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Contractual Natural Language Processing Jobs in New York

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

You'll work on highly specialized problems at the intersection of natural language processing , communications intelligence , financial supervision , and regulatory compliance , where unstructured ...

Socotec

Applied AI Engineer

Manhattan, NY · On-site

Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. * Collaborating with Cross-Functional ...

SOCOTEC

Applied AI Engineer

Manhattan, NY · On-site

Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. * Collaborating with Cross-Functional ...

Socotec

Applied AI Engineer

Manhattan, NY · On-site

Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. * Collaborating with Cross-Functional ...

Forhyre

Prompt Engineers

New York, NY · On-site

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

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Contractual Natural Language Processing information

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 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 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-based and project-specific work.
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Contractual Natural Language Processing jobs near you

AI/ ML Engineer/Developer with Equites/ Banking - NYC/ Alpharetta, GA - Contract opportunity

Zodiac Solutions

New York, NY • On-site

Contractor

Re-posted yesterday

Job description

Role: AI/ ML Engineer/Developer with Equites/ Banking

Location: NYC/ Alpharetta, GA

Type: Contract opportunity

Required Experience: 10+ Years

Need Local candidates

Job Description:

  • Deep knowledge in Natural language processing and LLMs with hands on experience in implementing LLMs.
  • Hands on experience in implementing and managing MCP.
  • AWS cloud and Linux server experiences.
  • Knowledge and experience in classic machine learning models applied on structured big data are pluses.
  • Equities experiences preferred.
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com