity is ideal for senior software engineers with strong Python expertise who enjoy writing high-quality code, reviewing technical solutions, and working on AI-related projects.

What You'll Do:

  • Design and develop coding benchmarks used to evaluate frontier AI models.
  • Analyze AI-generated code for correctness, reliability, efficiency, and edge cases.Build and maintain scalable data pipelines that support AI evaluation workflows.
  • Create structured programming scenarios to test reasoning, debugging, and code quality.
  • Work with large codebases and multi-language software environments.
  • Collaborate with teams focused on improving how AI models understand, generate, and evaluate software.
  • Write clean, maintainable, and well-tested Python code following software engineering best practices.
Qualifications

Requirements:

  • 4+ years of professional software engineering experience (required).
  • Expert-level proficiency in Python.
  • Experience working at a high-growth technology company or top-tier software organization.
  • Proficiency in at least one additional programming language such as JavaScript, Go, C++, or similar.
  • Experience with CI/CD pipelines and automated testing frameworks such as pytest, Mocha, or JUnit.
  • Strong understanding of software engineering best practices, debugging, and code quality.
  • Excellent analytical and problem-solving skills.

Nice to Haves:

  • Experience with AI/ML evaluation, model benchmarking, or Generative AI.
  • Background in security engineering.
  • Significant contributions to open-source software projects.
  • Experience working with large-scale distributed systems or enterprise software platforms.
Additional Information
  • Fully remote contract opportunity.
  • Compensation ranges from $80-$100 USD per hour.
  • Expected workload is 10-39 hours per week, depending on project needs.
  • Weekly payments for approved work completed during the previous week.
  • Work volume may fluctuate throughout the duration of the engagement.

Hiring Process:

  • Submit your proposal.
  • Complete a short qualification form provided by the client.
  • Qualified candidates will receive an Upwork contract offer and onboarding instructions.
  • After accepting the contract, candidates will gain access to the client's evaluation.
  • Candidates who successfully pass the evaluation will be invited to a technical interview with the client.