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

Senior Data Engineer ID75059

Texas City, TX · On-site +1

$90K - $123K/yr

You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ... Work with AI development tools to support and accelerate ongoing development, machine learning ...

The Role We are looking for a Senior Full-Stack Engineer who embraces AI agents to supercharge ... Python (API First), Postgres Frontend & Middle-Tier: TypeScript (React) Minimum Qualifications

The Role We are looking for a Senior Full-Stack Engineer who embraces AI agents to supercharge ... Python (API First), Postgres Frontend & Middle-Tier: TypeScript (React) Minimum Qualifications

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Python proficiency (Pandas, scikit-learn, Plotly, Streamlit, Flask, etc) * Javascript and front-end ...

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Remote Python Ai information

See Houston, TX salary details

$12

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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:
AI Engineer | Camden Corporate Office (Remote Position)

AI Engineer | Camden Corporate Office (Remote Position)

Camden Property Trust

Houston, TX • On-site, Remote

Full-time

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


Camden Property Trust rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

16th of 156 rated real estate companies


Job description


Job Summary
The AI Engineer is the builder-in-residence for Camden's AI Sandbox, the dedicated environment where we rapidly prototype, evaluate, and de-risk emerging AI capabilities before they enter production. This role exists to move fast: turning business ideas into working proofs-of-concept, -testing new models and tools, and producing the evidence that helps Camden decide what to scale, what to shelve, and what to integrate into core systems.
This is a high-autonomy, high-curiosity role for someone who thrives in ambiguity and enjoys learning new technologies week after week and sharing what they find with others.
Essential Functions
Rapid Prototyping & Experimentation
  • Design, develop, and deploy functional prototypes of AI-driven solutions within accelerated timelines, spanning use cases such as document understanding, generative conversational interfaces, agent-based workflows, summarization, enterprise search, and predictive analytics.
  • Evaluate new foundation models, frameworks (LangChain, Semantic Kernel, AutoGen, etc.), and AI platforms (Azure AI Foundry, OpenAI, Anthropic, Copilot Studio) for fit against Camden's use cases.
  • Maintain a safe, isolated sandbox environment with appropriate guardrails for data, cost, and access.
  • This role is expected to evolve over time as organizational needs and priorities change; therefore, the responsibilities outlined above are not all-inclusive.

Evaluation & Measurement
  • Define success criteria, benchmarks, and evaluation harnesses for each experiment.
  • Produce clear, evidence-based recommendations: what works, what doesn't, what it would cost to scale, and what risks need to be mitigated.
  • Document key insights and lessons learned to enable broader team and business stakeholders to effectively leverage and scale these capabilities.

Collaboration & Handoff
  • Partner with the Application Development team to harden and transition promising prototypes into production-grade systems.
  • Work directly with business stakeholders to understand problems, demo possibilities, and shape demand.
  • Contribute to the development and advancement of Camden's responsible AI practices, with a focus on data privacy, security, bias mitigation, hallucination management, and human-in-the-loop design principles.

Knowledge Sharing
  • Run internal demos, lunch-and-learns, and writeups that raise AI literacy across IT and business.
  • Stay current on the AI landscape; bring back insights from research, vendor briefings, and the developer community.

Requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field; equivalent experience considered.
  • 3+ years of software engineering or applied ML experience, with at least 1 year hands-on with generative AI / LLM-based systems.
  • Strong Python skills; comfort with REST APIs, vector databases, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience with at least one major AI platform (Azure OpenAI / Azure AI Foundry, OpenAI, Anthropic, AWS Bedrock).
  • Demonstrated ability to ship prototypes quickly and communicate results to non-technical audiences.
  • Excellent written and verbal communication skills; ability to translate between technical and business audiences.
  • Preferred experience with agent frameworks, multi-agent orchestration, and tool-use patterns.
  • Preferred experience with Microsoft Copilot Studio, Power Platform AI Builder, or similar low-code AI tooling.
  • Preferred familiarity with MLOps / LLMOps practices (evaluation, observability, cost tracking).
  • Preferred background in real estate, property management, or other operations-heavy industries.
  • Preferred comfort working without a detailed spec - turning a vague business question into a testable experiment.

And here's the fine print HR wants you to know:
  • Job is intermittently sedentary but requires mobility (i.e., climb stairs)
  • Will use some repetitive motion of hand-wrist in using computer and writing
  • Works in a typical office setting
  • Emotional stability and personal maturity are important attributes in this position
  • Must handle stressful, urgent, novel and diverse work situations on a daily basis
  • May require long hours and odd schedules (including weekends)
  • Position requires periodic travel by automobile to handle work-related activities
  • May require airline travel, out-of-town and /or overnight trips
  • Attendance and punctuality is essential for success in this position
  • Hazards can be minimized with proper lifting techniques, SDS, general safety training, and wearing appropriate PPE
  • Contact your HR team for the position's Physical Demands Analysis

This job description is not an all-inclusive list of duties and responsibilities. Camden may add or change responsibilities in order to meet business and organizational needs. Employees must meet qualification standards that are job-related and consistent with business necessity and must be able to perform the essential functions of the position, with or without reasonable accommodations.
To learn more about our awesome Benefits, visit Camden Benefits.

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