AI Data Engineer
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Job Description
AI Data Engineer improving internal annotation tools, dashboards, and workflows. Supporting RWS’s AI data collection, labeling, and validation services with Python and Azure.
Responsibilities:
- Build, update, and improve UI components for internal annotation and data collection tools used by AI production teams
- Design, optimize, and standardize end-to-end production workflows to improve operational efficiency
- Develop, maintain, and update analytical reports and interactive dashboards using Power BI
- Write Python scripts for data processing, pipeline automation, and internal tooling improvements
- Deploy and manage tooling updates using Azure cloud infrastructure and Azure DevOps, including CI/CD workflows
- Partner with cross-functional production teams to identify operational pain points and deliver practical, scalable solutions
- Convert high-level, ambiguous business requests into structured technical deliverables
- Continuously improve existing tools and processes for stability, usability, and team productivity
Requirements:
- Mid-level technical specialist
- 1 year of basic to intermediate Python scripting and data processing experience
- Conversational English
- Familiarity with Azure cloud environments
- Familiarity with Azure DevOps, including CI/CD and deployment
- Experience creating business reports and dashboards; Power BI preferred
- Basic understanding of AI, LLMs, prompt engineering, or AI training data workflows
- Exposure to AI-assisted coding tools; Cursor preferred
- Hands-on experience building or improving internal tooling, UI interfaces, or operational workflows
- Previous experience in data annotation, data collection pipelines, or AI training data operations is a strong plus
- Excellent cross-functional communication skills
- Ability to bridge technical and non-technical stakeholders
Benefits:
- Equal employment opportunity and non-discrimination commitment
- Inclusive work environment
- Opportunities for individual growth and career development
- Collaboration with smart people passionate about ideas, data, and content
- RWS values-driven workplace emphasizing partnership, innovation, progress, and delivery
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