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Contractual Natural Language Processing Jobs (NOW HIRING)

Apple

AIML - Machine Learning Research

Cupertino, CA · On-site

$252K/yr

Passionate about Natural Language Processing, Large Language Modeling (LLMs) and Machine Translation? Join us to bring the most advanced Multilingual solution across the Apple ecosystem. Multilingual ...

Photon

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 ...

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 ...

Photon

Developer | Kore.AI | Dallas

Addison, TX · On-site +1

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 ...

Photon

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 ...

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 · On-site

$125K - $150K/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 ...

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

As of Jun 12, 2026, the average hourly pay for contractual natural language processing in the United States is $20.84, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $19.95 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals working in contractual Natural Language Processing (NLP) roles?

Professionals in contractual NLP roles often encounter challenges such as quickly adapting to new project requirements, managing tight deadlines, and working with limited access to proprietary data or tools. Since contract positions may involve collaborating remotely with diverse teams, effective communication and self-motivation are crucial. Additionally, staying updated with the latest NLP techniques and ensuring high-quality deliverables despite project constraints are ongoing expectations. Successful contractors are proactive in clarifying client needs and flexible in adjusting to evolving priorities.

What is a Contractual Natural Language Processing specialist?

A Contractual Natural Language Processing (NLP) specialist is a professional who works on short-term or project-based contracts to develop, implement, and optimize systems that allow computers to understand and process human language. Their responsibilities often include building chatbots, developing text analytics tools, and improving machine translation systems. Unlike full-time employees, contractual NLP specialists typically work for a specific duration or on particular projects, offering flexibility to both employers and professionals. They usually possess expertise in linguistics, programming, and machine learning.

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

To thrive as a Contractual Natural Language Processing (NLP) Specialist, you need a strong background in computational linguistics, machine learning, and programming (typically Python), often supported by a relevant degree or equivalent experience. Familiarity with NLP frameworks like NLTK, spaCy, or Hugging Face Transformers, and experience with cloud computing platforms, are commonly required; certifications in data science or cloud technologies can also be beneficial. Exceptional problem-solving skills, adaptability, and effective communication help specialists collaborate with diverse teams and clearly convey complex findings. These competencies ensure that NLP solutions are robust, scalable, and aligned with client objectives in dynamic project-based environments.

Is NLP a dead field?

Natural Language Processing (NLP) is an active and evolving field with ongoing research and industry applications. NLP specialists are in demand for developing chatbots, sentiment analysis, and language understanding systems, requiring skills in machine learning, programming, and data analysis.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, since their roles involve developing, managing, and overseeing AI systems. These jobs require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and expertise in tools like Python and TensorFlow will support long-term employability in these fields.

Is ML a high paying job?

Machine Learning (ML) roles, including those in natural language processing, are generally well-paid due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and industry, but ML positions tend to offer competitive compensation compared to many other tech roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, natural language processing, and leadership. These roles usually involve overseeing complex projects, managing teams, and developing innovative AI solutions, and they tend to be found in large tech companies or specialized AI firms with competitive compensation packages.

What is the difference between Contractual Natural Language Processing vs Data Scientist?

AspectContractual Natural Language ProcessingData Scientist
CredentialsTypically requires degrees in linguistics, computer science, or related fields; certifications in NLP toolsRequires degrees in statistics, computer science, or related fields; certifications in data analysis or machine learning
Work EnvironmentOften project-based, working with NLP teams or vendors on language-specific tasksIn-house or consulting roles analyzing data, building models, and deriving insights
Industry UsageCommon in tech, legal, healthcare, and customer service sectors for language processing tasksUsed across industries for data analysis, predictive modeling, and decision support

Contractual Natural Language Processing specialists focus on language-specific tasks often on a contractual basis, while Data Scientists analyze data broadly to inform business decisions. Both roles require technical skills but differ in focus and work environment.

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Contractual Natural Language Processing jobs near you
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

Posted 17 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

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

#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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