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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The 3D Animator will lead the creation of high-quality 3D animations, visual storytelling, and motion content across marketing, product, and brand initiatives. They will also collaborate with cross-functional teams to develop visual narratives while mentoring junior artists and defining animation standards.
The 3D Animator will lead the creation of high-quality 3D animations, visual storytelling, and motion content across marketing, product, and brand initiatives. They will manage the end-to-end 3D production pipeline while collaborating with creative teams and mentoring junior artists.
You will architect and implement AI agent solutions by mapping complex business workflows and integrating them with client tech stacks. Additionally, you will serve as the technical lead for customer activations, ensuring high-performance agent deployment and ongoing optimization.
The Sales Engineer will conduct product demonstrations and lead proof-of-value engagements to showcase technical solutions to customers in the LATAM region. They will partner with Account Executives to address technical concerns, gather customer requirements, and drive sales growth through expert product knowledge.
The Senior Customer Architect acts as a trusted technical advisor to drive the adoption, consumption, and expansion of Elastic solutions within customer accounts. They are responsible for defining technical success plans, eliminating technical friction, and aligning Elastic's capabilities with the customer's specific business objectives.
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The Strategic Analytics Manager will transform data into actionable commercial insights to drive revenue growth, optimize performance, and demonstrate ROI. They will partner cross-functionally to build dashboards, enhance data integrity, and implement automation solutions to streamline workflows.
The Engineering Manager will lead and scale the Data and Clinical Integration teams to turn EHR data into actionable insights for health equity. This role involves managing technical roadmaps, fostering team growth, and championing modern AI-assisted engineering practices.
The Chief AI Technology Officer will lead the AI platform strategy and oversee the development of reporting, visualization, and workflow-automation modules. They are responsible for technical hiring, team structure, and ensuring high-velocity delivery of AI-native features.
Design and implement custom HubSpot integrations and UI components using React and HubSpot APIs. Build custom code actions in Node or Python to streamline automation workflows and optimize business processes.
The Field Service Engineer is responsible for installing, maintaining, and troubleshooting Videojet coding and marking equipment at customer facilities. They will act as a trusted advisor to customers while managing their own schedule and territory routes.
The Cost Engineer will develop construction cost estimates, perform quantity takeoffs, and support procurement and bid evaluation activities. They will also assist with project budgeting, financial forecasting, and change management to ensure projects remain within budget and on schedule.
The Senior Substation Estimator will serve as the lead estimating resource, developing detailed construction cost estimates and managing project cost forecasting throughout the project lifecycle. They will also support procurement activities, evaluate contractor proposals, and manage contract change orders for utility infrastructure projects.
The Senior Associate Product Manager supports the strategy, delivery, and operational governance of the firm's enterprise LLM portfolio. This role coordinates execution across global teams while managing platform administration, user enablement, and product roadmaps.
Design, develop, and ship high-quality, scalable platform services for identity and authorization while providing technical leadership and mentorship to engineering teams. Own the health and quality of systems, participate in on-call rotations, and collaborate with cross-functional partners to drive technical roadmaps.
The Senior Data Scientist will lead the end-to-end AI/ML model development lifecycle, from design to deployment, across various business units. They will also provide technical leadership, mentor junior colleagues, and collaborate with cross-functional teams to deliver innovative educational solutions.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support analytics and machine learning initiatives. Collaborate with business stakeholders to implement data quality, governance, and security frameworks across enterprise systems.
You will design and build a reusable on-device inference framework to enable edge machine learning across the company's hardware portfolio. Additionally, you will perform core firmware engineering tasks, including driver development and debugging, while integrating ML models into resource-constrained environments.
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Design, build, and maintain the studio's pipeline and artist-facing tools, including launchers, publishers, and review interfaces. Collaborate directly with artists and supervisors to develop efficient, user-centered tools while managing your own tasks and priorities.
You will interact directly with various AI models to evaluate their capabilities, safety, and helpfulness through structured conversations. Your insights and data will directly inform the development and optimization of next-generation Generative AI.
You will interact directly with various AI models to evaluate their capabilities, safety, and helpfulness through structured conversations. Your insights and data will directly inform the development and optimization of next-generation Generative AI.
You will interact with and evaluate AI models to assess their capabilities, safety, and helpfulness. This involves submitting structured deliverables such as ratings, write-ups, and voice recordings based on specific project goals.
You will interact with and evaluate various AI models to assess their safety, helpfulness, and capabilities. Your feedback and data will directly contribute to the development and optimization of Generative AI technologies.
You will interact with and evaluate various AI models to assess their capabilities, safety, and helpfulness. Your tasks will involve structured conversations, voice-based interactions, and submitting detailed feedback or recordings.
You will interact with and evaluate AI models to assess their safety, helpfulness, and capabilities through structured conversations. Your tasks will include submitting detailed feedback, ratings, and recordings to help improve generative AI performance.
You will interact with and evaluate AI models to assess their capabilities, safety, and helpfulness. Your tasks will involve structured conversations, voice-based interactions, and submitting detailed feedback or recordings.
You will interact with and evaluate AI models to assess their capabilities, safety, and helpfulness through structured conversations. Your insights and data will directly inform the development and optimization of next-generation Generative AI.
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The AI Evaluator will interact with various AI models to assess their capabilities, safety, and helpfulness through structured conversations. They will submit detailed deliverables including write-ups, ratings, and recordings to inform model development.
You will interact with and evaluate AI models to assess their capabilities, safety, and helpfulness through structured conversations. Your insights and data will directly inform the development and optimization of generative AI technologies.
You will interact with and evaluate various AI models to assess their capabilities, safety, and helpfulness. Your tasks will include submitting structured write-ups, ratings, and recordings to inform model development.
You will interact with and evaluate various AI models to assess their capabilities, safety, and helpfulness. Your tasks will involve structured conversations, voice-based interactions, and submitting detailed feedback or recordings.
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