Remote Data Jobs · NLP

Perform analysis on structured and unstructured data sets. Develop solutions for targeted business needs. Implement models to uncover patterns and predictions creating business value and innovation.

• Design and refine client-specific prompts, ensuring accuracy and relevance.
• Improve prompts for clarity and performance, automate testing with scripts.
• Work with Customer Success and Data Science teams, maintaining clear documentation.

Responsible for managing data migration processes, identifying and resolving anomalies, and maintaining data integrity across systems. Working closely with cross-functional teams, you will support process improvements, communicate trends and insights, and contribute to a seamless user experience. Innovate on operational workflows and provide technical support during migrations.

• Design, develop, and maintain scalable data pipelines for ingestion, parsing, filtering, and optimization of diverse datasets.
• Implement robust data modeling techniques to structure and format datasets for efficient training.
• Collaborate with researchers, engineers, and cross-functional teams to meet the evolving needs of AI models.

• Design, implement, and maintain AI systems.
• Develop AI evaluation modules, ensuring model observability, benchmarking, and performance monitoring.
• Build and optimize AI pipelines, data transformations, and metadata layers for clinical applications.

Apply expertise in text mining, natural language processing, and data analysis as part of Amplity's innovative Intel team, delivering impactful data products for healthcare clients in this fully remote role. The ideal candidate is detail-oriented, self-motivated, and thrives in a fast-paced environment.

You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe. You will work with stakeholders to convert business requirements into technical specifications; train LLMs from scratch on a large GPU cluster; collect and process pre-training and fine-tuning datasets; support and improve existing subsystems.

Join the global leader in cloud contact center technology, where innovation meets real-world impact. As a Middle AI Engineer / Data Scientist, you'll develop customer-facing AI solutions, customize product features, and create reusable templates. Gain hands-on experience with NLP, machine learning, and AI systems, working closely with experienced engineers, conversation designers, and consultants. This is a unique opportunity to join a team from the ground up and grow your technical and client-facing skills.

We are looking for an experienced Machine Learning Engineer to join our team to develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities. As a member of this project, you will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.

The contractor will focus on developing machine learning algorithms, data analysis, and optimizing data pipelines. The ideal contractor should have strong expertise in developing machine learning algorithms, natural language processing (NLP), and experience working with large-scale data systems. The contractor will develop and implement machine learning algorithms to solve complex problems. They will design and maintain data pipelines, including transformations and preprocessing. They will conduct data analysis to identify trends and insights.