Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Lead and support a software development team by providing technical guidance and ensuring alignment with architectural standards. Contribute hands-on to the design, development, and maintenance of cloud-based and legacy enterprise applications.
Develop and ship AI-driven sales enablement products, including LLM orchestration, RAG pipelines, and real-time voice features. Design and implement agentic workflows while integrating with CRM systems and enterprise data sources.
The Director will provide strategic and operational leadership for the Global Institute's AI and EdTech portfolio, including the AI Literacy & Creator Collective and the Better Future Hub. They will drive vision, manage partnerships, oversee team capacity, and represent the organization's agenda to global stakeholders.
Design, develop, and maintain robust backend APIs including public TTS, payment, and subscription services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for future products.
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Lead the design, architecture, and development of native Windows desktop applications using C#, XAML, and Windows App SDK. Collaborate with cross-functional teams to drive accessibility efforts and ensure high-quality, performant, and maintainable software releases.
Collaborate with product teams to scope projects and deliver solutions via cross-platform SDKs. Optimize existing functionality by designing efficient abstractions and improving algorithms.
The Senior iOS Engineer will lead key engineering and product decisions while actively shipping production code for the Speechify iOS app. They will also participate in product roadmap discussions and maintain the existing complex app architecture.
The Application Engineer interprets project specifications to develop technical solutions and assists the sales team with UPS system proposals and bid packages. They serve as the primary technical liaison between customers and internal stakeholders while managing project cost estimates, pricing schedules, and milestone billing plans.
The Data Engineer will collect, process, and clean data while designing ETL pipelines and automation workflows to support business decisions. They will also conduct in-depth data analysis, build predictive models, and develop visualizations using BI tools to provide actionable insights to clients.
The specialist will be responsible for implementing and configuring Google Analytics 4, managing data collection strategies, and performing deep-dive analysis. They will also provide technical analytics support, create dashboards, and train clients on data utilization.
The Chief Learning Officer will lead a global AI learning agenda and cultivate strategic partnerships with major technology organizations to advance educational transformation. They will also manage a cross-functional AI Circle to foster collaboration and ensure ethical AI adoption across the global network.
The engineer will design, deploy, and maintain secure data and AI platforms while managing CI/CD pipelines and infrastructure as code. They will also enforce security governance and optimize cloud performance across the organization.
The developer will maintain, modernize, and enhance an existing enterprise iOS application within the automotive sector. Responsibilities include developing new features, integrating backend services, and ensuring application stability and security.
Drive CEO-level priorities from problem definition to execution across product, hiring, and market launch. Manage OKRs, strategic projects, and cross-functional operations to ensure organizational alignment and efficiency.
The Senior Data Architect leads the design and governance of enterprise data platforms, including lakehouse solutions and complex data models. This role collaborates with engineering and business teams to implement scalable, secure data products that support analytics and decision-making.
Design and develop scalable Spark-based ETL/ELT pipelines and enterprise data products using Medallion Architecture. Collaborate with cross-functional teams to implement data governance, quality validations, and optimized Lakehouse solutions.
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The Senior Manager will lead the operational excellence, production reliability, and support of enterprise data and AI platforms. This role involves managing incident response, release coordination, platform monitoring, and driving continuous service improvements across the data ecosystem.
Review, evaluate, and annotate AI-generated content across various media formats to ensure accuracy and quality. Identify inconsistencies and contribute to the development of high-quality datasets for training advanced AI models.
You will be responsible for auditing, evaluating, and annotating AI-generated text, images, audio, and video content. Additionally, you will perform quality checks to ensure accuracy and consistency while providing feedback to improve annotation guidelines.
You will be responsible for reviewing, evaluating, and annotating AI-generated content including text, images, and audio. Additionally, you will perform quality checks to ensure accuracy and provide feedback to improve annotation guidelines.
You will be responsible for auditing, evaluating, and annotating AI-generated text, images, audio, and video content. Additionally, you will perform quality checks to ensure accuracy and consistency while providing feedback to improve annotation guidelines.
The VP of Responsible AI will own the enterprise AI governance strategy, roadmap, and operational model to ensure ethical and compliant AI deployment. They will lead cross-functional teams to implement automated governance controls, manage AI risk frameworks, and oversee vendor relationships for AI platforms.
The Senior Commissioning Engineer leads testing, commissioning, and initial energization activities for utility-scale HV, BESS, and PV projects. This role also provides technical authority, engineering oversight, and direct supervision to the commissioning engineering team.
Design, develop, test, and deploy high-performance, fault-tolerant distributed systems that impact millions of investors. Collaborate with product and business leaders while mentoring fellow engineers to maintain high standards of software craftsmanship.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
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Lead the design, architecture, and development of native Windows desktop applications while enforcing best practices for performance and maintainability. Collaborate with cross-functional teams to drive accessibility efforts and manage the full lifecycle of features from conception to release.
The Lead Director will oversee the modernization roadmap for Specialty Pharmacy, driving operational efficiency and technology strategy. They will lead diverse engineering teams across multiple geographies to deliver high-quality software solutions using Agile methodologies.
The analyst will review, evaluate, and annotate AI-generated content across various media formats to ensure accuracy and compliance. They will also identify inconsistencies and contribute to the development of high-quality datasets for training advanced AI models.
The Solutions Engineer will act as the technical face of DoiT in Thailand, driving product adoption and revenue growth through technical sales plays and partner-led initiatives. They will provide hands-on cloud engineering support, conduct technical validations, and deliver tailored demonstrations to help customers optimize their multi-cloud environments.
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