4,538 Llm Annotator Trainer jobs in the United States
AI/Machine Learning Research Scientist - Natural Language Processing
Posted 11 days ago
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Job Description
Responsibilities:
- Conduct fundamental and applied research in NLP and related AI fields.
- Design, implement, and evaluate novel machine learning algorithms and models for various NLP tasks.
- Collaborate with other researchers and engineers to translate research concepts into practical applications.
- Process and analyze large-scale text datasets to identify patterns and insights.
- Stay current with the latest research in NLP, deep learning, and artificial intelligence.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts for new NLP features and capabilities.
- Contribute to the open-source community where appropriate.
- Mentor junior researchers and engineers.
- Contribute to the intellectual property portfolio of the company.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong focus on NLP.
- 3+ years of post-doctoral or industry research experience in NLP.
- Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy).
- Proficiency in programming languages such as Python.
- Strong publication record in leading NLP/ML conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Experience with large language models (LLMs), transformer architectures, and related techniques.
- Excellent problem-solving skills and the ability to think creatively and analytically.
- Strong communication and collaboration skills, comfortable working within a distributed team.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- A passion for pushing the boundaries of AI research.
This role is a fully remote position, open to candidates residing anywhere in the United States. The role is conceptually tied to research originating from Richmond, Virginia, US .
AI Research Scientist - Natural Language Processing
Posted today
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AI Research Scientist, Natural Language Processing
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing and related AI fields.
- Develop and implement novel algorithms and models for NLP tasks.
- Design and execute experiments, analyze results, and interpret findings.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay current with the latest advancements in AI and NLP research.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers.
- Contribute to the development of intellectual property.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related field.
- Strong publication record in leading AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch).
- Proficiency in Python and relevant AI/ML libraries.
- Deep understanding of NLP concepts, techniques, and applications.
- Experience with large language models and transformer architectures.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct state-of-the-art research in Natural Language Processing, including areas such as language understanding, generation, translation, summarization, and sentiment analysis.
- Design, develop, and implement advanced machine learning and deep learning models for NLP tasks.
- Utilize and adapt cutting-edge NLP techniques and architectures (e.g., Transformers, BERT, GPT variants).
- Collaborate with cross-functional teams to integrate research findings into product development.
- Stay abreast of the latest academic research and industry trends in AI and NLP.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of new AI capabilities.
- Analyze and interpret large datasets to train and evaluate NLP models.
- Contribute to the intellectual property portfolio through patents and publications.
- Mentor junior researchers and engineers.
- Evaluate and select appropriate tools and technologies for NLP research and development.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related quantitative field.
- Minimum of 5 years of research experience in NLP and Machine Learning, with a strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages commonly used in AI research, such as Python.
- Hands-on experience with large-scale language models and transformer architectures.
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research environment.
- Strong written and verbal communication skills, capable of presenting complex technical information clearly.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
This remote research role offers a highly competitive salary, excellent benefits, and the opportunity to work on truly transformative AI projects. If you are a passionate researcher eager to push the boundaries of NLP, apply now.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP).
- Develop, train, and evaluate advanced NLP models and algorithms.
- Implement and deploy AI solutions leveraging techniques like deep learning and LLMs.
- Analyze and interpret large text datasets to extract insights.
- Collaborate with cross-functional teams to integrate NLP capabilities into products.
- Stay abreast of the latest research and advancements in AI and NLP.
- Publish research findings in top-tier conferences and journals.
- Contribute to the development of intellectual property.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
- Proven track record of research and development in NLP.
- Strong programming skills in Python.
- Hands-on experience with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face, TensorFlow, PyTorch).
- Expertise in deep learning architectures, especially transformers and LLMs.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively in a remote, collaborative environment.
AI Research Scientist - Natural Language Processing
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in NLP, including areas such as language modeling, sentiment analysis, machine translation, question answering, and text generation.
- Develop and implement novel algorithms and deep learning models for complex NLP tasks.
- Design and execute experiments to evaluate the performance of AI models and algorithms.
- Publish research findings in top-tier conferences and journals.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI, machine learning, and NLP research.
- Mentor junior researchers and interns.
- Contribute to the strategic direction of the AI research roadmap.
