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Remote Python Llm Jobs in Dallas, TX (NOW HIRING)

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... LLM Evaluation Metrics and Frameworks * Python, PySpark, C++, SQL, and Power BI * Git Version ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... LLM Evaluation Metrics and Frameworks * Python, PySpark, C++, SQL, and Power BI * Git Version ...

Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows ... Experience with at least one modern backend language (Java,go, Python, Rust, or Node.js). * You ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

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Remote Python Llm information

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$13

$57

$85

How much do remote python llm jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote python llm in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What remote jobs can you get with Python?

Remote Python jobs include roles such as software developer, data analyst, machine learning engineer, and automation engineer. These positions often require proficiency in Python programming, familiarity with frameworks like Django or Flask, and experience with cloud platforms or version control tools. Many of these jobs offer flexible schedules and can be performed from any location with internet access.

Will AI replace Python devs?

Remote Python developers are unlikely to be fully replaced by AI, as their role involves complex problem-solving, coding, and adapting to new requirements that AI tools currently cannot fully replicate. AI can assist by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for software development. Staying updated with new tools and skills can help Python developers remain valuable in an evolving tech environment.

What is a Remote Python LLM job?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by Remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

Is Python used in LLM?

Yes, Python is widely used in developing large language models (LLMs) and is a key skill for remote Python LLM roles. It provides extensive libraries and frameworks such as TensorFlow and PyTorch that facilitate model training, fine-tuning, and deployment.

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

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.

Which LLM is good for Python coding?

For a Remote Python Llm role, models like OpenAI's GPT-4 and GPT-3.4 are widely used for Python coding due to their strong language understanding and code generation capabilities. Additionally, open-source models such as Meta's Llama 2 and EleutherAI's GPT-NeoX can be fine-tuned for specific coding tasks, making them suitable options for development environments requiring customization. Proficiency in integrating these models with APIs and understanding their limitations is essential for effective Python coding assistance.
What cities near Dallas, TX are hiring for Remote Python Llm jobs? Cities near Dallas, TX with the most Remote Python Llm job openings:
Data Scientist Senior

Data Scientist Senior

USAA

Plano, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 259 frontline employees who took The Breakroom Quiz

36th of 146 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

Employer: United Services Automobile Association

Tasks: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. May telecommute.

Requirements: Will accept a Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Sciences, Science and Engineering or related field and 4 years of experience in the job offered or in a related occupation. Alternatively, will accept a Master's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Sciences, Science and Engineering or related field and 12 months of experience in the job offered or in a related occupation.

  • Calculus: Derivatives, Gradients, and Optimization Algorithms
  • Linear Algebra: Linear Transformations and Matrix Decompositions
  • Probability & Statistics: Descriptive Statistics, Probability Distributions, Hypothesis Testing, Stochastic Processes, and Monte Carlo Simulation
  • Supervised Learning: Regression and Classification
  • Unsupervised Learning: Clustering, Dimensionality Reduction, and Anomaly Detection
  • Time Series Analysis
  • Causal Inference
  • Deep Learning Framework: TensorFlow, PyTorch, or Keras
  • Deep Learning Architectures: CNNs, RNNs, Encoder-decoders, and Transformers
  • NLP Experience: Embedding, Sentiment Analysis, Text Classification, and Topic Modeling
  • LLM Experience: Use LLM for Summarization, Information Extraction, Text Generation, and Question Answering
  • LLM Techniques: Embedding, Prompt Engineering, Retrieval Augmented Generation, and Fine-tuning 13.LLM Evaluation Metrics and Frameworks
  • Python, PySpark, C++, SQL, and Power BI
  • Git Version Control System
  • Airflow CI/CD Tool
  • Docker Containerization Tool
  • Google Cloud Platforms, experience with Big Query, Vertex AI, and Cloud Storage
  • Finance & Insurance Knowledge
  • Data Science Development Platforms; and
  • Multi-Cloud Data Platforms

Worksite: 5601 Legacy Drive, Plano TX 75024

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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