Explore the growing field of LLM (Large Language Model) Annotator Trainer roles. These positions are crucial in refining and improving the performance of AI models through meticulous data annotation and training. Individuals in these roles work to ensure that LLMs can accurately and effectively understand and respond to a wide range of queries. This work involves labeling data, identifying biases, and developing training strategies to enhance model accuracy and reliability.3,964 Llm Annotator Trainer jobs in the United States
Senior Machine Learning Engineer - Natural Language Processing
78201 San Antonio, Texas
$140000 Annually
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A pioneering technology firm based in San Antonio, Texas , is actively seeking a highly skilled Senior Machine Learning Engineer with a specialization in Natural Language Processing (NLP). This role is at the forefront of developing sophisticated AI solutions that understand and generate human language. The Senior ML Engineer will be responsible for designing, building, and deploying advanced NLP models for applications such as sentiment analysis, text summarization, machine translation, and conversational AI. You will lead the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment in production environments. Key responsibilities include researching and implementing state-of-the-art NLP techniques, including transformer models, recurrent neural networks (RNNs), and attention mechanisms. The successful candidate will collaborate with product managers and software engineers to integrate ML capabilities into new and existing products, ensuring scalability and performance. Experience with large language models (LLMs) and their fine-tuning for specific tasks is highly desirable. Proficiency in Python, along with ML frameworks such as TensorFlow, PyTorch, and libraries like spaCy, NLTK, and Hugging Face Transformers, is essential. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, coupled with a minimum of 5 years of experience in machine learning engineering, specifically focusing on NLP, is required. Strong problem-solving abilities, excellent programming skills, and the capacity to communicate complex technical concepts clearly are vital. This role presents a significant opportunity to contribute to groundbreaking advancements in AI and shape the future of human-computer interaction.
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AI Research Scientist - Natural Language Processing
02108 Boston, Massachusetts
$140000 Annually
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Our client is seeking a highly innovative and experienced AI Research Scientist specializing in Natural Language Processing (NLP) to join their pioneering research and development team. This is a fully remote position, allowing you to contribute to groundbreaking advancements in AI from anywhere. You will focus on developing and implementing cutting-edge NLP models and algorithms to solve complex problems, enhance user experiences, and drive product innovation. The ideal candidate will possess a deep theoretical understanding and practical experience in areas such as sentiment analysis, machine translation, text summarization, question answering, and conversational AI. You will be responsible for designing experiments, developing prototypes, and evaluating the performance of NLP models using state-of-the-art techniques. Collaboration with other AI researchers, engineers, and product managers is crucial for translating research findings into impactful applications. Proficiency in programming languages like Python, along with expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK), is essential. You should have a strong publication record in top-tier AI/NLP conferences and journals, demonstrating your expertise and contributions to the field. We are looking for a candidate who is passionate about pushing the boundaries of AI, possesses exceptional analytical and problem-solving skills, and thrives in a research-oriented, fast-paced environment. The ability to conceptualize, design, and execute research projects from ideation to implementation is key. This is an exceptional opportunity to work on challenging problems with a talented team and make significant contributions to the future of artificial intelligence.
Key Responsibilities:
Key Responsibilities:
- Conduct research and develop novel NLP models and algorithms.
- Implement and evaluate state-of-the-art NLP techniques.
- Design and execute experiments to test hypotheses and validate models.
- Collaborate with research and engineering teams to integrate NLP solutions.
- Publish research findings in leading AI/NLP conferences and journals.
- Develop prototypes and proof-of-concepts for new NLP applications.
- Analyze and interpret large text datasets.
- Stay abreast of the latest advancements and trends in AI and NLP.
- Contribute to the team's intellectual property through innovative research.
- Mentor junior researchers and contribute to knowledge sharing.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Proven research experience in Natural Language Processing (NLP).
- Strong understanding of machine learning, deep learning, and neural network architectures.
- Expertise in Python programming and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency with NLP frameworks (e.g., Hugging Face Transformers, spaCy, NLTK).
- Experience with large-scale data processing and analysis.
- Strong publication record in top-tier AI/NLP venues.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and collaboration abilities.
- Ability to work independently and drive research projects forward.
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AI Research Scientist - Natural Language Processing
32801 Oakland, Florida
$130000 Annually
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Our client is seeking a highly innovative and motivated AI Research Scientist specializing in Natural Language Processing (NLP) to join their cutting-edge team. This fully remote position offers the exciting opportunity to contribute to groundbreaking research and development in the field of artificial intelligence. You will be responsible for designing, developing, and implementing advanced NLP models and algorithms, conducting research, and publishing findings. Key duties include exploring new machine learning techniques, processing and analyzing large text datasets, and collaborating with engineers to deploy AI solutions. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a strong specialization in NLP. Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch), NLP libraries (e.g., NLTK, spaCy), and programming languages like Python is essential. You should have a strong publication record in top-tier AI conferences or journals. This role demands exceptional analytical and problem-solving skills, creativity, and the ability to work independently and collaboratively in a virtual environment. We are looking for an individual passionate about pushing the boundaries of AI and contributing to novel applications of NLP. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. You will play a key role in shaping the future of intelligent systems.
