Top Remote Jobs

Leads QA strategy and test architecture for Kubernetes, cloud-native, distributed, and multi-cloud systems. Designs scalable automation, production-like test scenarios, chaos and performance testing, CI/CD quality gates, and infrastructure-as-code. Provides technical leadership through risk analysis, release readiness assessments, incident retrospectives, architecture reviews, and mentorship. Requires deep Kubernetes, Linux, cloud, automation, observability, security, and troubleshooting expertise.

Develops healthcare applications using engineered plastics and elastomers, translating customer needs into material, part design, tooling, processing, testing, and validation solutions. Supports projects from concept through launch, evaluates designs with CAE tools, troubleshoots processing and quality issues, creates technical documentation and training, and collaborates with commercial, product, manufacturing, technology, and quality teams. Requires up to 60% North American travel.

Lead the architecture, development, deployment, and adoption of production AI/ML systems within client environments. Build scalable ML platforms, agentic systems, RAG pipelines, and integrations; resolve complex enterprise deployment challenges; and establish standards for reliability, security, cost, and responsible AI. Partner with technical and business stakeholders, support client enablement, lead design reviews, and mentor engineers while delivering solutions from research through production.

Leads the architecture, development, optimization, and production delivery of complex AI/ML and agentic systems. Builds scalable ML platforms, pipelines, and infrastructure; establishes engineering standards; drives AI strategy; and mentors engineers. The role requires expertise in generative AI, AWS, RAG, evaluation and observability, AI safety, API integration, cost optimization, Docker, Kubernetes, and AI coding tools.

Leads architecture and delivery of production-grade AI, multi-agent, cloud, data, and ML systems. Defines AWS-centered technical strategy, builds agentic platforms, designs data pipelines and MLOps infrastructure, and establishes DevOps, security, governance, observability, and cost standards. Serves as the senior technical authority for clients and cross-functional teams, mentors engineers, evaluates emerging technologies, and drives complex solutions from research through production.

Designs, builds, deploys, evaluates, and optimizes production AI systems, including RAG pipelines, agentic workflows, and model integrations. Uses Python and cloud platforms to deliver scalable solutions, establishes quality and monitoring frameworks, addresses responsible AI and security concerns, and manages cost-performance tradeoffs. Serves as a senior technical client advisor, supports discovery and presales, mentors engineers, researches emerging AI technologies, and develops reusable accelerators.

Leads daily operations for a West Region field team of 12–18 data specialists. Responsibilities include approving timesheets, conducting one-on-ones and performance reviews, monitoring quality and productivity metrics, preparing operational reports, maintaining compliance documentation, coordinating with logistics, CAD, QA, HR, and finance, and supporting field employees. The role is primarily remote with up to 20% travel and focuses on team performance, morale, project timeliness, and operational quality.

Build and maintain consumer iOS and Android applications serving millions of users. Responsibilities include mobile architecture, dependency injection, reactive and functional programming, modern UI development, test-driven development, code delivery and maintenance, and cross-functional collaboration. The role involves pair and mob programming, agile product development, learning backend technologies, using AI coding tools, and contributing across the full software development lifecycle in a global remote team.

Processes and investigates property insurance claims, verifies coverage and damages, adjusts reserves, recommends settlements, manages claim transactions, supervises independent adjusters, communicates with policyholders, and ensures regulatory and company-policy compliance.

Reviews and manages complex commercial property claims, including claims over $500,000, from assignment through resolution. Evaluates coverage, verifies documentation, adjusts reserves, authorizes payments, negotiates settlements, oversees independent adjusters, identifies fraud indicators, and ensures compliance with insurance regulations and company procedures. Collaborates with legal counsel on litigated claims and promotes fair, accurate, and timely claim settlements.

Build, deploy, secure, and operate full-stack enterprise applications with AI-enabled capabilities. Partner with business stakeholders to translate needs into production software, including LLM applications, retrieval-augmented generation, AI agents, integrations, and automation. Own applications throughout their lifecycle, including architecture, testing, CI/CD, monitoring, incident response, vulnerability remediation, modernization, and retirement. Collaborate with security, architecture, data, infrastructure, and product teams while establishing responsible AI controls and mentoring engineers.

Designs, builds, deploys, secures, and operates full-stack enterprise applications with AI-enabled capabilities. Partners directly with stakeholders to translate business problems into production software, prototypes, APIs, integrations, and intuitive user experiences. Develops LLM, RAG, agentic, and automation solutions with testing, evaluation, guardrails, observability, and security controls. Owns application lifecycles, including monitoring, incident response, vulnerability remediation, modernization, documentation, and continuous improvement. Requires strong full-stack, cloud, DevOps, application security, and AI engineering experience.

Evaluate and improve the safety, security, and robustness of large language models. Responsibilities include designing jailbreak, prompt injection, adversarial, and tool-use abuse tests; developing regression suites and evaluation frameworks; identifying vulnerabilities; translating findings into safety recommendations; and documenting methodologies and results for technical and non-technical stakeholders.

Red team conversational AI models and agents by probing jailbreaks, prompt injections, misuse cases, bias, and multi-turn manipulation. Annotate failures, classify vulnerabilities, apply testing frameworks and benchmarks, and produce reproducible reports, datasets, and attack cases. The role requires native English and Finnish fluency, prior AI or cybersecurity red teaming experience, strong communication, structured analysis, and adaptability across projects.

Analyze complex business problems, conduct market and competitive research, evaluate business performance, identify growth opportunities, and develop data-driven strategic recommendations. The role supports operational improvements, business transformation, and implementation initiatives through structured frameworks, financial analysis, presentations, reports, and executive-level communication. Candidates need 1–7 years of consulting experience, strong analytical abilities, excellent communication skills, and a degree from a top-ranked university.

Owns delivery of a technically rigorous reference scenario for hypothetical sunlight-reflection deployment. Defines scope, dependencies, workplans, audiences, and deliverables; ensures consistency across aerospace, monitoring, data assimilation, control, supply-chain, and cost workstreams; performs cross-domain analysis; manages external technical contracts and collaborations; coordinates reviews and public release; and connects scenario assumptions to experiment feasibility research.