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Part Time Natural Language Processing Jobs (NOW HIRING)

Overview Black Canyon Consulting (BCC) is actively looking for a part-time Subject Matter Expert ... Knowledge and experience in biomedical informatics, image processing, and natural language ...

AI Data Science Intern

Orlando, FL · On-site

$48.10K - $86.95K/yr

Natural Language Processing or Large Language Models * Data engineering or data wrangling * Familiarity with data labeling , data cleaning , or preparing training sets for AI * Interest in AI safety ...

Staff Data Scientist

San Francisco, CA · On-site +1

$250.08K - $275.09K/yr

... Part time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA ... Natural Language Processing (NLP); (3.) Time Series Forecasting; (4.) ETL Pipelines; (5.) AWS ...

Hourly Research Assistants

Campus, IL · On-site

$13.82 - $26.94/hr

No Standard Hours per Week 20 Full Time or Part Time? Part Time Shift Day Work Schedule Summary ... natural language processing (NLP)-based chart abstraction. The work will be performed using ...

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Part Time Natural Language Processing information

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How much do part time natural language processing jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for part time natural language processing in the United States is $25.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $29.57 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Natural Language Processing jobs? The most popular types of Natural Language Processing jobs are:

AI Software Engineer (Mid-Level) (San Francisco)

Full Scope

San Francisco, CA

Part-time

Posted 3 days ago


Job description

Job Title: AI Software Engineer (Mid-Level)

Location: San Francisco, CA

Required Clearance: Secret

Salary: Competitive

Job Overview

We are seeking a talented and motivated Mid-Level AI Software Engineer to join our AI team. The ideal candidate will have a solid foundation in software engineering and a passion for applying AI techniques to solve complex problems. You will be responsible for designing, developing, and implementing AI-driven applications and systems that align with our strategic goals.

Key Responsibilities
  • Minimum 7 years' experience.
  • Design, develop, and implement AI models and algorithms to address various business challenges.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
  • Develop and maintain AI pipelines and infrastructure to support model training, evaluation, and deployment.
  • Integrate AI models into production systems and monitor their performance.
  • Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs.
  • Stay updated with the latest advancements in AI and machine learning and apply relevant techniques to projects.
  • Participate in code reviews, team meetings, and contribute to a collaborative development environment.
  • Document processes, models, and findings comprehensively.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proven experience as a Software Engineer with a focus on AI or machine learning.
  • Strong proficiency in programming languages such as Python, Java, or C++.
  • Experience with AI frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Solid understanding of machine learning algorithms, data structures, and software design principles.
  • Experience with data processing tools like Pandas and NumPy, and data visualization tools such as Matplotlib or Seaborn.
  • Strong problem-solving skills and the ability to think critically and analytically.
  • Excellent communication and teamwork skills.
Preferred Qualifications
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for AI model deployment.
  • Knowledge of DevOps practices and tools like Docker, Kubernetes, and CI/CD pipelines.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Previous experience in a fast-paced, innovative environment.
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