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Why this grade This listing scored 54/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Freshness 8 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
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- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
-5 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$113k – $180k
That is the middle half of what comparable roles paid on this board over the last 90 days — 62 listings that did publish a figure, median $132k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Full-Time Any Project & Program Management
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 and crowd communications.
- Deliver high-quality annotation and QA during POC and pilot phases to establish quality benchmarks.
- 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.
What You Bring
- 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 and FAQs.
- Confident communicator with experience engaging cross-functional stakeholders, including client-facing participation in meetings, workshops, or reporting cycles.
- Comfortable operating across multiple concurrent workstreams with a high degree of ownership and attention to delivery standards.
Compensation
Additional Information
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.
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Where this listing came from
- 08 Sep 2026 Jobicy first sighting
Seen on 1 board over 30 days. The employer edited the description 1× since we first recorded it.