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Freelance Natural Language Processing Jobs (NOW HIRING)

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX · On-site

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Roberts Recruiting

Senior Data Scientist

Boston, MA · On-site

Develop natural language processing systems that help our customers understand their contracts * Work with a wide range of structured and unstructured data sources * Design and build customized ...

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX · On-site

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless integration of prompt engineering strategies into existing AI systems. * Develop and maintain RESTful APIs ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse ...

Alpha Consulting Corp.

Gen AI engineer

Austin, TX · On-site

... natural language processing for text generation tasks. • Experience in deploying AI models into production environments. Qualifications : Required : • The candidate should have minimum of 3-8 ...

Scalence L.L.C.

Gen AI engineer

Austin, TX · On-site

... natural language processing for text generation tasks. • Experience in deploying AI models into production environments. Qualifications : Required : • The candidate should have minimum of 3-8 ...

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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 24, 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
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Freelance Natural Language Processing jobs near you

Sr . AI Architect (AI/ML/NLP/Solutioning)

Futran Tech Solutions Pvt. Ltd.

Jersey City, NJ • On-site

Full-time

Posted 4 days ago

Job description

Role : Sr . AI Architect (AI/ML/NLP/Solutioning)
Location : NewJersey, NJ (Day 1 onsite)
Mandatory Skills
Machine learning algorithms, natural language processing.
AI platforms such as AWS, Azure, or Google Cloud.
Custom Entity Recognition, custom embeddings, transformer models like BERT, GPT, T5 etc.
ML frameworks like TensorFlow, PyTorch, Mx NET, Caffe and Keras.
Develop & deploy production grade NLP & ML models is a must
Job Description :
  • This job requires candidates to interface with customer and negotiate demands. As an AI Architect in a customer-facing role, candidate will be responsible for designing and implementing artificial intelligence solutions for customers, ensuring that they meet their business objectives and deliver tangible value.
  • Candidate should have a product mindset and need to work closely with customers to understand their requirements and Design/Architect and Develop solution that leverage AI technologies, such as machine learning, natural language processing, and computer vision.
  • Work closely with cross-functional teams, including product managers, data scientists, and engineers both offshore and onshore, to ensure that solutions are delivered on time and to the highest quality standards. The candidate should lay product roadmaps and represent team in onshore connects.
  • Candidate is expected to explore & implement latest technologies & algorithms wherever applicable. Responsibility also involves architecting AI Platform capabilities.

Responsibilities:
  • Collaborate with customers to understand their business needs and ideate/Design/Architect and develop AI solutions that meet their requirements.
  • Create and deliver presentations and demonstrations to customers, showcasing the benefits and value of AI solutions.
  • Provide technical leadership and guidance to cross-functional teams, including data scientists and engineers, to ensure that AI solutions are delivered on time and to the highest quality standards.
  • Work with product managers and engineers to integrate AI solutions into customer-facing products and services.
  • Stay up-to-date with the latest AI technologies and techniques, and share knowledge with internal and external stakeholders.
  • Actively engage with customers to identify new business opportunities and provide guidance on AI strategy and implementation.
  • Design and implement AI solutions, including machine learning models, natural language processing systems, and computer vision applications.
  • Develop data pipelines, feature engineering processes, and data validation processes to ensure high-quality inputs for AI models.

Skills : (Minimum 12+ years in IT )
  • Strong understanding of machine learning algorithms, natural language processing, and computer vision.
  • Proficient in programming languages such as Python
  • Experience with cloud-based AI platforms such as AWS, Azure, or Google Cloud.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Ability to work independently and as part of a cross-functional team.
  • Strong problem-solving and analytical skills.
  • Proven track record of delivering high-quality AI solutions to customers.
  • Strong customer focus and a passion for delivering value through AI solutions.
  • Strong experience of custom Entity Recognition, custom embeddings, transformer models like BERT, GPT, T5 etc.
  • Experience on Question Answering systems, text summarization, knowledge graphs is must
  • Hands on experience working on noisy text like OCR, Speech to Text, Scene text
  • Experience working on language detection, mix languages would be added advantage.
  • Should have created/worked on data labelling tools, frameworks, and strategies.
  • Hands-on experience using ML frameworks like Tensorflow, PyTorch, MxNET, Caffe and Keras.
  • Use of Spacy, NLTK, Gloves, RegEx etc is expected as well.
  • Experience to develop & deploy production grade NLP & ML models is a must.
  • Experience in Agile based development methodology.

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