Remote Data Jobs · LLMs

• Develop and operate modern data architecture approaches to meet key business objectives.
• Develop intricate data processing pipelines, addressing clients' most challenging problems.
• Collaborate with data scientists to design scalable implementations of their models.

• Design and develop machine learning infrastructure, tooling, and models.
• Build scalable, resilient services to support data integration and event processing.
• Coach and collaborate with team members, sharing expertise and encouraging best practices.

The Artificial Intelligence Office is seeking a Senior Data Scientist to lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem. You will design and optimize conversational flows, collaborate with stakeholders, and mentor junior data scientists, ensuring scalability, security, and integration with client documentation systems in an Agile environment.

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.

Mercor is seeking a highly skilled Research and STEM Expert to join our AI evaluation and technical quality assurance team. In this role, you will analyze, evaluate, and fact-check AI-generated outputs across scientific, mathematical, and technical domains — ensuring the highest standards of factual accuracy, logical reasoning, and clarity.

This role sits at the intersection of science, technology, and client delivery, translating complex analytical workflows into intelligent, scalable software solutions. You will collaborate with cross-functional teams to design, build, and optimize AI-enabled tools for meta-analysis. The ideal candidate will bring strong scientific understanding, product-thinking mindset, and experience implementing cloud-based AI infrastructure.

Play a pivotal role in optimizing and refining the interaction between AI systems and their users, crafting and testing precise, clear, and effective prompts that guide AI models, such as ChatGPT, to deliver high-quality, relevant responses in line with business objectives to be at the forefront of a new field in AI and to work directly with large language models (LLMs).

Play a critical role in the foundation model development process, focusing on consolidating, gathering, and generating high-quality text data for pretraining, midtraining, SFT, and preference optimization. Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data. Watch out for the release of public dataset on huggingface and other platforms.

Play a hands-on role in shaping the next generation of Liquid Foundation Models (LFMs). Your work will involve data curation, cleaning, augmentation, and synthetic data generation. You will also analyze model failure modes to identify and close data gaps, design and implement pipelines for generating and validating training datasets, and fine-tune models.

As a Machine Learning Data Scientist on Extend’s Risk & Fraud Machine Learning Team, you will develop and deploy cutting-edge machine learning models to detect and prevent fraud, enhance decision-making, and drive business value. You’ll work closely with product, engineering, and operations teams to build scalable, production-ready machine learning applications that support Extend’s post-purchase products.