Data labeling, evaluation, rating and transcription roles from AI labs and AI data companies — remote, often flexible, listed from their career pages.
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Posted 22 hours ago
We are on a mission to elevate the standards of information shared on social media, to make a significant impact. As a Social Media Evaluator, you wil...
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Posted 23 hours ago
We're looking for native Modern Standard Arabic speakers in Qatar. You'll record voice commands using the Appen Mobile app. The session takes approx...
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Posted 1 day ago
We need native Arabic-United Arab Emirates (Gulf) speakers for a speech recording project. Your recordings help train AI speech recognition systems. ...
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We need native Arabic-Qatar (Gulf) speakers for a speech recording project. Your recordings help train AI speech recognition systems. The work is st...
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We need native Arabic-Saudi Arabia (Gulf) speakers for a speech recording project. Your recordings help train AI speech recognition systems. The wor...
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Posted 1 day ago
We're looking for native Modern Standard Arabic speakers in Saudi Arabia. You'll record voice commands using the Appen Mobile app. The session takes...
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Posted 1 day ago
We're looking for native Modern Standard Arabic speakers in United Arab Emirates. You'll record voice commands using the Appen Mobile app. The sessi...
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Posted 2 days ago
Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Posted 1 month ago
Who are we?Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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# Image & Video Annotation Specialist Pay: $50–$90/hour Job Type: Contractor Location: Remote ## About the Role We are looking for detail-oriented...
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Career context
Data annotators label, rate and check the examples AI systems learn from: tagging text, images, audio or video, judging search results or model answers, transcribing speech, and flagging unsafe content. Projects come with detailed guidelines, and quality is measured — accuracy and consistency decide how much work you get.
The roles below come from AI labs and AI data companies' own career pages. Many are contracts paid by the hour or by task, some need a specific language or country, and specialist projects (medical, legal, coding, rare languages) pay more. Legitimate annotation work never asks you to pay to apply.
Why RemoteAI
Every company on RemoteAI is actively hiring AI talent. No noise, no ghost listings, no recruiter markups.
Every role on RemoteAI is an AI specialist position. No noise, no irrelevant listings from unrelated industries.
No recruiter in the middle. Your application goes straight to the company making the decision. Faster responses, no markups.
Creating a profile, applying, and getting hired costs nothing. No placement fee, no revenue percentage, no exclusive contracts.
Every listing shows compensation range before you apply. No wasted interviews with companies outside your range.
Every role is remote. Some require timezone overlap — the listing will specify. Filter by region if that matters to you.
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
General annotation and rating work pays entry-level hourly rates; language, domain and technical projects pay several times more. Each listing shows what the employer published.
Native languages, professional background (medicine, law, coding, finance) and countries you can work from decide which projects you qualify for.
Most projects start with a guideline test. Read the guidelines fully — consistency matters more than speed.
Every listing links to the employer's own application. Never pay a fee, buy equipment or share bank details before a contract.
Profile guide
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
Annotation is measured on accuracy. A record of precise, careful work is the strongest signal.
Fluency in a language besides English opens many more projects, especially speech and localisation.
Medical, legal, financial or coding expertise leads to specialist projects with better pay.
Applying long, changing guidelines consistently is what keeps annotators on a project.
Steady weekly hours and on-time delivery lead to more and better tasks.
Labeling platforms, spreadsheets and basic QA tools — fast learners get onboarded first.
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FAQ
Everything you need to know before applying for your first data annotator role.
Data annotation means labeling or judging data so AI models can learn from it — tagging text, images, audio or video, rating search results or chatbot answers, transcribing speech, or flagging unsafe content, following a written guideline.
Many general projects do not, but they test you first. Projects that need a language, a profession or coding skills ask for that expertise and pay more.
General labeling and rating usually pays modest hourly or per-task rates. Specialist projects — medical, legal, coding, rare languages — pay considerably more. Each listing shows the pay the employer published, when they publish it.
Annotation is mostly labeling and rating data against guidelines. AI trainer and AI tutor roles go further: writing model answers, ranking responses in depth (RLHF) and red-teaming. See our AI trainer jobs page for those roles.
Yes. Search engine evaluators (also called raters) judge how relevant and useful search results, ads or AI answers are, following detailed guidelines. They appear on this page alongside labeling and evaluation roles; many require fluency in a specific language and residence in a given country.
Apply only through the employer's official page (each listing links to it), never pay a fee or buy a kit, and be wary of offers that skip any test or interview.
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