Director – Contributor Success & Engagement

CrowdGen by Appen is a leading global platform supporting companies in building and launching AI. As one of the largest AI data services companies, we enable global enterprises to develop and deploy large-scale AI models and applications. With a network of over 1 million Contributors in 185+ countries, CrowdGen connects highly skilled independent contractors with AI data projects that require diverse expertise in over 500 languages. Our projects range from quick-turn, high-volume tasks to long-term, complex deliverables.

$160,000 - $180,000 a year

Position Summary

As Director of Contributor Success and Engagement for CrowdGen, you'll lead the strategy to retain and develop our Contributors (Crowd), improving NPS and Satisfaction scores, and deepening engagement across our global Crowd. You'll design and deliver an innovative program to promote loyalty, retention, and performance that make gig work more rewarding, motivating, and human. This is a high-impact leadership role that touches product, digital experience, finance, sourcing, and support—driving outcomes for both the business and the Contributors who power our AI.

Key Responsibilities

* Own and evolve the global retention strategy, designing segmented programs to increase NPS and CLV

* Build lifecycle and loyalty programs to retain top performers and encourage long-term participation

* Oversee Contributor communications, ensuring tone, clarity, and brand consistency across all channels

* Partner cross-functionally with Product, Finance, Support, Marketing, and Digital teams to scale impact

Monitor and act on Contributor NPS, identifying root causes of churn and sentiment drop-offs

Create recognition programs that celebrate Contributor achievements and foster community loyalty

Champion Appen’s ethical labor standards, shaping our reputation as the preferred platform for AI Contributors

About You

You’re a strategic operator and customer-obsessed builder who thrives at the intersection of data, people, and product. You’ve designed retention or loyalty programs at scale—ideally for marketplaces, gig platforms, or subscription models—and you’re fluent in behavioural levers that drive long-term engagement.

You will have:

* 8+ years in retention marketing, lifecycle management, or loyalty program strategy

* Experience with large-scale, segmented user/member bases—preferably in a digital or platform environment

* Strong analytical skills and the ability to evaluate NPS, CLV, incentive performance, and ROI

* A track record of building impactful programs across cross-functional teams

* Excellent written and verbal communication skills with a sharp sense for brand tone

* Passion for fair work, global workforce enablement, and the future of the gig economy

Bonus if you’ve worked on:

*Gig or platform loyalty programs

*Upskilling or learning incentives

* Global contributor or workforce community management

Why Join Appen

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. We support work-life balance with flexible work arrangements and a dynamic, results-driven environment. Employees have access to competitive pay, comprehensive benefits, and opportunities for continuous learning and career growth.

Our team works closely with the world’s top technology companies and enterprises, tackling exciting challenges and shaping the future of artificial intelligence.

About Appen

Appen has been a leader in AI training data for over 25 years, providing high-quality, diverse datasets that power the world's leading AI models. Our end-to-end platform, deep expertise, and scalable human-in-the-loop services enable AI innovators to build and optimize cutting-edge models.

We specialize in creating bespoke, human-generated data to train, fine-tune, and evaluate AI models across multiple domains, including generative AI, large language models (LLMs), computer vision, speech recognition, and more. Our solutions support critical AI functions such as supervised fine-tuning, reinforcement learning with human feedback (RLHF), model evaluation, and bias mitigation.