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Contractual Natural Language Processing Jobs in California

Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity As a Software Developer for the Artificial Intelligence team, work on Machine Learning, Natural Language Processing ...

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.

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.

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.

Role Objective Capture2 is looking for an experienced Natural Language Processing (NLP) Data Lead to join our engineering team, and to act as a leader for the information processing and extraction ...

... natural language processing (NLP) fundamentals and techniques • Experience with training and fine-tuning LLMs on large-scale datasets • Proficient in one or more programming languages such as ...

Strong foundational understanding of sequence modeling especially with distributed representations, embeddings etc. or deep neural networks and their applications to natural language processing.

You want to apply your expertise in statistics and computer science using Quantifind's state-of-the-art infrastructure to solve problems in Natural Language Processing, such as Entity Resolution ...

Showing results 41-60

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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Data Scientist with Security Clearance

22nd Century Technologies, Inc.

San Diego, CA • On-site

Other

Posted 10 days ago


Job description

Data Scientist II Required:
• Master’s degree in data science, Analytics, Computer Science
• Minimum 5 years of experience developing, analyzing, or deploying data-driven solutions • Experience with data analysis, visualization, or decision support tools
• Experience with Python or similar programming languages • Experience using version control systems (e.g., Git) • Minimum 5+ years’ experience with machine learning or AI enabled systems. Desired:
• Experience with natural language processing or large language models • Experience deploying applications in operational environments (afloat/ashore) • Experience with containerized environments (e.g., Docker, Kubernetes, OpenShift) • Experience supporting cybersecurity considerations in software development • Experience working with DOW or NAVAIR program office Security Clearance: Top Secret/SCI Clearance