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Freelance Natural Language Processing Jobs (NOW HIRING)

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site

$112K - $140K/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 ...

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 ...

Lead Developer | Kore.AI | Dallas

Addison, TX · On-site +1

$112K - $140K/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 ...

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 ...

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 :: ● ...

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 :: ● ...

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 :: ● ...

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Freelance Natural Language Processing information

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$14

$47

$132

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

As of Jul 14, 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 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.

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:
What states have the most Freelance Natural Language Processing jobs? States with the most job openings for Freelance Natural Language Processing jobs include:
What job categories do people searching Freelance Natural Language Processing jobs look for? The top searched job categories for Freelance Natural Language Processing jobs are:
Infographic showing various Freelance Natural Language Processing job openings in the United States as of July 2026, with employment types broken down into 50% Internship, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
AI Research Lead (Natural Language Processing) - Vice President

AI Research Lead (Natural Language Processing) - Vice President

JPMorgan Chase & Co.

Manhattan, NY • On-site

$164K - $260K/yr

Full-time

Medical, Retirement

Re-posted 19 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description


The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As an AI Research Lead in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in various technical and business disciplines, contributing to high-impact business applications at the cutting edge of AI.
Job responsibilities
  • Work on multiple commercially-orientated research projects in collaboration with internal data scientists, applied engineering teams and business stakeholders
  • Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build innovative solutions, and communicate research significance
  • Contribute to high-impact business applications, open-source software, and patents
  • Develop state-of-the art machine learning models to solve real-world problems at scale

Required qualifications, capabilities, and skills
  • PhD in Computer Science, Engineering, or related fields with at least three years of industry experience
  • Programming skills in Python
  • Proficient understanding of fundamental AI and ML techniques
  • Practical experience with statistical data analysis and experimental design
  • Curiosity, creativity, resourcefulness, and a collaborative spirit
  • Effective verbal and written communication skills with technical and business audiences
  • Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds
  • Interest in problems related to the financial services domain

Preferred qualifications, capabilities, and skills
  • Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals)
  • Practical experience with ML platforms such as TensorFlow/Keras, PyTorch
  • Comfort with rapid prototyping and disciplined software development processes
  • Practical software engineering experience in collaborative project settings

#AIR_jobs
#CDAO_CAO_jobs
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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