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Freelance Natural Language Processing Jobs in California

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 ...

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.

Forhyre

Prompt Engineers

San Francisco, 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.

FOCUSKPI INC

Be Seen First

LLM Research Engineer

Mountain View, CA · On-site

$115 - $131/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance. * Explore advancements in transformer architectures, multi-modal ...

Forhyre

Prompt Engineers

Los Angeles, 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.

FOCUSKPI INC

Be Seen First

LLM Research Engineer

Mountain View, CA · On-site

$115 - $131/hr

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance. * Explore advancements in transformer architectures, multi-modal ...

Capture2, Inc.

NLP Data Lead

San Diego, CA

Role Objective Capture2 is looking for an experienced Natural Language Processing (NLP) Data Lead to join our engineering team, and to act as a leader for the information processing and extraction ...

Xforia, Inc.

Staff ML Engineer

San Jose, CA · On-site

... natural language processing (NLP) fundamentals and techniques • Experience with training and fine-tuning LLMs on large-scale datasets • Proficient in one or more programming languages such as ...

PROPRIUS

AI Research Engineer

San Francisco, CA

Strong foundational understanding of sequence modeling especially with distributed representations, embeddings etc. or deep neural networks and their applications to natural language processing.

Quantifind

Data Scientist

Palo Alto, CA · On-site

You want to apply your expertise in statistics and computer science using Quantifind's state-of-the-art infrastructure to solve problems in Natural Language Processing, such as Entity Resolution ...

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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 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

Data Scientist

US Department of Homeland Security

Oakland, CA • On-site

$74K/yr

Other

Posted 12 days ago

U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

93rd of 289 rated public sector bodies

Job description

The Office of Inspector General (OIG) is an independent office whose mission is to promote excellence, integrity, and accountability throughout the Department of Homeland Security (DHS). In our dynamic environment, the OIG conducts investigations, audits, evaluations, and inspections to enhance program effectiveness and efficiency and to detect and prevent waste, fraud, and mismanagement in DHS programs and operations.Qualifications:Minimum Qualifications GS-11: Must have at least one year of specialized experience equivalent to GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Assisting with the application of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Writing and modifying scripts with open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line)
  • Creating or updating logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Contributing to written reports, data summaries, or presentation materials that describe analytical approaches and results for non-technical staff.
Minimum Qualifications GS-12: Must have at least one year of specialized experience equivalent to GS-11 grade level in the Federal service. Specialized experience for this position includes:
  • Applying a range of statistical analyses to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line).
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing clear, well organized written products and delivering oral briefings that explain analytical methods, results, and implications to both technical and non-technical audiences or management.
Minimum Qualifications GS-13: Must have at least one year of specialized experience equivalent to GS-12 grade level in the Federal service. Specialized experience for this position includes:
  • Conducting statistical analysis to make informed projections, data driven decisions, and recommendations based on findings.
  • Utilizing open-source language such as R or Python to apply quantitative techniques (e.g., descriptive and inferential statistics, sampling, experimental design, parametric and non- parametric tests of difference, ordinary least squares regression, general line.
  • Developing and implementing logical data models to deliver integrated data to end users for use in a variety of analytical software tools, including but not limited to graphical link analysis software, statistical analysis, geospatial software, visualization software, and natural language processing software.
  • Preparing and delivering clear, concise, and comprehensive written reports and oral presentations that communicate complex technical data analyses, findings, and recommendations to both technical and non-technical audiences, including senior management.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
The qualification requirements listed above must be met by the closing date 09/02/2026of this announcement.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.Education:Basic Requirements:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.Employment Type: OTHER

What U.S. Department Of Homeland Security employees say

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Benefits

Hours and flexibility

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U.S. Department of Homeland Security logo

About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003

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