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Entry Level Nlp Research Scientist Jobs (NOW HIRING)

Snorkel AI

Research Scientist

Redwood City, CA · On-site +1

$200K - $350K/yr

As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and ... Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on ...

Latent

Research Scientist

San Francisco, CA · On-site

$225K - $300K/yr

Research Scientist About Latent Health Healthcare today is only truly personalized for two groups ... Experience with LLMs, NLP, or sequence modeling * Experience with reinforcement learning or ...

Linkup

Research Scientist

New York, NY · On-site

About the role We're looking for a top‑tier Research Scientist to join our tech team. Your core ... Bring hands-on experience with LLMs, NLP, embeddings, or information retrieval systems * HNSW and ...

Brewer Science Inc.

Research Scientist IV

Rolla, MO · On-site

Train and mentor entry-level scientists and technicians to complete tasks. * Independently lead all aspects of research and development projects, and the transfer through the product development ...

Brewer Science, Inc.

Research Scientist IV

Rolla, MO · On-site

Train and mentor entry-level scientists and technicians to complete tasks. * Independently lead all aspects of research and development projects, and the transfer through the product development ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

... NLP) safety. This role contributes to the development of rigorous evaluation methodologies ... At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more ...

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

The ideal candidate will have strong machine learning, data science and software engineering skills ... Using NLP to construct features from varied datasets * Formulating research hypotheses to derive ...

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Entry Level Nlp Research Scientist information

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$50.5K

$130.1K

$174K

How much do entry level nlp research scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level nlp research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does an entry level NLP research scientist do?

An Entry Level NLP (Natural Language Processing) Research Scientist works on developing and improving algorithms that allow computers to understand, interpret, and generate human language. They typically assist with data collection, preprocessing, model training, and evaluation under the guidance of senior researchers. Tasks may include literature reviews, experimental design, and contributing to research papers or technical documentation. Their work helps advance technologies like chatbots, voice assistants, and machine translation systems.

What are the key skills and qualifications needed to thrive as an entry level NLP research scientist?

To thrive as an Entry Level NLP Research Scientist, you need a strong background in computer science, mathematics, and linguistics, typically supported by a relevant degree (such as in Computer Science or Computational Linguistics). Familiarity with programming languages like Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and NLP libraries (such as spaCy or NLTK) is essential. Strong analytical thinking, creativity, and effective communication skills help you collaborate and innovate in research settings. These competencies enable you to design, implement, and evaluate NLP models that advance language technologies.

What are some common challenges faced by entry level NLP research scientists when transitioning from academia to industry?

Entry-level NLP research scientists often find the transition from academia to industry challenging due to differences in project timelines, expectations, and collaboration styles. While academic research emphasizes novelty and long-term investigations, industry projects typically prioritize practical impact and faster iteration cycles. Adjusting to working in cross-functional teams with engineers, product managers, and stakeholders can require effective communication and adaptability. Additionally, managing real-world data constraints and scalability issues is crucial in industry settings. Embracing these changes and being open to learning from colleagues with diverse backgrounds will help ease the transition and contribute to professional growth.

What is the difference between Entry Level Nlp Research Scientist vs Data Scientist?

AspectEntry Level Nlp Research ScientistData Scientist
Required CredentialsBachelor's or Master's in Computer Science, NLP, or related field; knowledge of NLP toolsBachelor's or Master's in Data Science, Statistics, or related field; programming skills
Work EnvironmentResearch-focused, academic or R&D labs, tech companiesBusiness analytics, data analysis, product development teams
Industry UsageAI research, NLP product developmentBusiness intelligence, marketing, finance, tech

Entry Level Nlp Research Scientists focus on developing and improving NLP algorithms, often in research or R&D settings. Data Scientists analyze data to inform business decisions across various industries. While both roles require programming skills and a background in data or language processing, Nlp Research Scientists are more research-oriented, whereas Data Scientists focus on applying data analysis to solve business problems.

What are the most commonly searched types of Nlp Research Scientist jobs?

The most popular types of Nlp Research Scientist jobs are:

What states have the most Entry Level Nlp Research Scientist jobs?

States with the most job openings for Entry Level Nlp Research Scientist jobs include:

Entry Level Nlp Research Scientist jobs near you
Infographic showing various Entry Level Nlp Research Scientist job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 17% Contract, and 17% Nights. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist

Snorkel AI

Redwood City, CA • On-site, Remote

$200K - $350K/yr

Full-time

Re-posted 22 days ago

Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-edge research and real-world AI systems. This is a hands-on role where you will prototype, build, and deploy innovative AI solutions-translating research breakthroughs into scalable, practical applications that solve real-world problems.
Snorkel AI operates in a fast-paced, high-impact environment, where we move quickly to push the boundaries of what's possible. We're looking for someone who thrives on rapid iteration, solving open-ended challenges, and driving innovation from research into production.
Location: Redwood City or San Francisco OR REMOTE
Main Responsibilities
  • Design, implement, and validate novel AI techniques for data developmentsuch as synthetic data generation, utilizing techniques such as LLM as a Judge
  • Prototype and build end-to-end workflows, integrating research ideas into scalable systems.
  • Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations.
  • Move fast and adapt-iterating on solutions in response to new challenges, customer needs, and emerging research.
  • Work closely with real-world design partners, testing solutions in applied settings with measurable impact.
  • Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI's broader research initiatives and rapidly productionize prototypes.
Preferred Qualifications
  • Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building.
  • Experience in developing, experimenting, and deploying AI models at scale.
  • Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.).
  • Experience with software engineering best practices (e.g., clean coding, modular design, version control).
  • Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs).
  • Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges.
  • A bias for action-willing to roll up your sleeves, experiment, and move quickly to solve problems.

This role is ideal for candidates who love both research and building real AI systems in a dynamic, high-impact setting. A Ph.D. in machine learning or a related field with a strong publication record is preferred, but we also welcome applications from those with equivalent expertise gained through industry experience, research labs, or other career paths.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role
$200,000-$350,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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