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Freelance Natural Language Processing Jobs (NOW HIRING)

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

ClifyX

Data Scientist

Manhattan, NY

Natural Language Processing * Optimization * Probabilistic Inference * Information Retrieval * Recommendation Systems * Bayesian Inference * Advanced time series forecasting • Hands-on Experience ...

Photon

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112.30K - $140.90K/yr

Implement natural language processing (NLP) and natural language understanding (NLU) capabilities to enable intelligent and context-aware conversations. * Ensure code quality and adherence to best ...

Straive

LLM Engineer

San Francisco, CA · On-site +1

If you are passionate about natural language processing, machine learning, and artificial intelligence, and looking to contribute to transformative projects, Straive is the perfect place to grow your ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · Hybrid

$68 - $78/hr

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 :: 2+ years experience with ...

Roberts Recruiting

Software Engineer, NLP

Cambridge, MA

$125.10K - $150.30K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a wide variety of mission-critical applications around the world and an innovative SAAS API? Do you ...

Orbis Operations

Data Scientist

Mclean, VA

The successful candidate will work directly with government clients to leverage LLMs in mission-critical applications, driving impactful results through advanced natural language processing ...

VBeyond

Data Scientist

Manhattan, NY

We are on the lookout for a specialist in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP), Generative AI and other advanced AI ...

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Freelance Natural Language Processing information

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How much do freelance natural language processing jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for freelance natural language processing in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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 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 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.

More about Freelance Natural Language Processing jobs
What cities are hiring for Freelance Natural Language Processing jobs? Cities with the most Freelance Natural Language Processing job openings:
What are the most commonly searched types of Natural Language Processing jobs? The most popular types of Natural Language Processing jobs are:
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Freelance Natural Language Processing jobs near you
Infographic showing various Freelance Natural Language Processing job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, 16% Part Time, 1% Temporary, and 10% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
AI Developer ( w / NLP + ML + AWS) : New York, NY : Contract on w2

AI Developer ( w / NLP + ML + AWS) : New York, NY : Contract on w2

Marvel Technologies Inc

New York, NY • On-site

Contractor

Posted 28 days ago

Job description

The Role:

Our Client is seeking a AI Developer – Natural Language Processing,  Machine Learning & AWS to join our team in New York, NY  (Need Onsite day 1, hybrid 3 days from office).

Job Description:

We are seeking a highly skilled and motivated AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our dynamic team. The ideal candidate will have strong hands-on experience in implementing LLMs, managing machine learning pipelines, and deploying AI solutions on cloud and server environments. Experience in the financial sector, particularly in equities, will be considered an advantage. 

Responsibilities:

  • Develop, implement, and optimize NLP solutions utilizing LLMs tailored for financial data and equities.
  • Manage and deploy Machine Computing Platforms (MCP) to support scalable AI workloads.
  • Collaborate with data scientists and engineers to integrate AI models into production environments.
  • Maintain and enhance AI infrastructure on AWS cloud services and Linux-based servers.
  • Apply traditional machine learning techniques on structured large datasets to complement NLP efforts.
  • Troubleshoot and resolve software/hardware issues related to AI systems and server environments.
  • Stay updated with the latest advancements in NLP, LLMs, and machine learning best practices. 

Requirements:

  • Deep knowledge of Natural Language Processing, including expertise with Large Language Models (e.g., GPT, BERT, similar architectures).
  • Hands-on experience in implementing, fine-tuning, and deploying LLMs in production.
  • Proven experience managing and operating MCP or similar machine learning platforms.
  • Strong proficiency with AWS cloud services (EC2, S3, Lambda, etc.) and experience working with Linux server environments.
  • Knowledge of traditional machine learning models applied on structured big data is a plus.
  • Prior experience in equities or financial data analysis is highly preferred.
  • Programming proficiency in Python, and familiarity with relevant AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. 

Preferred, but not required:

  • Hands-on experience deploying AI models in financial or equities contexts.
  • Familiarity with data pipeline development and big data processing tools.