Automation Specialist

Roles and responsibilities not limiting to: 

Workflow Participation 

• Execute content review and operational tasks to the same standard expected of any specialist on the assigned project, in line with project-specific quality standards, guidelines, and SLAs. 

• Undergo onboarding training to develop a thorough working knowledge of the assigned project's workflows and Client priorities. 

• Maintain quality and throughput targets consistent with specialist-level performance benchmarks for the assigned project. 

Analysis & Optimisation 

• Independently analyse workflow data and operational performance to identify inefficiencies, bottlenecks, and automation opportunities. 

• Document identified opportunities within project workflows; maintain a prioritised backlog and contribute to continuous intake as the automation share of the role grows. 

• Translate analytical findings into clear, actionable recommendations for VPMs and program leadership. 

• Monitor the effectiveness of implemented solutions, iterating based on performance data and stakeholder feedback. 

Automation & AI Development 

• Design, develop, and deploy automation and AI-assisted tools using approved platforms (including proprietary Client tools and similar), under the guidance of the VPM. 

• Apply scripting or programming skills (Python, JavaScript, or equivalent) and familiarity with automation platforms to build robust, maintainable solutions. 

• Deliver proofs of concept initially, building toward a steady cadence of solutions and ongoing maintenance as the role matures. 

• Create and maintain documentation for all automation tools, including technical specifications and usage guides accessible to non-technical stakeholders. 

• Provide knowledge-sharing and enablement to the wider team on deployed solutions, supporting adoption. 

• Research emerging AI and automation tooling; evaluate and recommend relevant innovations to the team. 
   

  KPIs / Success Measures 

   

  This role operates on a blended model. In the early months, the primary measure of success is effective integration into the assigned project as a fully contributing specialist. Automation deliverables will emerge organically as project knowledge develops. KPIs scale with the workload split — as the automation share increases, targets move up with it. Full ownership of cost-reduction targets sits at P2; at P1, efficiency impact is tracked as a directional, internal indicator. 

   

  KPI / Success Measure 

  Target / Indicator 

  Specialist Duties — existing Apple project metrics apply 

  Task completion rate 

  Meets project SLA targets, consistent with peer benchmarks 

  Quality score on project workflows 

  Meets quality score targets as set by VPMs and management for the assigned project. 

  Training milestone adherence 

  All onboarding and project certifications completed within agreed timelines 

  Automation & AI Duties — scales with workload split as automation share grows 

  Opportunities identified 

  Automation/AI opportunities documented within project workflows; baseline backlog established at start, moving to continuous intake as automation share grows 

  Solutions delivered 

  Automation/AI solutions designed and deployed under guidance; starting with a proof of concept, building to a steady cadence plus ongoing maintenance 

  Efficiency impact (directional, internal) 

  Manual hours saved / cycle-time reduction on targeted workflows; tracked as a trend once solutions are live — not a client-facing commitment 

  Quality & reliability 

  Pass/success rate and rework rate of delivered automations; meeting an agreed threshold and kept stable 

  Adoption & enablement 

  Uptake of solutions by the wider team; quality of documentation and knowledge-sharing 

  Capability ramp 

  Training milestones on AI/automation tooling, progressing from core to advanced toward self-directed work within scope 

Education 

• No minimum degree requirement. Relevant technical certifications or demonstrable equivalent experience will be considered. 

Experience 

• No minimum years of experience required; candidates are assessed on demonstrated skills and capability. 

• Practical experience with automation tools, scripting, or AI-assisted workflows in a professional or project setting is an advantage. 

• Background in data operations, content review, localisation, or a related field is preferred. 

Skills & Knowledge 

• Proven analytical capability — able to examine complex workflows, identify root causes, and develop structured solutions independently. 

• Proficiency in at least one scripting or programming language (Python, JavaScript, or equivalent). 

• Familiarity with automation platforms and AI tooling; experience with prompt engineering is an advantage. 

• Advanced spreadsheet skills, including macros, formulas, and data models. 

• Strong written and verbal communication skills in English (native or business-level proficiency); able to present technical findings to non-technical audiences. 

• Organised and self-directed, with the ability to manage competing priorities in a high-volume, fast-paced environment. 

• Proactive, flexible, and comfortable navigating ambiguity as project needs evolve. 

• Proficiency in one or more additional languages at business level is preferred. 
   

  Work Environment Requirements 

  • Comfortable maintaining focus in a stationary role with extended computer use. 

  • Willingness to work in a high-volume, evolving environment where priorities may shift. 

  • This role may involve exposure to content that could be considered sensitive (e.g. content related to health, adult themes, violence, or other mature topics) as part of standard project workflows.