Responsibilities:
Responsibilities:
- Conduct research and develop advanced NLP models and algorithms.
- Design and implement deep learning architectures for text processing.
- Analyze large text datasets to extract insights and patterns.
- Collaborate with engineers to deploy AI solutions into production.
- Stay current with the latest advancements in AI and NLP research.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Evaluate and optimize model performance.
- Contribute to the development of AI strategy and roadmaps.
- Work effectively in a remote, collaborative team environment.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field with a focus on NLP.
- Minimum of 3-5 years of research experience in NLP.
- Strong knowledge of machine learning, deep learning, and NLP techniques.
- Proficiency in Python and relevant AI/ML libraries (TensorFlow, PyTorch, scikit-learn, NLTK, spaCy).
- Experience with large-scale data processing and analysis.
- Strong publication record in leading AI conferences/journals.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage research projects remotely.
- Strong communication and collaboration skills.
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2
Lead AI Engineer - Natural Language Processing
21201 Baltimore, Maryland
$140000 Annually
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Our client is seeking a visionary Lead AI Engineer specializing in Natural Language Processing (NLP) to join their innovative team in Baltimore. This is an on-site role where you will lead the development and implementation of cutting-edge AI solutions that leverage NLP to enhance products and services. You will be instrumental in guiding a team of talented engineers, driving research and development, and ensuring the successful deployment of AI models. The ideal candidate possesses a deep understanding of machine learning, NLP techniques, and a passion for pushing the boundaries of artificial intelligence.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of advanced NLP models and algorithms for various applications, including text classification, sentiment analysis, named entity recognition, and machine translation.
- Architect scalable and robust AI systems for data processing, model training, and inference.
- Collaborate with product managers and data scientists to define AI project requirements and roadmaps.
- Mentor and guide a team of AI/ML engineers, fostering a culture of innovation and technical excellence.
- Conduct research into state-of-the-art NLP techniques and evaluate their applicability to business problems.
- Optimize model performance, accuracy, and efficiency for production environments.
- Develop and maintain robust data pipelines for NLP model training and evaluation.
- Implement MLOps practices for continuous integration, continuous deployment, and monitoring of AI models.
- Stay current with the latest advancements in AI, machine learning, deep learning, and NLP.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Contribute to the company's intellectual property through patents and publications.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 7-10 years of experience in AI/ML engineering, with a strong focus on Natural Language Processing.
- Proven experience in leading technical teams and projects.
- Deep understanding of NLP concepts, algorithms, and frameworks (e.g., Transformers, BERT, GPT, Spacy, NLTK).
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Strong knowledge of software engineering principles and best practices, including version control (Git) and CI/CD.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and leadership abilities.
- Experience with large-scale data processing and distributed computing is a plus.
- Demonstrated ability to translate business requirements into technical solutions.
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3
AI Research Scientist - Natural Language Processing
32202 Jacksonville, Florida
$120000 Annually
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Our client is pioneering advancements in Artificial Intelligence and is seeking a highly skilled AI Research Scientist specializing in Natural Language Processing (NLP) to join their innovative, fully remote team. This role is critical for pushing the boundaries of NLP capabilities, developing cutting-edge models, and contributing to state-of-the-art AI solutions. The successful candidate will have a passion for research and development, a strong theoretical foundation in machine learning, and practical experience in implementing NLP algorithms. You will be instrumental in designing, implementing, and evaluating novel NLP techniques for various applications, from text generation and sentiment analysis to machine translation and question answering. This position demands a collaborative spirit, as you'll work closely with a globally distributed team of researchers and engineers, sharing insights and contributing to a knowledge-rich environment. Your contributions will directly impact the development of intelligent systems that are transforming industries.
Key Responsibilities:
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP) and related areas of Artificial Intelligence.
- Develop, implement, and evaluate novel NLP algorithms and models (e.g., transformers, LSTMs, RNNs).
- Design and conduct experiments to benchmark and improve NLP system performance.
- Process and analyze large-scale text datasets.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay current with the latest research publications and advancements in NLP and AI.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers.
- Contribute to the overall AI strategy and roadmap.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Linguistics, or a related field with a focus on NLP.
- Minimum of 3 years of research experience in NLP and machine learning.
- Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Proven experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Solid understanding of deep learning architectures and their application to NLP tasks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
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4
AI Research Scientist - Natural Language Processing
10001 New York, New York
$140000 Annually
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Our client, a trailblazer in Artificial Intelligence and Emerging Technologies, is actively recruiting an accomplished AI Research Scientist with a specialization in Natural Language Processing (NLP) to join our cutting-edge research team in **New York City, New York, US**. This role offers a stimulating opportunity to push the boundaries of AI by developing and implementing advanced NLP models and algorithms. You will be responsible for conducting research, designing experiments, and developing innovative solutions for tasks such as text generation, sentiment analysis, machine translation, and question answering. Collaboration with a team of world-class AI researchers and engineers to advance our AI capabilities and product development is essential. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch), NLP libraries (e.g., Hugging Face Transformers, spaCy), and cloud computing platforms is required. A strong foundation in machine learning, statistical modeling, and programming (Python) is a prerequisite. You will be involved in publishing research findings in top-tier conferences and journals. The ideal candidate will possess excellent analytical, critical thinking, and problem-solving skills, coupled with exceptional communication and presentation abilities. A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a minimum of 5 years of research experience in NLP, is required. This position offers a hybrid work arrangement, allowing for a balance of on-site collaboration in our **New York City, New York, US** office and remote work flexibility.
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5
AI Research Scientist - Natural Language Processing
85001 Whispering Pines, Arizona
$140000 Annually
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Our client is seeking an innovative and highly skilled AI Research Scientist specializing in Natural Language Processing (NLP) to join our advanced technology division. This hybrid role, based in our Phoenix, Arizona, US office, will focus on developing and implementing cutting-edge NLP models and algorithms to solve complex business problems and drive technological innovation. You will be part of a collaborative team of researchers and engineers, contributing to projects that push the boundaries of artificial intelligence. The ideal candidate has a strong academic background, extensive experience in NLP techniques, and a passion for applying AI to real-world challenges.
Responsibilities:
Responsibilities:
- Conduct research and development in Natural Language Processing, including areas such as text classification, sentiment analysis, machine translation, question answering, and dialogue systems.
- Design, implement, and evaluate state-of-the-art NLP models using deep learning frameworks.
- Develop and apply algorithms for data preprocessing, feature engineering, and model training for large-scale text datasets.
- Collaborate with product managers and engineers to translate research findings into practical applications and integrate AI solutions into existing platforms.
- Stay current with the latest advancements in AI, machine learning, and NLP research through literature review and participation in conferences.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers, providing guidance on NLP techniques and best practices.
- Develop and maintain robust codebases for research experiments and production systems.
- Contribute to the design and architecture of AI-powered features and products.
- Work with large and complex datasets, ensuring data quality and integrity for model training.
- Explore novel approaches and techniques to address challenging NLP problems.
- Present research progress and findings to technical and non-technical audiences.
- Participate in peer reviews of research proposals and publications.
- Foster a culture of innovation and continuous learning within the AI team.
- Evaluate and adopt new tools and technologies relevant to AI and NLP research.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field.
- Minimum of 3 years of research experience in Natural Language Processing (post-Master's or equivalent industry experience).
- Strong theoretical and practical knowledge of machine learning, deep learning, and NLP techniques.
- Proficiency in programming languages such as Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with NLP libraries and tools (e.g., spaCy, NLTK, Hugging Face Transformers).
- Proven ability to design, implement, and evaluate complex NLP models.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts.
- Experience working with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Ability to work effectively both independently and collaboratively in a hybrid team environment.
- Experience with large language models (LLMs) and transformer architectures is highly desirable.
- A passion for research and innovation in artificial intelligence.
- Demonstrated ability to contribute to impactful research projects.
- Commitment to ethical AI practices and bias mitigation.
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Lead AI Engineer, Natural Language Processing
68101 Omaha, Nebraska
$160000 Annually
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Our client is seeking a visionary Lead AI Engineer specializing in Natural Language Processing (NLP) to join our cutting-edge team in Omaha, Nebraska, US . This is a leadership role where you will guide the development of advanced AI solutions, leveraging NLP to create intelligent systems that transform our business. You will be responsible for designing, implementing, and deploying state-of-the-art NLP models, mentoring a team of AI engineers, and collaborating with product management to define the AI roadmap. Key responsibilities:
- Leading the design, development, and implementation of NLP models and algorithms for applications such as sentiment analysis, text classification, named entity recognition, and machine translation.
- Architecting and building scalable AI platforms and infrastructure for training and deploying NLP models.
- Mentoring and guiding a team of junior AI and ML engineers, fostering a culture of innovation and technical excellence.
- Collaborating with product managers, data scientists, and software engineers to translate business requirements into AI solutions.
- Conducting research on the latest advancements in NLP and machine learning to identify and integrate new technologies.
- Developing robust evaluation metrics and processes to assess model performance.
- Ensuring the ethical development and deployment of AI systems.
- Contributing to the company's intellectual property through publications and patents.
