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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in coordinating data annotation and AI training projects, ensuring high-quality delivery through effective communication and stakeholder engagement. Proficient in data analysis and quality assurance methodologies to drive process improvements and optimize project outcomes.
Highest-signal resume keywords
Data Annotation Project CoordinationQuality Assurance MethodologiesData Analysis and InsightsClient-Facing CommunicationVersion Control and Change Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnnotationQuality AssuranceData AnalysisAI Training Data ProjectsAnnotation WorkflowsProcess ImprovementDocumentation CreationOperational Assumptions ValidationPattern IdentificationAutomation Strategy
Soft Skills
Confident CommunicationCross-Functional CollaborationAttention to DetailOwnershipTime Management
Industry Keywords
GenAIPOC PhasesClient RelationshipsContributor DocumentationExecution Standards
About the role
Key responsibilities & impact- Coordinate assigned project workstreams - covering productivity, qualification, training, crowd communications, and QA - to ensure on-time delivery against execution standards
- Deliver high-quality annotation and QA during POC and pilot phases to establish quality benchmarks and de-risk new client relationships from day one
- Partner with Client Partners and Pilot Teams to validate quote assumptions, including time-per-task and quality requirements, before finalization
- Analyze datasets to surface patterns, insights, and optimization opportunities that inform automation strategy and drive thought leadership content for customers
- Support Project Managers and Client Partners as the AI expert point of contact across client meetings, workshops, QBRs, and status updates
- Maintain version control and change communication protocols to ensure contributors are informed of guideline updates prior to launch and throughout production
- Translate QA findings into targeted improvements to supporting materials, reducing recurring annotation errors and improving overall data quality
- Provide data-backed findings and consultancy insight to strengthen Appen's advisory value during critical early project phases and ongoing client relationships
Requirements
What you’ll need- Proven experience coordinating or delivering data annotation, content evaluation, or AI training data projects in a structured delivery environment
- Strong understanding of data quality principles, QA methodologies, and annotation workflows within GenAI or adjacent AI domains
- Ability to create clear, accurate contributor-facing documentation including guidelines, FAQs, and cheatsheets under tight timelines
- Experience supporting pilot or POC phases, including validating operational assumptions and establishing quality benchmarks
- Demonstrated ability to analyse datasets, identify patterns, and translate findings into actionable insights or process improvements
- Confident communicator with experience engaging cross-functional stakeholders, including client-facing participation in meetings, workshops, or reporting cycles
- Disciplined approach to version control, update management, and change communication across distributed contributor teams
- Comfortable operating across multiple concurrent workstreams with a high degree of ownership and attention to delivery standards
Benefits
Comp & perks- medical, dental, and vision coverage
- retirement plan options
- paid time off