- Analyze large text datasets to identify patterns and extract meaningful insights.
- Develop and refine evaluation metrics for NLP models.
- Present research findings to internal stakeholders and the wider scientific community.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a focus on NLP.
- Proven track record of research and publication in leading NLP conferences (e.g., ACL, EMNLP, NAACL).
- Strong theoretical and practical understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy).
- Expertise in programming languages such as Python.
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work both independently and collaboratively within a research team.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
This hybrid role, based in Detroit, Michigan, US , offers an exciting opportunity to shape the future of artificial intelligence in language understanding and generation.
AI Research Scientist - Natural Language Processing
Posted 2 days ago
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Job Description
Key responsibilities include conducting research into state-of-the-art NLP techniques, including deep learning models such as Transformers, LSTMs, and CNNs, for tasks like sentiment analysis, machine translation, text summarization, and question answering. You will design and implement experimental frameworks, analyze and interpret research results, and contribute to scientific publications and conference presentations. Collaboration with other research scientists and engineers to integrate research findings into practical applications and product development is a critical component of this role. You will also be responsible for exploring new research directions, evaluating emerging NLP technologies, and mentoring junior researchers.
The ideal candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a strong publication record in top-tier NLP conferences and journals. Proven expertise in NLP techniques, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages such as Python is essential. Experience with large-scale data processing and a solid understanding of linguistic principles are highly beneficial. Excellent analytical, problem-solving, and critical thinking skills are paramount. The ability to work independently, manage research projects effectively, and communicate complex research concepts clearly to both technical and non-technical audiences is required. This is an exceptional opportunity for a passionate AI researcher to make significant contributions in a dynamic, fully remote, and collaborative research environment.
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AI Research Scientist (Natural Language Processing)
Posted 2 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP) and related AI fields.
- Develop, implement, and evaluate novel NLP models and algorithms.
- Explore and apply deep learning techniques to NLP tasks such as machine translation, text generation, summarization, and sentiment analysis.
- Design and execute research experiments to test hypotheses and validate findings.
- Analyze large datasets to extract meaningful insights and inform model development.
- Collaborate with other researchers and engineers to integrate NLP models into AI systems and products.
- Stay current with the latest advancements in AI, machine learning, and NLP research.
- Publish research findings in leading academic conferences and journals.
- Develop and maintain high-quality, well-documented code for research prototypes.
- Present research results to both technical and non-technical audiences.
- Contribute to the overall research strategy and direction of the team.
- Mentor junior researchers and interns as needed.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field with a strong focus on NLP.
- Proven research experience in NLP, demonstrated through publications in top-tier conferences (e.g., ACL, EMNLP, NeurIPS) or journals.
- Strong theoretical understanding and practical experience with deep learning architectures for NLP (e.g., Transformers, RNNs, CNNs).
- Proficiency in programming languages such as Python.
- Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Familiarity with NLP libraries and toolkits (e.g., Hugging Face Transformers, spaCy, NLTK, Gensim).
- Experience with data processing, feature engineering, and model evaluation techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex research concepts.
- Ability to work independently and collaboratively in a remote research environment.
Principal AI Engineer - Natural Language Processing
Posted 2 days ago
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Job Description
- Leading the research, development, and deployment of state-of-the-art NLP models, including transformer architectures, LLMs, and sentiment analysis.
- Designing and architecting scalable NLP pipelines and infrastructure for large-scale data processing and model training.
- Mentoring and guiding a team of talented AI engineers and researchers.
- Collaborating closely with product managers and stakeholders to define AI strategies and translate business requirements into technical solutions.
- Evaluating and integrating cutting-edge NLP techniques and tools into existing systems.
- Developing robust evaluation metrics and frameworks for NLP models.
- Contributing to high-impact publications, patents, and open-source contributions.
- Ensuring the ethical development and deployment of AI systems, with a focus on fairness, accountability, and transparency.
- Optimizing NLP models for performance, efficiency, and scalability in production environments.
- Staying current with the rapidly evolving landscape of AI and NLP research and applying novel findings.
- Leading code reviews and establishing best practices for AI development.
- Identifying and addressing potential biases in training data and model outputs.
AI Research Scientist, Natural Language Processing
Posted 2 days ago
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