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Contractual Natural Language Processing Jobs in New York

J.P. Morgan

Applied AI/ML Lead - Payments

New York, NY · On-site

Develop and improve natural language processing algorithms and model approaches to extract entities, relationships, and signals from unstructured text and documents. * Define evaluation strategies ...

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : • 10 to 15 ...

1872 Consulting

Senior Data Scientist

Manhattan, NY · On-site

The role involves constructing knowledge graphs, developing advanced search functionalities, and applying natural language processing and machine learning to enhance data science functions.

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Contractual Natural Language Processing information

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 specialist?

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.

What are some typical challenges faced by professionals working in contractual natural language processing 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 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.

Is contractual natural language processing in demand?

Contractual natural language processing roles are in demand due to the growing use of AI and machine learning in industries such as technology, healthcare, and finance. Skills in NLP tools like Python, TensorFlow, and data annotation are highly valued, and the field offers opportunities for contract and project-based work with increasing job availability.

What are the most commonly searched types of Natural Language Processing jobs in New York?

The most popular types of Natural Language Processing jobs in New York are:

What are popular job titles related to Contractual Natural Language Processing jobs in New York?

For Contractual Natural Language Processing jobs in New York, the most frequently searched job titles are:

What job categories do people searching Contractual Natural Language Processing jobs in New York look for?

The top searched job categories for Contractual Natural Language Processing jobs in New York are:

What cities in New York are hiring for Contractual Natural Language Processing jobs?

Cities in New York with the most Contractual Natural Language Processing job openings:

Contractual Natural Language Processing jobs near you

AI Developer Natural Language Processing Machine Learning AWS

Accord Technologies Inc.

New York, NY • On-site

Contractor

Re-posted yesterday

Job description

AI Developer – Natural Language Processing,  Machine Learning & AWS 
Loction: New York, NY  (Need Onsite day 1, hybrid 3 days from office).
Duraiton: Long term
Position type: W2 contract

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