Remote Jobs for Reseachers, Research Engineers, Research Scientists, & Research Analysts

Participate in testing and providing feedback on a smart glasses prototype aimed at improving accessibility for people with hearing loss.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

Design, build, and operate large-scale RL post-training systems for multimodal foundation models: distributed training, high-throughput rollout generation, environment and reward infrastructure, evaluation and debugging tooling, and efficiency/stability improvements. Collaborate with researchers to productionize RL methods and run stable RL training across thousands of GPUs.

The Research Engineer will develop machine learning methods for forecasting glacier ice flow and assess its impact on sea level rise, utilizing high-performance computing and remote sensing data in collaboration with interdisciplinary teams.

The Account Manager will drive sales and renewals, manage customer relationships, and support customers with diverse needs while achieving bookings and conducting market evaluations.

Design and implement a virtual access layer to enable remote use of a physical AI lab, building scalable, secure infrastructure to process 100,000+ documents/day with LLMs, optimize GPU/LLM throughput, provide customizable interfaces, implement authentication/access controls, and lead projects from design to production.

Manage full-charge client billing for a professional services/legal firm: review contracts and set up matters, generate and process invoices (routine and complex), perform WIP analysis and tracking, report on assignments, and support/train other billing staff while ensuring accuracy, contract compliance, and timely client service.

Design, develop, test, deploy, maintain, and enhance software solutions. Manage priorities and deliverables, participate in design reviews, perform code reviews, triage and debug issues, contribute documentation, and collaborate in cross-functional agile teams to build scalable web applications.

Lead product strategy and execution for AI-driven expert research: translate investor needs into AI workflows, define roadmap, run user research and experiments, collaborate with engineering/design, and drive launches while optimizing accuracy and reliability of LLM/ML outputs.

Lead sales growth across Europe by acquiring new clients and expanding existing accounts for syndicated research subscriptions, custom research and consulting. Manage inbound leads, map client needs to ABI Research solutions, collaborate with analysts and US support teams, attend industry events, and work closely with the VP of Sales to execute strategy.

Design new information architectures for language models, refine their interaction with data, and develop evaluation sets to improve functionality.

Monitor and manage clinical trial sites including qualification, initiation, monitoring, and close-out visits; ensure protocol compliance, data integrity, and patient safety; perform data review and query resolution; collaborate with investigators and site staff; contribute to study documentation and clinical study reports.

Lead clinical trial monitoring activities to ensure protocol and regulatory compliance, conduct site visits, resolve issues, support data integrity, train site staff and CRAs, collaborate cross-functionally, and maintain strong site relationships to drive successful trial execution.

Executive leader responsible for driving growth of Spire Outsourcing's financial planning business: strategy, business development, client relationships, team leadership, operations scalability, and industry representation. Ensures delivery of high-quality financial planning services and meets revenue targets.

Coordinate multiple clinical research projects for transplant PIs: collect and document patient data per protocol, perform patient assessments and phlebotomy, oversee source documentation and QA, train and mentor research staff, support enrollment and study initiation, assist with budgets and specimen handling, and ensure regulatory compliance.

Manage a portfolio of academic accounts to drive revenue for AI-powered research intelligence products. Use consultative selling to build relationships with libraries and research offices, develop account strategies, forecast pipeline in CRM tools, gather market insights, and represent Elsevier at conferences to generate pipeline and expand long-term partnerships.

Lead long-horizon R&D to define future decision intelligence: explore reasoning architectures, prototype and formalize system primitives, evaluate new signal classes, and translate research into reusable components aligned to strategic product direction.

Build and maintain experimental decision-system prototypes, evaluation tooling, simulation environments, and research infrastructure to enable rapid iteration and validation of research concepts in real-world constraints.

Apply formal decision theory and structured reasoning to enterprise problems: design decision frameworks, model uncertainty and tradeoffs, test decision architectures, run experiments, and translate research into system-ready primitives collaborating with engineering and product teams.

Lead end-to-end technical programs for AI safety research and infrastructure: scope plans, prioritize across teams, build compute/resource roadmaps, enable technology transfer, and coordinate internal stakeholders to accelerate research delivery.

Lead and execute independent research programs on NLP and LLM safety, design and run experiments, secure funding, publish and present results, lead cross-functional teams, and develop evaluation tools and challenges to advance digital safety.

Manage end-to-end technical project lifecycles for Digital Safety: define scope, plans, budgets, and risks; coordinate cross-functional teams and external partners; run status meetings, change control, compliance, stakeholder communication, and lessons-learned; deliver projects on time and within budget.

Lead go-to-market strategy and commercial execution for a new AI-native Market Research service. Build positioning, pricing, and metrics; generate pipeline and close deals; partner with Sales, Marketing, Product, and Research; represent Maze publicly; and help scale the service and team while feeding market insights back into product and offering design.

Lead research defining fabric's AI shopping roadmap: design and run quantitative studies, build models and benchmarks for AI search (AEO/GEO), run experiments, translate findings into customer-facing insights, and publish research to influence product and go-to-market strategy.

Lead consultative sales with academic institutions to deploy AI-powered research intelligence and data licensing solutions. Manage strategic accounts across a multi-state territory, build relationships with libraries and research leadership, develop account strategies, forecast using CRM tools, represent Elsevier at conferences, and deliver revenue growth and long-term institutional value.