What is Appen used for?

Appen is used to collect, label, and evaluate training data for machine learning and generative AI models through its platform and crowd workforce.

Who should use Appen?

Machine learning engineers, AI research teams, and product groups that need large volumes of human-labeled or custom-collected data should consider Appen.

Does Appen help with generative AI?

Yes. Appen provides human evaluation of model outputs and custom data for training and fine-tuning large language models.

Appen does not publish pricing. Costs depend on project scope, data type, and volume, so buyers request a quote from the vendor.

What are the best alternatives to Appen?

Leading alternatives to Appen include Scale AI, TELUS Digital, Labelbox, and Sama for AI data collection and annotation.

Appen Reviews, Features & Alternatives

Name: Appen
Rating: 4.3 (20 reviews)

Overview

What is Appen?

Appen is an AI training data provider that helps companies collect, label, and evaluate data for machine learning and generative AI models. It combines an annotation platform with a global crowd of contributors who handle tasks such as transcription, image tagging, search relevance, translation, and model output review. Teams can request custom data collection or use managed services. AI researchers, machine learning engineers, and product teams use Appen to build and test models.

Best for

Machine Learning EngineersAI Research TeamsData Science TeamsProduct ManagersLocalization Teams

Product snapshot

Category: Data Extraction & Collection
Best for: AI model training data
Deployment: Cloud / Mobile
Free trial: No
Integrations: TensorFlow, Keras, Payoneer
AI features: Yes

Key features

Key features of Appen

Data collection

Gather custom text, speech, image, and video data for training.

Data annotation

Label images, text, audio, and video with human contributors.

Model evaluation

Have human reviewers rate and compare AI model outputs.

Speech and transcription

Transcribe audio and collect speech data across many languages.

Crowd workforce

Access a global pool of contributors for microtasks at scale.

Workflow management

Set up task guidelines, quality checks, and project workflows.

Reviews

Appen reviews

20 reviews

Overall

4.3/5

Ease of use4/5
Features4/5
Value for money4/5
Customer support3.8/5

What users like

Wide variety of task types
Clear guidelines for each task
Simple, easy to use interface
Flexible remote project work

What users dislike

Project availability is often inconsistent
Slow support response times
Payoneer is the only payout option
Strict qualification tests for projects

Dvock A.

Software Tester

“Liked the variety of task types and the clear guidelines for each project. Found support slow and issues took a long time to resolve.”

Amane W.

Translator and Localizer

“Liked that projects were often listed as open. Found many projects unavailable, applications slow, and support poor, ending with the account being closed.”

Amy M.

Clerk

“Liked it as a straightforward way to earn money and try many different kinds of jobs from home. Noted no major drawbacks.”

Pratap M.

Student

“Liked earning money from small tasks on the platform. Found Payoneer was the only withdrawal option and it charged a fee of about three dollars.”

Matta S.

Student

“Liked the easy small tasks and found the platform better than similar apps. Found withdrawal fees, slow responses, and occasional glitches frustrating.”

Kameisha N.

Customer Service

“Liked the many task listings that are easy to qualify for. Found the monthly payment schedule slower than preferred for receiving earnings.”

Yanick T.

CEO Manager

“Liked the steady flow of micro-projects. Found the qualification exams strict and the pay low compared with the effort required.”

Alekhya H.

Clinical Investigator

“Liked it for AI training work and side income. Found no replies on application status, Payoneer the only payout method, and a high withdrawal threshold.”

Sudarshan P.

Student

“Liked the user-friendly and flexible platform for remote work. Found payment processing slow and the number of available tasks limited at times.”

Jhon P.

Security Guard

“Liked the large number of remote jobs available to apply for on the platform. Found that some of the tasks were complex to complete.”

Vincent D.

Analyst

“Liked the on-time payments and the responsive support team. Found that some of the assigned tasks were tedious and repetitive to work through.”

Ayse A.

Translator

“Liked having multiple projects to choose from on the platform. Found the training hours long and the qualification tests demanding before starting work.”

Giselle O.

Employee Inquiry Specialist

“Liked the simple interface for finding and completing work. Found the mobile app limited in what it can do and support slow to respond.”

Jessieah M.

Driver

“Liked the flexible work-from-home microtasks. Found task availability inconsistent, the pay low for the effort, and some projects restricted by location.”

Praveen K.

Sr. Associate

“Liked earning extra income from simple tasks in spare time. Found that some of the listed tasks did not work as expected when opened.”

Theresia K.

Freelancer

“Liked being able to earn from home through the platform. Found that the volume of available jobs varies by country.”

Chandrakeerthan P.

Student

“Liked the rewards for completed tasks and the friendly interface. Found Payoneer was the only withdrawal option available for receiving earnings.”

Mohamed A.

Chemical Engineer

“Liked the easy job search and the diverse range of available work. Found linking a Payoneer account during the signup process difficult.”

Heather A.

Mortgage Loan Processor

“Liked the good pay and technology-focused work on offer. Found it hard to get accepted onto projects and project requirements sometimes unclear.”

Tiurma Vivi S.

Freelancer

“Liked the flexibility, good payment, and ease of use. Found there is no long-term contract certainty and waits between projects can be long.”

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Alternatives

Top Appen alternatives

Scale AI
Best for
Enterprise AI data labeling
Why choose it
Managed labeling for large AI programs
TELUS Digital
Best for
Multilingual data services
Why choose it
Global crowd for annotation and collection
Labelbox
Best for
In-house labeling teams
Why choose it
Labeling software with model-assisted workflows
Sama
Best for
Computer vision annotation
Why choose it
Managed image and video labeling services

Integrations

Appen integrations

Appen fits into machine learning pipelines as a data and services layer rather than a plug-in app. Its platform offers API access so teams can send tasks, retrieve labeled data, and connect results to training workflows built on frameworks such as TensorFlow and Keras. Datasets are delivered in standard formats that load into common data science and storage environments. On the contributor side, Appen pays its crowd workforce through Payoneer. Most enterprise engagements are scoped with Appen directly, so teams planning large data collection or model evaluation projects should confirm delivery formats, security controls, and pipeline connections with the vendor.

FAQ

Appen

What is Appen?

Key features of Appen

Data collection

Data annotation

Model evaluation

Speech and transcription

Crowd workforce

Workflow management

Appen reviews

What users like

What users dislike

Write a review

Top Appen alternatives

Scale AI

TELUS Digital

Labelbox

Sama

Appen integrations

Frequently asked questions about Appen