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Project Specialist

Role overview

Qualifications

  • Proven experience coordinating or delivering data annotation, content evaluation, or AI training data projects
  • Strong understanding of data quality principles, QA methodologies, and annotation workflows
  • Ability to create clear, accurate contributor-facing documentation under tight timelines
  • Demonstrated ability to analyse datasets and translate findings into actionable insights

Responsibilities

  • Coordinate assigned project workstreams to ensure on-time delivery
  • Deliver high-quality annotation and QA during POC and pilot phases
  • Analyze datasets to surface patterns and insights that inform automation strategy
  • Translate QA findings into targeted improvements for overall data quality

Key facts

Other skills

  • Quality Assurance
  • Communication
  • Engagement Skills
  • Detail Oriented
  • Problem Solving
  • Collaboration

About the company

appen logo

appen

Artificial Intelligence & Machine Learning Services

We help our clients enhance their best-in-class products and services around the world, including search engines, social media platforms, voice recognition systems, sentiment analysis, and eCommerce sites. All of that wouldn’t be possible without our team of more than 1 million flexible workers. The world of tech is moving fast, and we help our clients meet the ever-changing needs of their customers. We take pride in our diverse, international team and the flexible and full-time opportunities we offer. Remote work is changing how the world does business, and we’re proud to be pioneers in the movement. If you’re looking for a work-from-home opportunity, join us! At Appen, our team is an international force to be reckoned with. Operating in over 130 countries and working in more than 180 languages and dialects, we support the work of some of the world’s top technology companies. With Appen, you’ll get to work on innovative projects and grow your skills – all on your own schedule. Please be aware that Appen recruiters will only reach out to you via official channels (e.g., directly from @appen.com email addresses, or through our recruiters who are noted as such on LinkedIn). If you have suspicions about an interaction, ask for official email communications from an @appen.com. We will never ask you to send money to apply or start a job with us. We will also never send a check in advance. We will never ask you to send personal identifiable information outside of our secure job site, Appen Connect. All job applications should be submitted through our Jobs page to the applicable site.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size501 - 1000

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Job description

Role Purpose

Appen's GenAI Project Delivery team sits at the intersection of AI development and real-world data quality, executing the annotation, evaluation, and data collection work that shapes how frontier models perform. The purpose of this role is to drive end-to-end delivery excellence across GenAI projects by ensuring task configuration, contributor performance, and data quality outcomes stay tightly aligned to client expectations. This is a hands-on, cross-functional role with influence over delivery standards, client outcomes, and the continuous improvement of how Appen executes at scale. 


Your 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 
  •  

    What You Bring
  • 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 
  • Why You’ll Love Working Here

    At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models. You'll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You'll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.

    About Appen

    Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

    The hourly target compensation for this full-time role ranges from $20 –$25 USD per hour. Actual compensation is determined based on role, level, location, experience and technical expertise. Appen offers a comprehensive benefits package, including medical, dental, and vision coverage, retirement plan options and paid time off.  

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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