Head-to-head
Innodata vs Appen
Which pays more, which is easier to start, and which fits the work you want. Compared on real pay, work model, payout, and the roles open right now.
Innodata
AppenInnodata vs Appen: the short answer
, AITraining.jobs lists 31 open Innodata roles (typical pay $15 to $50 an hour, median $15) and 41 open Appen roles.
Appen pays more on typical work ($2.40–$100/hr; CrowdGen experts up to $450/hr vs Innodata's $15-$50/hr typical (live median $15)), a 86% chance on the rates the two boards state.
Both are microtask crowds, so the barrier to start is similar: open to anyone after a short qualification, no degree or experience required.
Both hire for AI Evaluation, Multilingual, Transcription & Audio, and Data Annotation; Innodata also covers Writing and Domain Experts; Appen also covers Robotics Data.
Right now Appen has more live roles (41 vs 31).
Bottom line: Appen pays more, so pick Appen for the higher rate, or Innodata if its specific work fits you better.
| Innodata | Appen | |
|---|---|---|
| Typical pay | $15-$50/hr typical (live median $15) | $2.40–$100/hr; CrowdGen experts up to $450/hr |
| Work model | Microtask crowd · Data engineering company hiring flexible-hours AI associates | Microtask crowd · Global crowd (speech/localization) |
| Kinds of work | AI Evaluation, Writing, Multilingual, Transcription & Audio, Data Annotation, and Domain Experts | Transcription & Audio, Data Annotation, Robotics Data, Multilingual, and AI Evaluation |
| How you get paid | Not stated on its postings; they give an expected hourly range and do not say whether the role is a contract or employment, except where a posting names a fixed-term contract. | Monthly through CrowdGen, by bank transfer, PayPal, Payoneer, Airtm and more; earnings are mostly stated in US dollars and paid in local currency (crowdgen.com and its payments page, read 1 Nov 2026). |
| Where you can work | United States for nearly all of its remote AI roles (each posted for a state or for the US), a few in Canada; a handful are on site in San Jose or hybrid in Washington DC. | 170+ countries, 235+ languages (its About page, read 1 Nov 2026); each project is open only in the countries and languages its posting names. |
| Open roles now | 31 live | 41 live |
| Worker ratings | Glassdoor (Generative AI Associate) 2.4/5 (about 60 reviews) · Glassdoor (Innodata as a whole) 3.7/5 (about 960 to 980 reviews) · Trustpilot 2.6/5 (4 reviews) (read November 2026) | Trustpilot (Appen) 1.5/5 (371 reviews) · Trustpilot (CrowdGen) 1.5/5 (134 reviews) (read November 2026) |
Pay shows each platform's live measured band where its feed has enough hourly-stated roles, otherwise our compiled benchmark. How we compile pay.
Best for steady entry-level task work you can pick up without credentials.
31 open roles now →Best for steady entry-level task work you can pick up without credentials.
41 open roles now →Some links on AITraining.jobs are referral links. If you sign up through one, AITraining.jobs may earn a commission at no extra cost to you. It never changes what a platform pays you.
How their pay compares with the market
Appen. On 11 Nov 2026, 12.2% of its open roles stated an hourly rate. Their 5 distinct advertised rates have a median of $25/hr and typical pay of $4 to $40/hr, against a median of $40/hr across other platforms' rates.In Transcription, Audio & Speech, the one kind of work where both Appen and other platforms state enough rates to compare, its median is $35/hr against $30/hr (+20.0%). Appen Hiring Data
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Innodata vs Appen: common questions
Which pays more, Innodata or Appen?
Appen pays more on typical work ($2.40–$100/hr; CrowdGen experts up to $450/hr vs Innodata's $15-$50/hr typical (live median $15)), a 86% chance on the rates the two boards state.
Is Innodata or Appen easier to get started with?
Both are microtask crowds, so the barrier to start is similar: open to anyone after a short qualification, no degree or experience required.
Can you work on both Innodata and Appen?
Yes. They are independent platforms, and many contributors join several at once to keep a steady flow of work, especially since both hire for AI Evaluation, Multilingual, Transcription & Audio, and Data Annotation. Signing up for one does not affect the other.
More comparisons
Ordered by what applying to their platforms is worth, lifted by a referral boost for a platform that pays us a referral fee; it never changes what a platform pays you.