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Tror AI for everyone

Data Scientist

Baltimore, MD · On-site

... SpaCy, or Transformers. • Build and integrate solutions using Large Language Models (LLMs) and Generative AI frameworks. • Perform data cleaning, preprocessing, and feature engineering on ...

Kaizen Stackup

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Familiarity with natural language processing techniques and libraries (e.g., NLTK, spaCy) * Knowledge of reinforcement learning and decision-making algorithms * Strong problem-solving skills and ...

Compugain

Senior Python Developer

Mclean, VA · On-site

$124K - $167K/yr

In-depth understanding of Python software development stacks, ecosystems, frameworks, and tools (e.g., NumPy, SciPy, Pandas, Dask, spaCy, NLTK, scikit-learn). * 2 to 3 years of experience building ...

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How much do spacy jobs pay per year?

As of Jun 29, 2026, the average yearly pay for spacy in the United States is $141,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working with spaCy in natural language processing projects?

Professionals using spaCy often encounter challenges such as customizing pre-trained models to fit domain-specific language, handling large-scale text data efficiently, and integrating spaCy pipelines with other machine learning frameworks. Additionally, staying updated with frequent library updates and best practices can be demanding. Collaboration with data scientists and software engineers is typically necessary to ensure seamless deployment and scaling of NLP solutions in production environments.

What job makes $10,000 a month without a degree?

High-paying jobs that can earn $10,000 a month without a degree include roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers. Success in these fields often depends on experience, skills, certifications, and performance rather than formal education.

What are the key skills and qualifications needed to thrive as a Natural Language Processing (NLP) Engineer specializing in spaCy, and why are they important?

To thrive as an NLP Engineer specializing in spaCy, you need a solid background in computer science, linguistics, and machine learning, often supported by a relevant degree. Proficiency with Python programming, the spaCy library, and experience with tools like Jupyter Notebooks and version control systems are typically required. Strong analytical thinking, problem-solving skills, and effective communication help you design and implement robust language models and collaborate with multidisciplinary teams. These skills and qualities are crucial for developing, optimizing, and deploying high-quality NLP solutions that meet real-world business needs.

What is a Spacy job or role?

A Spacy job typically refers to a professional who works with spaCy, an open-source natural language processing (NLP) library in Python. These roles often involve developing, implementing, or maintaining NLP applications such as text classification, named entity recognition, or information extraction using spaCy. Professionals in this field may work as data scientists, NLP engineers, or machine learning specialists, leveraging spaCy's efficient and easy-to-use tools to process and analyze large volumes of text data. Familiarity with Python programming and a background in linguistics or machine learning are often beneficial for such roles.

Is spaCy still relevant?

SpaCy is a widely used open-source library for natural language processing, valued for its speed and efficiency in tasks like tokenization, entity recognition, and text classification. It remains relevant in data science and AI roles that require NLP skills, often complemented by knowledge of machine learning frameworks and Python programming. Staying updated with the latest versions and features ensures continued applicability in the field.

What jobs pay 2000 a day?

High-paying jobs that can earn $2,000 or more per day include specialized roles such as senior corporate lawyers, experienced surgeons, investment bankers, and certain high-level consultants. These positions typically require advanced skills, extensive experience, and often involve demanding schedules or high-pressure environments.

What is spaCy used for?

SpaCy is a popular open-source library used by NLP professionals and data scientists for natural language processing tasks such as tokenization, part-of-speech tagging, named entity recognition, and dependency parsing. It is designed for efficient processing of large text corpora and integrates well with machine learning workflows. Knowledge of Python and NLP concepts is helpful when working with spaCy in a job setting.
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Spacy jobs near you

Gen AI Data Engineer (Only W2) - NATIVE SPANISH SPEAKER

Saransh Inc

Charlotte, NC • On-site

$111K - $134K/yr

Contractor

Posted 17 days ago

Job description

Role: Gen AI Data Engineer
Location: Charlotte, NC (Onsite from Day 1)
Job Type: Contract (W2)
 
NOTE: This Role Requires NATIVE SPANISH SPEAKER

Job Summary:
  • Seeking an AI Engineer to support our IVR and Conversational AI platforms, with a strong focus on building LLM powered voice and chat experiences.
  • This role involves designing and developing prompt driven and RAG based AI solutions that enhance customer interactions across IVR channels.
  • The ideal candidate will have hands on experience with large language models, vector databases, and conversational AI frameworks.
  • As this position supports both English and Spanish customer experiences, the candidate must be a native Spanish speaker to ensure high quality prompt design, linguistic accuracy, and culturally aligned conversational flows.
Experience:
  • Overall 10 Plus years.
  • 3+ years of experience in AI / ML development
  • Strong proficiency in Python
  • Hands-on experience with LLMs, including:
  • Prompt engineering
  • Model evaluation
  • Retrieval-Augmented Generation (RAG)
  • Experience working in enterprise or customer-facing systems is a plus
Nice to have Skills:
NLP experience related to conversational AI
• Develop and maintain AI solutions for IVR and conversational platforms
• Implement LLM-based workflows including prompt engineering, evaluation, and RAG
• Build knowledge retrieval pipelines to support IVR use cases (FAQs, troubleshooting, account queries)
• Collaborate with IVR, speech, and platform teams to integrate AI models into production systems
• Evaluate model performance for accuracy, latency, and conversational quality
• Assist in continuous improvement of AI-driven voice experiences
• Python / ML: NumPy, Pandas, Scikit-learn
• LLM Frameworks: LangChain, LlamaIndex, Hugging Face Transformers
• Vector Databases: FAISS, Chroma, Pinecone, Qdrant
• NLP (Good to Have): spaCy, NLTK, Sentence-Transformers
• LLM Evaluation: TruLens, DeepEval, OpenAI Evals