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Project Specialist

3 months, 1 week ago
Spain, India, Europe, Philippines
Full-time
Mid Level
Data Analyst
Data Science and Analytics
Computer Vision Generative AI Git LLM
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Appen

Appen

Appen is a global leader in providing high-quality data management services for AI development. With over 1 million crowd workers, Appen supports the world's top technology companies in enhancing their products and services. The company offers a divers...

IT Services
1K-5K
Founded 1996
$59M raised
View All Jobs 11

Description

  • Coordinate project workstreams covering productivity, qualification, training, crowd communications, and QA to support on-time delivery.
  • Deliver high-quality annotation and QA during POC and pilot phases to establish quality benchmarks and reduce launch risk.
  • Partner with Client Partners and Pilot Teams to validate quote assumptions such as time-per-task and quality requirements before finalization.
  • Analyze datasets to identify patterns, insights, and optimization opportunities that inform automation strategy and customer-facing thought leadership.
  • Support Project Managers and Client Partners as the AI point of contact in client meetings, workshops, QBRs, and status updates.
  • Maintain version control and change communication processes so contributors receive guideline updates before launch and throughout production.
  • Translate QA findings into targeted improvements to supporting materials that reduce recurring annotation errors and improve data quality.
  • Provide data-backed findings and consultancy insight to strengthen Appen’s advisory value in early project phases and ongoing client relationships.

Requirements

  • 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 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 analyze datasets, identify patterns, and translate findings into actionable insights or process improvements.
  • Confident communicator with experience engaging cross-functional stakeholders 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 strong ownership and attention to delivery standards.

Benefits

  • Hourly target compensation of $20–$25 USD per hour.
  • Medical, dental, and vision coverage.
  • Retirement plan options.
  • Paid time off.
  • Flexible way of working supported by tools, resources, and development opportunities.
  • Opportunity to work on complex AI challenges across industries and geographies.

Interested in this position?

Apply directly on the company website

Apply Now

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