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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Review completed language annotation tasks to ensure AI-generated transcripts meet project guidelines for accuracy and readability. Identify and correct issues related to formatting, punctuation, capitalization, and text normalization.
You will contribute to the design and development of LLM-powered pipelines for agentic trading and automated workflow execution. Additionally, you will build and evaluate prompt engineering strategies and analyze agent performance in live trading scenarios.
Develop and evolve the UI for a complex AI IDE by building interactive components and workflows. Collaborate with backend and AI engineers to integrate interfaces with underlying systems while ensuring high performance and visual polish.
You will own the end-to-end machine learning lifecycle, from research and model development to deployment and scaling in production environments. You will work directly with product teams to design algorithms for visibility, demand forecasting, and freight audit while ensuring system reliability and performance.
The Lead Engineer will design and implement scalable, customer-facing solutions on the Salesforce Force.com platform while participating in the full software development life cycle. They will collaborate with product management to gather requirements, develop custom features, and ensure high-quality code through testing and documentation.
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Develop and maintain new user-facing features for the SaaS platform while building reusable and modular React components. Collaborate with UX/UI designers to ensure responsive, visually appealing interfaces that meet business requirements.
The Lead Engineer will take technical ownership of complex products and systems, designing scalable solutions while remaining hands-on with coding and implementation. They will also mentor team members, drive engineering initiatives from idea to production, and ensure high standards for system reliability and performance.
The Lead Engineer will take technical ownership of complex products, designing scalable systems and driving initiatives from concept to production. This role involves hands-on coding, mentoring team members, and making critical architectural decisions to ensure high-quality engineering standards.
The Lead Engineer will take technical ownership of complex products, designing scalable systems while remaining hands-on with coding and architecture. They will also mentor team members, drive engineering initiatives, and ensure high standards for code quality and production reliability.
The Lead Engineer will take technical ownership of complex products, designing scalable systems and driving initiatives from conception to production. They will also mentor other engineers, perform code reviews, and ensure high standards for system reliability and performance.
You will drive the digital transformation of enterprise customers by providing expert technical thought leadership and guidance. You are responsible for the end-to-end technical sales process, including delivering high-impact sales pitches and technical demonstrations.
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.
The intern will focus on data integrations, quality assurance, and identifying anomalies within the transportation visibility platform. They will also support the data team with customer queries, dashboard maintenance, and the automation of data pipelines.
You will own the end-to-end data quality, including documentation, reporting, and root-cause analysis of prediction issues. You will also build scalable automation workflows using Python and SQL to improve system performance and support cross-functional teams.
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.
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Drive CEO-level priorities from problem definition to execution across product, hiring, and market expansion. Manage daily operating rhythms, track OKRs, and identify execution gaps to ensure cross-functional alignment.
The analyst will review, annotate, and evaluate AI-generated content across various media formats to ensure quality and accuracy. They will also contribute to the development of high-quality datasets and provide feedback to improve annotation workflows.
Review, evaluate, and annotate AI-generated content across various media formats to ensure accuracy and compliance. Participate in quality alignment activities and provide feedback to improve annotation workflows and guidelines.
The Plant Administrator manages the employee lifecycle, including recruitment, onboarding, and offboarding, while ensuring compliance with company policies and EHS standards. They also support daily operations by maintaining employee databases, organizing engagement activities, and resolving employee concerns.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
You will be responsible for all aspects of data collection to support model training operations and operate cloud infrastructure for the ingestion pipeline. You will also collaborate with scientists and leadership to develop the dataset roadmap for next-generation products.
Lead the design, architecture, and development of native Windows desktop applications using C# and WinUI. Collaborate with cross-functional teams to drive accessibility efforts and ensure high-quality, scalable software releases.
Collaborate with product teams to design and deliver cross-platform SDKs and foundational services. Optimize system performance by implementing efficient algorithms and lightweight backend services.
The Senior iOS Engineer will lead key engineering and product decisions while actively shipping production code for the Speechify iOS app. They will participate in product roadmap discussions and maintain the complex architecture of the application.
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Review, evaluate, and annotate AI-generated content across various media formats to ensure accuracy and quality. Identify inconsistencies and provide feedback to improve annotation guidelines and AI model training datasets.
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 also provide hands-on cloud engineering support, including cost optimization, architecture deep dives, and technical validation for Thai customers.
Contributors will annotate or label text, images, and audio to train AI systems while evaluating the quality and relevance of search results and chatbot responses. They will also create and test prompts to improve large language models and ensure content accuracy.
Participants will use a Google Pixel device to interact with mobile applications and sort notifications daily. They are also required to submit short daily feedback forms throughout the project duration.
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