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Contractual Natural Language Processing Jobs in Florida

AI Engineer

Miami, FL · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

... natural language processing and text analytics for innovative AI applications - Building and maintaining data infrastructure to support AI-driven automation - Mentoring junior team members and ...

Optimize AI models and Natural Language Processing (NLP) capabilities for enhanced customer interactions. Troubleshoot and resolve technical issues related to AI solutions and integrations. Stay up ...

Showing results 21-40

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.

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

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

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

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

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

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

Senior Data Analyst - AI & Dermatology Claims Analytics

Advanced Dermatology and Cosmetic Surgery

Maitland, FL • On-site

$80K - $101K/yr

Full-time

Posted 10 days ago


Advanced Dermatology and Cosmetic Surgery rating

5.9

Company rating: 5.9 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

759th of 887 rated healthcare providers


Job description

SENIOR DATA ANALYST - AI & DERMATOLOGY CLAIMS ANALYTICS
Comprehensive Position Description
Reporting Structure
  • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A.
  • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership.

Position Summary
  • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets.
  • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance.

Primary Responsibilities
  • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions.
  • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities.
  • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies.
  • Build executive dashboards and KPI reporting.
  • Support budgeting, forecasting and strategic planning initiatives.
  • Partner with managed care on payer contract performance analytics.

Technical Requirements
  • Advanced SQL
  • Python
  • Power BI
  • Microsoft Fabric
  • Azure Data Services
  • Databricks or Snowflake
  • Healthcare data warehousing
  • Machine learning and predictive analytics

Healthcare Domain Expertise
  • Dermatology claims analytics
  • Revenue cycle management
  • Medical coding
  • Payer reimbursement methodologies
  • Provider productivity analytics
  • Value-based care and population health

AI Competencies
  • Prompt engineering
  • Generative AI assisted reporting
  • Predictive analytics
  • Anomaly detection
  • Natural language processing
  • Model validation and governance

Key Performance Indicators
  • Reimbursement improvement opportunities identified
  • Dashboard adoption
  • Forecast accuracy
  • Reduction in manual reporting effort
  • Denial trend visibility
  • Executive stakeholder satisfaction

Qualifications
  • Bachelor degree in quantitative discipline required.
  • Masters degree preferred.
  • 5+ years healthcare analytics experience preferred.
  • Experience with large healthcare claims datasets required.

What Advanced Dermatology and Cosmetic Surgery employees say

Pay

Benefits

Hours and flexibility

Workplace

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