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Appen Tech Stack

AI training data platform with 1M+ global annotators

IT Services and IT Consulting Kirkland, Washington 501–1,000 employees Founded 1996 Public Company

Appen operates a data annotation and labeling platform serving AI model training, with a sprawling global workforce (hiring across 25+ countries) and a data-heavy tech stack built on AWS, Databricks, and Redshift. The hiring mix is heavily skewed toward junior data roles (70 of 116 open positions), paired with acute pain points around speech recognition accuracy, data governance, and compliance—a pattern typical of companies scaling crowdsourced annotation while managing quality at volume.

Tech Stack 52 technologies

Core StackAWS Databricks AWS Glue Delta Lake Unity Catalog Apache Spark Python Scala Power BI DocuSign Workday Java Amazon Redshift Amazon Athena Amazon Kinesis Amazon EMR Amazon RDS Trados MemoQ Smartcat Excel PowerPoint Word Outlook SharePoint OneDrive SAST DAST R Spring Boot+19 more

What Appen Is Building

◆Challenges

Improving speech recognition accuracy
Voice assistant understanding
Collecting diverse data
Information integrity on social media
Data compliance issues
Scalable data infrastructure
Performance reliability security of data workflows
Data governance and quality
Voice recognition challenge
Sound responsiveness

▲Active Projects

Jigglypuff project
Multilingual dataset creation
Aragorn malay transcription project
Annotation project
Jigglypuff transcription
Voice reading challenge
Machine translation evaluation
Ai voice interaction project
Project chive: affiliates video product relevance labeling
Japanese to thai translation project

Hiring Activity

Decelerating120 roles · 25 in 30d

Department

Data

70

Ops

14

Support

8

Marketing

6

Engineering

5

Product

5

Sales

2

Finance

1

Seniority

Junior

66

Mid

27

Senior

11

Intern

5

Manager

2

Lead

1

Staff

1

Notable leadership hires: Team Lead

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About Appen

Appen provides human-annotated training datasets for AI model development, covering supervised fine-tuning, reinforcement learning with human feedback (RLHF), and model evaluation. The platform combines an annotation and labeling interface with access to a global contributor network spanning over 200 countries. Core service areas include transcription, translation, computer vision labeling, and RLHF for large language models. The company operates at scale—managing multilingual datasets, voice projects, and specialized evaluation workflows—and serves enterprise clients building generative AI and LLM applications. Founded in 1996 and headquartered in Kirkland, Washington, Appen is a public company with 501–1,000 employees.

HeadquartersKirkland, Washington

Company Size501–1,000 employees

Founded1996

Hiring MarketsFrance, China, Poland, India, Philippines, Taiwan, Mexico, Mongolia

Frequently Asked Questions

What tech stack does Appen use?

Appen uses AWS (Redshift, Glue, Athena, Kinesis, EMR, RDS), Databricks with Delta Lake and Unity Catalog, Apache Spark, Python, Scala, and annotation tools including Trados, MemoQ, and Smartcat. Data pipelines are supported by Power BI for analytics.

What is Appen working on?

Active projects include multilingual dataset creation, transcription and voice projects (Jigglypuff), machine translation evaluation, video labeling, Japanese-to-Thai translation, and voice assistant understanding—spanning generative AI, LLM fine-tuning, and speech recognition workflows.