15 of 15 Remote Sentiment Analysis Jobs

as Git. Required Skills: Experience in retraining LLMs on various datasets. Conversational AI. Python. Docker. Preferred Skills: Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems. Knowledge of model interpretability techniques and responsible AI practices. Familiarity with MLOps pipelines for continuous integration and deployment of AI models. Experience with API development and More ❯

as Git. Required skills Experience in retraining LLMs on various datasets Conversational AI Python Docker Preferred Skills: Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems. Knowledge of model interpretability techniques and responsible AI practices. Familiarity with MLOps pipelines for continuous integration and deployment of AI models. Experience with API development and More ❯

Contribute to the development of scalable algorithms for processing large datasets, implement and evaluate machine learning and deep learning algorithms for tasks such as text classification, sentiment analysis, entity recognition, and summarization. Assist in the design, development, and testing of ML models for real-time processing of unstructured data. Collaborate with senior team members to analyze the … of data structures and algorithms. Proficient in Machine Learning, including understanding Neural Networks and foundational concepts of NLP tasks such as Tokenization, Named Entity Recognition (NER), Sentiment Analysis, Part-of-Speech (POS) Analysis. Experience or coursework in Deep Learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills and a curiosity for learning new technologies. Good verbal More ❯

environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain. Experience in fine-tuning, model evaluation, and prompt engineering. Strong understanding of NLP techniques including text classification, summarization, sentiment analysis, and dialogue systems. Experience building and deploying ML models in cloud environments (AWS, Azure, GCP). Clearance Applicants selected will be subject to a security investigation and may need More ❯

engagement, retention, DEI, and organisation design, helping Arm anticipate and navigate how the world of work is changing Introduce advanced analytics capabilities such as predictive modelling, sentiment analysis, and organisational network analysis to shape our strategy and decision making Partner with colleagues across the People Group to define, prioritise, and deliver data-driven solutions, insights and More ❯

and interpersonal skills, with the ability to effectively collaborate with cross-functional teams Strong problem-solving and decision-making abilities Knowledge of agile project management methodologies Experience with data analysis and reporting Ability to adapt to changing priorities and work well under pressure Project management certification (e.g., PMP) is a plus Bachelor's degree in a relevant field Areas … Consider 1. Customer Service Enhancement Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect More ❯

Platforms Your role will be to build extensible systems that provide compounding value over time. You'll: Build the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data quality and reliability Design the … experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably e-commerce or review data … Strong communication skills to collaborate with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt, etc.) Why This Role Matters Judge.me is More ❯

a new affective channel that can be explored in art. The controls available in standard Virtual Reality (VR) can be supplemented with speech recognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of a new audiovisual interface, which would translate detected meanings of utterances to the morphing of abstract 3D …/or audio based projects Experience with real-time system optimisation (e.g. low-latency audio/visual feedback in VR) Experience with speech recognition (e.g. whisper), sentiment analysis, or emotion classification Experience with data backup systems Experience with working in interdisciplinary teams Excellent communication and interpersonal skills. Creative problem-solving skills Self-motivation and capable of independent More ❯

metadata. Detail-oriented mindset, with a proactive approach to error detection and quality assurance. Familiarity with LLMs and NLP pipelines (entity linking, topic modeling, text classification, sentiment analysis, etc) Familiarity with data querying and manipulation (SQL, Python, etc) Must Have Data Annotation Data querying and manipulation Familiarity with LLMs Natural Language Processing (NLP) Ontology Development Taxonomy Management More ❯

metadata. Detail-oriented mindset, with a proactive approach to error detection and quality assurance. Familiarity with LLMs and NLP pipelines (entity linking, topic modeling, text classification, sentiment analysis, etc) Familiarity with data querying and manipulation (SQL, Python, etc) Must Have Data Annotation Data querying and manipulation Familiarity with LLMs Natural Language Processing (NLP) Ontology Development Taxonomy Management More ❯

more than 2,100 hotels in over 60 countries reimagine guest communications with HiJiffy's omnichannel solution featuring cutting-edge tech innovations like self-learning AI, sentiment analysis, voice assistance, generative AI, and more. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Consulting, Information Technology, and Sales Industries More ❯

Services. Key Skills: * 6+ years in Dynamics 365 CE (3+ in Customer Service/Omnichannel) * Proven CCaaS and telephony integration experience * AI & automation expertise (Agent Assist, Virtual Agents, Sentiment Analytics) * Strong communication and stakeholder engagement Certifications like MB-230 or PL-600 are a plus. Apply now to shape the future of customer engagement at enterprise scale. More ❯

Key Outcomes: Retain your customers, secure their renewal and hit retention targets Amplify Customer Loyalty : Champion customer retention, ensuring seamless renewals and surpassing retention targets. Master Sentiment Analysis : Identify and neutralise potential sentiment risks across diverse stakeholders, from end users to top decision-makers, fostering enduring relationships. Empower Customer Advocacy : Lead as a vocal customer More ❯

Key Outcomes: Retain your customers, secure their renewal and hit retention targets Amplify Customer Loyalty : Champion customer retention, ensuring seamless renewals and surpassing retention targets. Master Sentiment Analysis : Identify and neutralise potential sentiment risks across diverse stakeholders, from end users to top decision-makers, fostering enduring relationships. Empower Customer Advocacy : Lead as a vocal customer More ❯