RWS Group

Artificial Intelligence

• Data collection, evaluation, and annotation.
• Pairwise comparisons.
• Counting tasks.
• Object tagging and labeling across different content types (audio, video, images, or collected data)

AI Data Specialist, Gujarati

• Performing diverse data-related tasks, including:
• Data collection, evaluation, and annotation.
• Pairwise comparisons.
• Counting tasks.
• Object tagging and labeling across different content types (audio, video, images, or collected data)

AI Data Specialist, Telugu

• The role involves performing a variety of data-related tasks, including:
• Data collection, assessment, and annotation.
• Pairwise comparisons.
• Counting tasks.
• Object tagging and labeling across different content types (audio, video, images, or other collected data).

AI Data Specialist, German

Program Manager

• Engages with customers as a senior operational leader.
• Analyzes and evaluates customer business issues and leads teams to execute defined solutions across all service offerings.
• Is accountable for increasing organic program revenue, managing margin, and other KPIs.
• Collaborates with operations leadership to ensure customer satisfaction and implements continual process improvement, measurement/benchmarking, and automation across all lines of service delivery.
• Records, analyzes, and evaluates the performance of delivery teams and external suppliers to achieve high levels of customer satisfaction, quality, and profitability.
• Is responsible for the analysis, evaluation, and generation of operational revenue forecasts and partners with the sales team on the evaluation and generation of sales forecasts.
• Provides support as a key interface with clients at the last stage of the sales cycle; provides thought leadership for solution generation; drives transition and onboarding of new clients as appropriate.
• Serves as the overall escalation point for assigned customer account(s).
• Leads operational discussions with the customer and proactively monitors and shares customer feedback received through the client feedback database, ensuring appropriate actions are taken and shared with the customer in a timely manner.
• Leads in formulating, interpreting, implementing, and measuring processes for company service offerings.
• Develops and certifies programs for operational readiness, supports hiring, and focuses on lowering costs related to client solutions and services.
• Is accountable for the overall financial health of the accounts.
• Collaborates with site and senior business unit leadership to drive teams in improving all areas, including process, people, and technology.

Program Director – Linguistic Validation

Payroll

• Coordinate end-to-end payroll transition activities across multiple countries, ensuring smooth migration from one provider or model to another.
• Act as the primary point of coordination between Global Payroll, Project Management, local country stakeholders, and payroll vendors.
• Support project planning, tracking, and reporting, ensuring milestones, risks, issues, and dependencies are clearly documented and escalated when needed.
• Lead data gathering, validation, and mapping activities, ensuring accurate and complete employee and payroll data is transferred.
• Support parallel runs, user acceptance testing (UAT), and issue resolution, ensuring payroll outputs meet accuracy and compliance standards.
• Ensure all process documentation, SOPs, and control frameworks are updated and handed over to BAU teams prior to go-live.
• Facilitate knowledge transfer and training for local payroll teams on new systems, tools, and vendor processes.
• Monitor project risks and implement mitigation plans, ensuring service continuity and compliance with internal controls.
• Build strong collaborative relationships with internal and external stakeholders to ensure successful delivery.
• Contribute to the wider Global Payroll Transformation agenda, identifying opportunities for standardisation, efficiency and improved governance.

Payroll Project Lead

Engineer

• Lead Intune Environment Management
• Architect, deploy, and manage device lifecycle
• Design zero-touch provisioning workflows
• Develop and enforce policies and compliance
• Manage application packaging and deployment
• Monitor device health and troubleshoot issues
• Evaluate new hardware and technologies
• Implement endpoint security and hardening
• Create and maintain documentation

EUC Engineer

Full-stack Engineer

• Build with AI using tools like Claude Code, Cursor, or GitHub Copilot daily.
• Work across the full stack (Java/Python architecture on AWS).
• Shape AI-assisted development practices and engineering processes.
• Ship production software in a customer-facing platform with tight deadlines.

