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

Research data strategies for large language model development, including designing data slices to identify model failure modes, modeling annotator behavior, and optimizing instruction clarity and reward-signal reliability. Develop metrics and evaluation frameworks to assess dataset quality, diversity, alignment impact, and downstream model performance. Collaborate with AI research teams and test data-centric methodologies in production environments.

Design and train LLMs and agentic systems for cybersecurity using RLHF/RLAIF and supervised fine-tuning. Build agent architectures, tooling, retrieval/memory, and evaluation pipelines with rigorous statistical benchmarking. Optimize prompts and inference, collaborate with engineers to productionize prototypes, and drive research on agent planning, safety, and reliability.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Conduct site selection, initiation, monitoring, and close-out visits for clinical trials. Ensure compliance with ICH-GCP and regulations, maintain CTMS and eTMF documentation, monitor patient safety and drug accountability, support recruitment and retention, resolve data queries, track site progress and payments, and escalate risks while collaborating with clinical teams.

Lead and scale CRIO's Sponsor Operations for enterprise sponsor programs, ensuring consistent delivery, operational standards, cross-functional alignment, and client satisfaction. Oversee portfolios, define KPIs, optimize processes and tooling, manage escalations, and develop a high-performing team while partnering with Product, Engineering, and Data to drive platform and reporting improvements.

Oversees clinical trial site quality, compliance, data integrity, monitoring, and performance across all trial phases. Conducts qualification, initiation, routine monitoring, and close-out visits; evaluates risks, supports corrective actions, manages study drug oversight, prepares reports, and collaborates with sites, vendors, investigators, and internal teams. The role requires proficiency with clinical systems, ICH GCP, regulatory requirements, risk-based monitoring, and frequent travel across the Ohio region.

Research Scientist responsible for RL-based post-training of large-scale video generation models. The role includes preference optimization, online RL, video reward model development, human and automated evaluation, reward-hacking safeguards, and secondary distillation of aligned models. Candidates need experience with generative modeling or post-training, reinforcement learning, diffusion or flow-matching models, PyTorch, and distributed training. Preferred experience includes visual-generation reward models, VLM-based judging, preference data collection, and video-specific temporal and physics failure modes.

Conduct open-ended AI research focused on end-to-end training workflows using LanceDB. Design replicable experiments and benchmarks, demonstrate workflows across AI domains, develop content, publish research and models, and collaborate with engineering and product teams. The role requires deep learning expertise, experience training state-of-the-art models, open-source software development, strong prioritization, product awareness, and staying current with AI research.

Build and scale production AI systems for Prophetic’s real estate intelligence platform. Responsibilities include developing agentic systems, data pipelines, inference workflows, evaluation benchmarks, geospatial processing, and machine learning applications across hundreds of millions of records. The role requires shipping reliable Python services, optimizing throughput and cost, integrating research into products, and collaborating with engineering and product teams.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.

Participate in an in-home study by installing two video-only devices for 7–10 days, share at least 120 hours of footage per device, review and delete clips on a provided laptop, and provide consent for yourself and other adult household members. Devices are delivered and picked up at your home; must live in the Boston area and be comfortable using a computer and communicating in English.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

Monitor clinical studies at investigative sites or remotely, ensuring protocol, ICH-GCP, SOP, and regulatory compliance. Responsibilities include site monitoring visits, source data verification, medical record and adverse event review, site staff support, monitoring report authoring, trial material development, SOP contributions, and eTMF documentation. The role requires CRA experience, preferably in oncology, hematology, or cell and gene therapy, plus proficiency with clinical trial systems and regulatory requirements.

Lead foundational and strategic mixed-methods UX research to shape product vision, strategy, and innovation. Conduct qualitative and quantitative studies, including interviews, ethnography, surveys, log analysis, segmentation, and concept testing. Translate ambiguous questions into actionable frameworks, present insights to executives, mentor designers and product partners, and establish scalable research practices across the organization.

Leads quantitative and qualitative research, evaluation, and data analysis initiatives supporting California Community College student success, equity, and policy goals. Responsibilities include analyzing complex datasets with Stata, SQL, R, or Atlas.ti; managing projects through planning, implementation, and reporting; producing research reports, policy briefs, presentations, dashboards, and visualizations; translating findings into recommendations; advising stakeholders; and representing the organization at meetings and conferences.

Supports higher education student success and equity initiatives through project planning, policy research, data analysis, stakeholder engagement, and development of policy briefs, reports, presentations, and communications. Conducts qualitative and quantitative research, synthesizes findings, manages deliverables and competing deadlines, and collaborates with education, government, nonprofit, and system partners. Monitors policy developments and participates in relevant meetings and hearings. The position is fully remote within California with some travel.

Conducts oncology clinical trial site monitoring, including routine, initiation, and close-out visits; verifies informed consent, protocol compliance, patient safety, and data integrity; manages study files, registries, vendors, and serious adverse event reporting; performs CRF review and query resolution; supports feasibility activities, employee training, and local project coordination. Requires frequent overnight travel across Southern California and occasional domestic or international travel.

Supports executive search assignments through candidate and organization research, data analysis, candidate assessment, compensation research, database management, and industry monitoring. Develops research strategies, identifies priority candidates, manages research project progress, documents findings, and communicates insights to consultants and business partners. Also contributes to knowledge management, process improvement, business development research, and administrative coordination.

Develop signal processing algorithms for camera, LiDAR, radar, and other autonomous-driving sensor data. Design acquisition, fusion, filtering, and learning-based methods; optimize them for CPU, GPU, DSP, and specialized accelerators; and collaborate with autonomy and hardware teams to deliver reliable, low-latency production systems. The role also supports experimental validation and potential research publications.

Develops and maintains budgets for sponsored clinical trials, including cost analysis, payment milestones, billing instructions, coverage determinations, and patient cost information. Reviews protocols and study documents, updates budgets for amendments, monitors expenses and payments, supports billing audits, and collaborates with contracts, regulatory, finance, clinical, and research teams. Uses Excel and Velos to manage high-volume workflows across multiple research programs.

Develop and lead implementation of mathematical optimization models for supply chain applications. Investigate heuristics and optimization techniques, translate real-world problems into software, and design comprehensive testing strategies. Build robust C++ software, automated functional, regression, and performance tests, and collaborate with agile teams. Apply AI and other tools to accelerate development while maintaining architectural consistency, security, and code quality. Review AI-generated code for correctness, integration risks, and edge cases.

Leads Mercury’s cross-line AI/ML research capability across insurance products. Responsibilities include setting strategy, building a research tooling team, modernizing workflows, developing model monitoring and AI infrastructure, establishing responsible AI guardrails, partnering across technology and data science teams, driving adoption, and coaching talent. The role requires strong quantitative, insurance analytics, Python, machine learning, generative AI, and LLM evaluation expertise, along with substantial people and cross-functional leadership experience.

Own the design vision and execution for experimental AI-powered learning tools co-created with teachers and researchers. Design teacher- and student-facing products, create flows, wireframes, interaction designs, and functional prototypes, and facilitate collaboration across educators, researchers, engineers, and data scientists. Conduct usability testing and validate research hypotheses while navigating ambiguity, data-heavy workflows, and uncertain AI/ML-enabled features.

Develop new business and expand partnerships with higher education institutions by prospecting, presenting consultative solutions, managing sales pipelines, negotiating contracts, and meeting revenue goals. The role builds executive relationships, diagnoses institutional challenges, maps needs to EAB services, collaborates with sales and delivery teams, monitors competitors, and coaches a Sales Associate. Travel of 25–50% is required.