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Freelance Natural Language Processing Jobs in California

Apple

Sr Software Engineer, Proactive

Santa Clara, CA · On-site

$143K - $189K/yr

As part of this group, you'll work with our machine learning, natural language processing, and infrastructure teams; optimize your work to run efficiently across Apple's range of products; and build ...

Kaizen Stackup

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Design and implement intelligent agent architectures using state-of-the-art machine learning and natural language processing techniques * Develop and optimize algorithms for agent decision-making ...

Teklead Corp.

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

Description: • Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects. • Learn new technologies and focus on what you're passionate about. Requirements :: • ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA

$17 - $22/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

Welocalize, Inc.

Data Labeling Associate

New York, NY

$17.50 - $22.75/hr

The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our ...

Forhyre

Prompt Engineers

Sunnyvale, CA

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Teklead Corp

Sr Python Developer

Agoura Hills, CA · On-site

$66 - $77/hr

Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity As a Software Developer for the Artificial Intelligence team, work on Machine Learning, Natural Language Processing ...

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Freelance Natural Language Processing information

What are some common challenges freelance Natural Language Processing (NLP) professionals face when working with clients on projects?

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 (NLP) 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 are the key skills and qualifications needed to thrive as a Freelance Natural Language Processing (NLP) Specialist, and why are they important?

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 California? The most popular types of Natural Language Processing jobs in California are:
What are popular job titles related to Freelance Natural Language Processing jobs in California? For Freelance Natural Language Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Natural Language Processing jobs in California look for? The top searched job categories for Freelance Natural Language Processing jobs in California are:
What cities in California are hiring for Freelance Natural Language Processing jobs? Cities in California with the most Freelance Natural Language Processing job openings:
Freelance Natural Language Processing jobs near you
Sr. Software Engineer - Generative AI & Assistants, ArcGIS Pro

Sr. Software Engineer - Generative AI & Assistants, ArcGIS Pro

Esri

Redlands, CA

$123K - $162K/yr

Other

Re-posted 12 days ago

Esri rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies

Job description

Overview

ArcGIS Pro is a powerful geographic information system (GIS) software that is used to analyze, visualize, and share spatial data, helping to solve real-world problems. We're on a mission to improve the accessibility of these tools through AI assistant functionality. As a team committed to innovation, you'll have a unique opportunity to bring your expertise in AI and machine learning to the world's leading GIS software.

Through curiosity and investigative research, you'll understand future capabilities and be able to fine-tune AI models to ensure quality functionality. You'll design, build, and test AI Copilot experiences to assist our users in ways that have never been achieved before, impacting industries in government, public safety, conservation, imagery and more.

In this role, you'll collaborate with our cross-functional global team of software engineers, product engineers, designers, product managers, and release engineers committed to delivering a host of cutting-edge capabilities. Bring your passion for AI and natural language processing and apply today!

Responsibilities

  • Contribute to the design and implementation of an AI Copilot for ArcGIS Pro
  • Design, develop, and implement AI models, prompts, algorithms and agents in C# or Python, particularly focusing on natural language generation and understanding using LLMs and embedding models
  • Write scalable, robust, testable, efficient, and easily maintainable code in C#, Python, or C++
  • Build software that follows the latest industry-standard design patterns, development methodologies, and deployment models
  • Collaborate with cross-functional teams to understand user needs and devise possible solutions
  • Translate software requirements into stable, working, high-performance software
  • Stay up to date with the latest advancements in AI and machine learning technologies like LLMs, multimodal models, text/embedding models, frameworks like LangChain and Semantic Kernel

Requirements

  • 5+ years of demonstrated experience in developing robust code and exceptional problem-solving skills using the C# programming language and the .NET platform
  • Experience with large language model tools like Semantic Kernel or LangChain
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or similar
  • Familiarity with AI and Machine Learning concepts
  • Strong knowledge of data structures and algorithms
  • Knowledge of REST APIs and HTTP-based web services
  • Strong knowledge of GIT
  • Excellent communication skills, with the ability to explain complex concepts to non-technical team members
  • Demonstrated ability to self-direct, with an eagerness to learn and grow
  • Bachelor's degree in computer science, GIS, Mathematics, or related field

Recommended Qualifications

  • Experience with natural language processing and generative models
  • Good knowledge of Python
  • Experience in C++
  • Experience with cloud services like AWS, Google Cloud, or Azure
  • Master's degree in computer science, GIS, Mathematics, or related field

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What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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