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Full-time
Posted 26d ago
Apply by Jul 17
~40 hrs/week
Responsibilities
The role involves building and improving UI components for internal AI data collection tools and optimizing production workflows. Additionally, the specialist will develop analytical dashboards in Power BI and write Python scripts for pipeline automation.
Requirements
Candidates need hands-on experience with internal tooling, Python scripting, and Azure cloud environments. Familiarity with AI training data, LLMs, and data visualization tools like Power BI is required.
Full job description
Job Purpose
About the Role
We're looking for a mid-level technical specialist to join a team that supports AI data collection and annotation projects. The role sits at the intersection of engineering, automation, and analytics — the person will help production teams build and improve UI within our internal annotation and data collection tooling, design and optimize workflows, create reports and dashboards, and develop solutions to operational challenges.
About Train AI Data Services
Training or fine-tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do – our clients need responsible AI data that’s targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of AI project time, leaving AI teams with precious little time to focus on developing, deploying and evaluating ML models. TrainAI by RWS helps our clients address this challenge head-on.
With a seamless blend of technological understanding and human intelligence, TrainAI provides complete, end-to-end data collection and content generation, data annotation or labelling, human-in-the-loop data validation and generative AI data services for all types of AI, in any language, at any scale, based on the principles of responsible AI. Today, TrainAI supports four of the world’s top five technology companies, enhancing the performance of their generative AI applications by providing services such as prompt engineering, response refinement and red teaming with locale-specific domain experts across a broad range of topic areas and educational levels. Visit rws.com/trainai to learn more.
Job Overview
Key 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 to support 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 closely with cross-functional production teams to identify operational pain points and deliver practical, scalable solutions.
Interpret high-level, ambiguous business requests and convert them into structured technical deliverables without fully detailed specifications.
Continuously iterate on existing tools and processes to enhance stability, usability, and team productivity.
Skills & Experience
Hands-on experience building or improving internal tooling, UI interfaces, or operational workflows.
Basic to intermediate Python scripting and data processing capabilities.
Familiarity with Azure cloud environments and Azure DevOps (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).
Previous experience in data annotation, data collection pipelines, or AI training data operations is a strong plus.
Excellent cross-functional communication skills; able to bridge technical and non-technical stakeholders.
Life at RWS
Life at RWS - If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood, then you’ll love life at RWS.
Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career.
In return, we expect all our people to live by the values that unite us: to partner, putting clients fist and winning together, to pioneer, innovating fearlessly and leading with vision and courage, to progress, aiming high and growing through actions and to deliver, owning the outcome and building trust with our colleagues and clients.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
RWS Values
Get the 3Ps right – Partner, Pioneer, Progress – and we´ll Deliver together as RWS.
Recruitment Agencies: RWS Holdings PLC does not accept agency resumes. Please do not forward any unsolicited resumes to any RWS employees. Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void.
Related keywords
AI Data EngineerPythonAzureAzure DevOpsPower BICI/CDLLMPrompt EngineeringData AnnotationData CollectionGenerative AIMachine LearningUI DesignWorkflow OptimizationCursorResponsible AI
Welcome to RWS!
We are a global AI solutions company empowering the world’s most trusted enterprise AI. Our proprietary Cultural Intelligence Layer, powered by 250,000 data specialists, cultural and language experts and deep domain professionals, backed by 45+ patents, makes enterprise AI culturally fluent, contextually accurate and secure, ensuring every interaction reflects a brand’s tone, context and customer values.
Trusted by 80+ of the world’s top 100 brands, we provide the confidence, governance and expertise organizations need to deploy AI safely, responsibly and at scale.
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