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Freelance Natural Language Processing Jobs in Wyoming

Suburban Propane

Part-time Seasonal Truck Driver

Jackson, WY · On-site

$15.50 - $18.75/hr

Must be able to satisfy the English Language Proficiency qualification requirements in 49 CFR §391 ... As part of our pre-employment hiring process, background checks and drug screens are performed. For ...

Four Seasons Hotels

Front Desk Supervisor

Teton Village, WY · On-site

$17.50 - $22.50/hr

Surrounded by the iconic peaks of Grand Teton and the natural beauty of nearby Yellowstone National ... process as well as helping them check-out and wishing them a fond farewell. * Welcomes and ...

Clean Energy Fuels

ASME Welder 1

Evanston, WY

$27 - $30/hr

... is with natural gas fuel. Our mission is to create a healthier planet by eliminating carbon ... Language Skills Communication Skills - Comprehend documents such as safety rules, operating ...

Clean Energy

ASME Welder 1

Evanston, WY · On-site

$27 - $30/hr

... is with natural gas fuel. Our mission is to create a healthier planet by eliminating carbon ... Language Skills Communication Skills - Comprehend documents such as safety rules, operating ...

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Freelance Natural Language Processing information

What are common challenges freelance natural language processing professionals face when working with clients?

Freelance NLP professionals often encounter challenges such as clearly defining project goals, managing client expectations regarding data quality and model performance, and ensuring access to adequate datasets. Since projects can range from text classification to chatbot development, freelancers must communicate technical constraints and timelines effectively with non-technical stakeholders. Balancing multiple projects and staying updated with evolving NLP technologies are also key aspects of the role, requiring strong time management and continuous learning.

What is a freelance natural language processing specialist?

A Freelance Natural Language Processing (NLP) specialist is an independent professional who works on projects involving the interaction between computers and human language. They use techniques from linguistics, computer science, and artificial intelligence to develop systems that can understand, interpret, and generate human language. Freelance NLP specialists typically work on tasks such as text analysis, machine translation, chatbots, sentiment analysis, and speech recognition for various clients or organizations. Their work often involves using programming languages like Python and tools such as TensorFlow or spaCy.

What skills and qualifications are needed to thrive as a freelance natural language processing specialist?

To thrive as a Freelance Natural Language Processing Specialist, you need a solid background in computational linguistics, machine learning, and programming (Python is essential), typically supported by a relevant degree or demonstrated project experience. Proficiency with NLP libraries and frameworks like NLTK, spaCy, TensorFlow, and familiarity with tools such as Jupyter Notebook or cloud platforms is highly valued. Strong problem-solving, communication, and self-management skills help freelancers stand out by enabling effective client collaboration and project delivery. These competencies are crucial for producing accurate, efficient NLP solutions and maintaining a successful freelance business.

What is the difference between Freelance Natural Language Processing vs Data Scientist?

AspectFreelance Natural Language ProcessingData Scientist
CredentialsTypically requires expertise in NLP, programming, and data analysis; certifications are optionalOften requires degrees in data science, statistics, or related fields; certifications can be beneficial
Work EnvironmentIndependent, project-based, remote or freelance settingsFull-time or contract roles within organizations, often in office or remote
Industry UsageUsed across tech, healthcare, finance, and research sectors for language-related projectsApplied broadly in tech, finance, healthcare, and consulting for data-driven decision making

Freelance Natural Language Processing specialists focus on language-specific projects independently, while Data Scientists work on broader data analysis tasks within organizations. Both roles require strong analytical skills, but their work environments and project scopes differ significantly.

What are the most commonly searched types of Natural Language Processing jobs in Wyoming?

The most popular types of Natural Language Processing jobs in Wyoming are:

What are popular job titles related to Freelance Natural Language Processing jobs in Wyoming?

For Freelance Natural Language Processing jobs in Wyoming, the most frequently searched job titles are:

What job categories do people searching Freelance Natural Language Processing jobs in Wyoming look for?

The top searched job categories for Freelance Natural Language Processing jobs in Wyoming are:

What cities in Wyoming are hiring for Freelance Natural Language Processing jobs?

Cities in Wyoming with the most Freelance Natural Language Processing job openings:

Freelance Natural Language Processing jobs near you
Infographic showing various Freelance Natural Language Processing job openings in Wyoming as of June 2026, with employment types broken down into 49% Internship, and 51% Contract. Highlights an 100% In-person job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Laramie, WY • On-site

Other

Re-posted 24 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply