Fluent Kannada Speakers - AI Training - Ballari
Evaluate AI-generated text and voice snippets to ensure naturalness and authenticity in the Kannada language. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
Remote Software Development Jobs in Greece
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Evaluate AI-generated text and voice snippets to ensure naturalness and authenticity in the Kannada language. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
Evaluate AI-generated text and voice snippets to ensure naturalness and authenticity in the Kannada language. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
Evaluate AI-generated text and voice snippets to ensure natural and authentic Kannada speech. Provide feedback on tone, pronunciation, and cultural context to improve AI model accuracy.
Design and build scalable systems, tooling, and data processing pipelines to improve AI delivery and evaluation. Lead the end-to-end execution of data collection projects for frontier AI labs to improve advanced models.
The role involves owning end-to-end coding data projects to teach frontier AI models how to code. This includes designing agentic training workflows, evaluation rubrics, and technical environments that mirror real-world software engineering.
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Design and architect end-to-end systems for collecting, structuring, and delivering human data to train frontier AI models. Collaborate with engineering and product teams to optimize data pipelines and ensure high-quality training signals for SFT and RL.
Lead end-to-end red-teaming workstreams against frontier models by scoping threat models and designing adversarial campaigns. Establish a recurring red-team cadence and produce executive reports to distill severity and user harm.
Own end-to-end coding data projects to train frontier AI models, designing agentic workflows and evaluation schemes. Collaborate with clients and internal teams to build technical environments and rubrics that reflect real-world software engineering.
Design and govern simulated environments and modular frameworks for RL agents to learn and be stress-tested. Establish quality standards for data, reward structures, and telemetry to ensure stable and scalable training signals.
Lead the direction and execution of critical products supporting advanced AI training and RLHF processes. Develop innovative solutions for annotation efficiency, data exploration interfaces, and large-scale data processing systems.
Design and build core fullstack systems and backend architecture to power the Surge platform. Create scalable tools for data collection, labeling, and evaluation used by leading AI labs.
Lead the design, implementation, and delivery of scalable software solutions and complex engineering initiatives. Partner with Architecture, Product, and DevOps teams to ensure operational excellence and high-performing system architecture.
Configure, customize, and maintain WordPress websites, including themes, plugins, and front-end layouts. Collaborate with teams to translate business requirements into secure, scalable, and high-performance technical solutions.
Lead the security execution of an autonomous AI agent platform by validating security posture throughout the development lifecycle. Identify vulnerabilities and define security controls specifically for AI risks like prompt injection and tool misuse.
Lead the design and development of major software components and features for a field service automation platform. Focus on improving overall product quality, scalability, and maintaining the backend infrastructure.
The developer is responsible for designing data models, building dashboards, and managing data warehousing solutions. They will execute ETL processes and collaborate with cross-functional teams to implement data-driven business solutions.
Provide advanced L3 technical support and engineering for the Domino Data Lab platform to ensure stability and performance for AI/ML workloads. Manage platform operations, including upgrades, monitoring, and troubleshooting complex production incidents within a regulated environment.
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Design and develop interactive dashboards and reports while optimizing ETL pipelines and data models. Collaborate with stakeholders to translate business requirements into technical BI solutions and ensure data quality.
Develop interactive e-learning modules using Articulate Storyline 360 based on provided storyboards. Collaborate with learning designers and project managers to ensure high-quality, LMS-ready content that works across all devices.
Design, develop, and maintain scalable web applications and RESTful APIs using React and Node.js. Leverage AI-assisted tools like Claude to accelerate development and optimize PostgreSQL database schemas.
Design and implement chatbot and voicebot solutions to automate business processes. This includes gathering requirements, configuring AI platforms, and managing NLP models and API integrations.
Design, develop, and deploy scalable data pipelines and ETL/ELT processes using the Dataiku DSS platform. Support a large-scale enterprise data lakehouse migration while collaborating with international business and technical stakeholders.
Design, build, and optimize the HubSpot ecosystem to automate processes across Sales, Onboarding, and Client Success. Develop custom integrations and maintain CRM data integrity to support scalable business growth.
Provide L3 engineering support for Palantir Foundry and Foundation environments, focusing on resolving complex technical issues and software defects. Maintain production pipelines, platform workflows, and contribute to platform governance and stability.
Design and deploy custom AI chatbots, agents, and automated reports to eliminate administrative tasks for leadership. Architect and maintain a unified knowledge base to ensure data accuracy and support informed business decisions.
Develop and optimize the backend architecture for a multi-brain AI trading algorithm and integrate blockchain technologies for secure operations. Build and maintain APIs, cloud infrastructure, and machine learning workflows to support a high-performance trading platform.
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Assist engineering officers with the operation and maintenance of ship machinery and participate in engine room watchkeeping. Maintain training records and support inventory control while following maritime safety regulations.
The role involves delivering product demonstrations and conducting Proof-of-Concepts to showcase security solutions to clients. It also requires collaborating with sales teams and responding to RFIs and RFPs to align technical capabilities with client needs.
Develop and optimize scalable backend services, APIs, and database systems to power web and mobile applications. Lead the engineering team through code reviews, mentoring junior engineers, and driving technical innovation.
Build and maintain the registration, onboarding, and conversion flows to move visitors to paying members. Own end-to-end integrations for payment platforms, financial account aggregation, and lifecycle messaging.
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The typical salary for remote software developers in Greece is €93,000 per year. This is based on data from 21 job openings that list pay in EUR. Below is a breakdown of salary data by years of experience:
| Experience | Salaries counted | Typical salary |
|---|---|---|
| Junior2–5 years | 3 | €85,000 |
| Senior5–10 years | 17 | €93,000 |
We reviewed 58 job postings for remote software developers in Greece and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| Python | 33% |
| Kubernetes | 28% |
| Distributed systems | 24% |
| CI/CD | 22% |
| Observability | 21% |
| Go | 21% |
| Software engineering | 19% |
| GCP | 17% |
| Machine learning | 17% |
| TypeScript | 16% |
Learn more about Software Development remote jobs