Data Processing Associate

Posted:
4/15/2026, 5:53:14 PM

Location(s):
Cavite, Philippines

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Workplace Type:
On-site

Project Overview

You will be working on Project Nectar, a roof geometry annotation project that uses 3D models built from historical satellite data. Your annotations will help identify structural features of roofs at scale, supporting downstream applications in building repair and roofing materials development.
No prior experience in geospatial work is required—comprehensive training will be provided.

Job Details

  • Project-Based | Full-Time
  • Onsite work in Cavite
  • Shifting schedules may apply
  • Training provided
  • Anticipated Start Date : June 26, 2026

 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.

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.

Appen

Website: https://appen.com/

Headquarter Location: Chatswood, New South Wales, Australia

Employee Count: 101-250

Year Founded: 2011

IPO Status: Public

Industries: Artificial Intelligence (AI) ⋅ Crowdsourcing ⋅ Data Collection and Labeling ⋅ Enterprise Software ⋅ Social Media ⋅ Software ⋅ Translation Service