- Managing project timelines, resources, and deliverables for AI initiatives.
- Staying at the forefront of AI and NLP research and industry best practices.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of experience in AI/ML engineering with a strong focus on NLP.
- Proven track record of developing and deploying production-level NLP models.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Strong understanding of machine learning algorithms, statistical modeling, and data science principles.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong leadership, communication, and team collaboration abilities.
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7
AI Research Scientist - Natural Language Processing
73102 Oklahoma City, Oklahoma
$150000 Annually
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Our client is a cutting-edge technology company at the forefront of artificial intelligence research, seeking a brilliant AI Research Scientist specializing in Natural Language Processing (NLP) to join their fully remote team. This is a unique opportunity to contribute to groundbreaking advancements in AI, focusing on developing and implementing state-of-the-art NLP models and algorithms. You will be responsible for designing, building, and evaluating sophisticated language models for applications such as text generation, sentiment analysis, machine translation, and question answering. Your work will involve extensive research, experimentation, and data analysis using large-scale datasets.
Key responsibilities include staying current with the latest academic research and industry trends in NLP and machine learning, and applying this knowledge to develop innovative solutions. You will collaborate with a team of world-class AI researchers and engineers in a remote-first environment, leveraging distributed computing resources and cloud platforms. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record in top-tier NLP conferences or journals. Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX is essential. Proficiency in programming languages like Python is required, along with experience in utilizing large language models (LLMs) and associated libraries.
We are looking for individuals with a passion for pushing the boundaries of AI and a proven ability to translate complex research concepts into practical applications. This role offers the flexibility and autonomy of remote work, allowing you to contribute from anywhere. The successful candidate will be a self-starter, capable of managing their time effectively and driving projects forward independently. Join an innovative company shaping the future of artificial intelligence.
Key responsibilities include staying current with the latest academic research and industry trends in NLP and machine learning, and applying this knowledge to develop innovative solutions. You will collaborate with a team of world-class AI researchers and engineers in a remote-first environment, leveraging distributed computing resources and cloud platforms. The ideal candidate possesses a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record in top-tier NLP conferences or journals. Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX is essential. Proficiency in programming languages like Python is required, along with experience in utilizing large language models (LLMs) and associated libraries.
We are looking for individuals with a passion for pushing the boundaries of AI and a proven ability to translate complex research concepts into practical applications. This role offers the flexibility and autonomy of remote work, allowing you to contribute from anywhere. The successful candidate will be a self-starter, capable of managing their time effectively and driving projects forward independently. Join an innovative company shaping the future of artificial intelligence.
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8
AI Research Scientist - Natural Language Processing
35801 Huntsville, Alabama
$140000 Annually
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A cutting-edge technology firm specializing in AI and emerging technologies is seeking an AI Research Scientist with expertise in Natural Language Processing (NLP) to join their team in Huntsville, Alabama . This hybrid role involves pushing the boundaries of AI by developing and implementing novel NLP models and algorithms. You will contribute to research projects aimed at enhancing language understanding, generation, and translation capabilities for various applications.
Your responsibilities will include conducting literature reviews, designing experiments, and implementing state-of-the-art NLP techniques, including deep learning models (e.g., Transformers, LSTMs). You will work with large datasets, perform data preprocessing and feature engineering, and evaluate model performance. Collaboration with cross-functional teams, including software engineers and data scientists, will be integral to the success of these projects. You will also be responsible for publishing research findings and presenting work at conferences.
The ideal candidate will have a strong theoretical and practical understanding of machine learning, deep learning, and NLP. Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, NLTK, spaCy) is essential. A PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on NLP is highly preferred. We are looking for a creative, analytical thinker with a passion for innovation and the ability to translate complex research concepts into tangible solutions.
Qualifications:
Your responsibilities will include conducting literature reviews, designing experiments, and implementing state-of-the-art NLP techniques, including deep learning models (e.g., Transformers, LSTMs). You will work with large datasets, perform data preprocessing and feature engineering, and evaluate model performance. Collaboration with cross-functional teams, including software engineers and data scientists, will be integral to the success of these projects. You will also be responsible for publishing research findings and presenting work at conferences.
The ideal candidate will have a strong theoretical and practical understanding of machine learning, deep learning, and NLP. Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, NLTK, spaCy) is essential. A PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on NLP is highly preferred. We are looking for a creative, analytical thinker with a passion for innovation and the ability to translate complex research concepts into tangible solutions.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a specialization in NLP.
- Proven experience in developing and deploying NLP models using deep learning frameworks (TensorFlow, PyTorch).
- Expertise in Python programming and NLP libraries.
- Strong understanding of machine learning algorithms and statistical modeling.
- Excellent research, analytical, and problem-solving skills.
- Ability to work collaboratively in a hybrid environment and communicate technical concepts effectively.
Apply Now
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