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Remote Nlp Jobs (NOW HIRING)

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

TMS

RPA Solutions Architect

Menlo Park, CA · Remote

$64.50 - $85/hr

CA (Remote) Duration: 12+ Months Role Type: Contract Job Location: Menlo Park, CA (Remote) Duration ... NLP-driven automation discovery and customer service workflow optimization - Automation Anywhere ...

Collabera Technologies

Linguist

Daly City, CA · Remote

$62/hr

... remote(Candidates based in TX & Illinois will not work on this role) Duration: 6+ Months (Possible extension) Pay Range: 55$ - $62/Hr Must Haves: Native with Python coding is a must / NLP, AI is ...

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and ... Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on ...

Pryon

Solutions Manager, Federal

New York, NY · Remote

The ideal candidate will be able to think creatively on how to apply NLP, AI and ML techniques to ... Benefits for Full Time Employees: - Remote first organization - 100% Company paid Health/Dental ...

Pryon

Solutions Manager, Federal

New York, NY · Remote

$140K - $150K/yr

The ideal candidate will be able to think creatively on how to apply NLP, AI and ML techniques to ... Benefits for Full Time Employees: - Remote first organization - 100% Company paid Health/Dental ...

Futran Tech Solutions Pvt. Ltd.

Data Scientist

New Demand - Data Scientist Remote * Total Years of experience 10-12 years * 6 months+ * Occasional ... Data Scientist with ~6+ years of expertise in Natural Language Processing (NLP), Large Language ...

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How much do remote nlp jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote nlp in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What types of projects or daily tasks are typical for a Remote NLP professional?

As a Remote NLP professional, your daily work often involves developing, testing, and deploying models that analyze or generate human language, such as chatbots, text classifiers, sentiment analyzers, or recommendation systems. You might spend time cleaning and preprocessing large datasets, collaborating with data scientists or engineers on model optimization, and communicating results to non-technical stakeholders. Remote NLP roles also require strong documentation and regular virtual check-ins to stay aligned with project goals. This environment offers the flexibility of remote work while engaging with innovative projects at the intersection of AI and language.

What is a Remote NLP job?

A Remote NLP (Natural Language Processing) job involves working on language-related AI tasks such as text analysis, machine learning models, and chatbot development from a remote location. These roles typically require expertise in programming languages like Python, NLP libraries (e.g., spaCy, NLTK, or Transformers), and machine learning techniques. Remote NLP professionals collaborate with teams online to develop language models, improve search algorithms, and enhance automated text processing systems.

What are the key skills and qualifications needed to thrive in the Remote Nlp position, and why are they important?

To thrive as a Remote NLP (Natural Language Processing) professional, you need strong programming skills (often in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science or a related field. Experience with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers, and familiarity with cloud-based development platforms are highly beneficial. Outstanding communication, problem solving, and self-motivation are crucial for effective collaboration in a remote environment. These combined technical and soft skills are essential for building robust language-based AI solutions while staying productive and engaged as part of a distributed team.

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Sr Data Scientist GenAI

Select Minds LLC

Dallas, TX • On-site, Remote

$150K - $210K/yr

Full-time

Posted 28 days ago

Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

Sr Data Scientist (NLP / LLM / Generative AI)
Location: Dallas, TX
Roles & Responsibilities :
- Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts.
- Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation).
- Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to production-ensuring reliability, scalability, monitoring, and maintainability.
- Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection.
- Optimize models and pipelines for performance, cost, and efficiency.
- Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use.
- Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning.
- Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.
Must-Have Qualifications:
- 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI.
- Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc.
- Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering.
- Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases.
- Experience working in production / deploying models (batch and streaming), working with MLOps practices.
- Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty.
- Good communicator: able to translate complex technical detail to business / non-technical stakeholders.
Nice to Have:
- Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field.
- Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems.
- Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks.
- Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.
This position is temporarily remote.
Compensation: $150,000.00 - $210,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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