Staff Engineer, AI-native Software Engineer

Sales Development Rep

• Identify and research target accounts and key decision-makers within assigned strategic accounts
• Execute outbound prospecting campaigns via phone, email, LinkedIn, and other channels
• Qualify outbound leads using defined criteria (e.g., BANT)
• Initiate high-quality discovery conversations to uncover business challenges aligned with RWS solutions
• Schedule and hand off qualified meetings to Business Development Managers
• Collaborate closely with Sales, Marketing, and Solutions teams to align targeted approach for outreach
• Maintain accurate and up-to-date activity, lead, and account data in CRM
• Meet or exceed monthly and quarterly KPIs related to sales accepted leads, pipeline contribution, and activity
• Stay current on RWS offerings, industry trends, and competitor landscape
• Support account planning efforts by contributing research, insights, and stakeholder mapping for strategic accounts
• Personalize outreach based on account initiatives, industry trends, and known business challenges
• Participate in continuous joint prospecting sessions, pipeline reviews, and strategy meetings with Business Development Managers
• Maintain strong internal knowledge of RWS solutions across language services, content, and technology offerings

Sales Development Representative

Learning and Development

• Design, develop, and manage eLearning modules and blended learning experiences that support the RWS product ecosystem.
• Define learning objectives, write scripts, outline and storyboard content, and develop course materials using instructional design best practices.
• Ensure all learning content is designed with accessibility principles in mind, following WCAG-aligned guidance and inclusive learning standards.
• Leverage UX and visual design principles to create intuitive and engaging learning experiences.
• Work directly with SMEs and Product Training team members to translate complex product information into learner-friendly content.
• Adapt content for multiple audiences including external customers, internal employees, and partners.
• Communicate clearly and proactively with stakeholders, ensuring shared understanding of scope, timelines, and expectations.
• Own assigned eLearning projects end-to-end, ensuring delivery within agreed timescales.
• Maintain training content up to date on the LMS and other platforms, ensuring accuracy, currency, and logical organisation.
• Support governance processes for content lifecycle management, including planning for retiring outdated materials.
• Contribute to best practices, tooling decisions, and continuous improvement within the product training function.
• Stay current on emerging learning technologies, AI integration, accessibility practices, and innovative design techniques that can enhance RWS’s training offering.
• Produce or edit video and animations for learning content using tools such as Camtasia and Vyond.
• Create knowledge checks, assessments, exams, and certification assets.
• Gather, analyse, and act on learner feedback to strengthen training quality and user experience.
• Proactively suggest enhancements to workflows, templates, and content design approaches.

Instructional Designer

Client Services Representative

• Provide updates during US working hours on in-flight EMEA-handled translation and filing orders to customers and colleagues in the NASA region
• Investigate and respond to complaints/feedback from customers in the NASA region within the same working day, working through the resolution and root cause analysis steps as far as possible
• Provide same-day price quotes where possible or, if not possible, initiate the price quote process for NASA customers and colleagues
• Relay urgent orders from NASA customers to APAC teams to ensure NASA-based clients receive immediate support and avoid delays.
• Handle orders with Asian-only language pairs to maximise time zone benefits, increasing available translation time and capturing data to feed into pricing information
• Assist Operational Leads with reporting activities and data gathering.
• Provide ad hoc support to EMEA operations teams

Client Services Specialist – IP Translation, Filing

Product Manager

• Define and own the Production Enablement product strategy, aligned to how RWS delivers, scales and evolves its services
• Set a clear long-term vision for a unified, resilient and extensible production application
• Determine where consolidation, standardisation or decommissioning is required, and where differentiation or bespoke capability remains strategically important
• Ensure alignment with RWS’s Target Operating Model, platform strategy and broader technology transformation priorities
• Lead a multi-product portfolio with shared capabilities, complex dependencies and varying levels of maturity
• Drive simplification and modernisation across the production systems/business application estate, reducing fragmentation and operational risk
• Champion performance qualities such as reliability, scalability, interoperability, observability and maintainability
• Map end-to-end processes, identify bottlenecks and inefficiencies, and translate these into clear product problem statements
• Provide product leadership across multiple squads or platform teams, ensuring alignment on outcomes, quality and delivery standards

Head of Product – Production Delivery

Data Entry

• Evaluate AI-generated speech for naturalness, human likeness, and expressiveness, identifying areas for improvement.
• Analyze conversational audio to accurately segment and label individual speakers.
• Compare AI and human responses to assess fluency, coherence, and realism.
• Assess synthetic speech by detecting errors in pronunciation, rhythm, and intonation.
• Provide structured feedback to enhance AI model accuracy and performance.
• Maintain high attention to detail and follow evaluation guidelines consistently.
• Must be able to receive and implement quality feedback from the project team