Find remote data annotation jobs.
Label the data AI learns from.
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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Data labeling, evaluation, rating and transcription roles.
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Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who ar...
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Posted 1 week ago
Data Annotation Specialist - German Writer/Translator
Cohere
Canada
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Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who ar...
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Posted 3 weeks ago
Social Media Evaluator (Burmese-Myanmar)
Appen
Myanmar
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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 3 weeks ago
Speech Collection Evaluator (Arabic-Qatar_MSA)
Appen
Qatar
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We're looking for native Modern Standard Arabic speakers in Qatar. You'll record voice commands using the Appen Mobile app. The session takes approxim...
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Posted 3 weeks ago
Speech Data Collection Contributor (Arabic-United Arab EmiratesExternal_Recruitment)
Appen
United Arab Emirates
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We need native Arabic-United Arab Emirates (Gulf) speakers for a speech recording project. Your recordings help train AI speech recognition systems. T...
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Posted 3 weeks ago
Speech Data Collection Contributor (Arabic-QatarExternal_Recruitment)
Appen
Qatar
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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 stra...
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Posted 3 weeks ago
Speech Data Collection Contributor (Arabic-Saudi ArabiaExternal_Recruitment)
Appen
Saudi Arabia
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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 work...
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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 2 months ago
Data Annotation Specialist, Data Science
Cohere
Canada
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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 3 months ago
Applications closedAI Multilingual Annotation Guideline Translator
Jaltrix Data
Hybrid
Berlin, Germany (UTC+1)
Python and Hugging Face annotation tooling are the core of what our labeling pipeline runs on. If you've ever watched a labeling guideline lose all it...
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How it works
Post a job, read applications and hire in one place.
Career context
Careful, consistent judgment is the whole job
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.
Not sure an offer is real? Our guide Is data annotation legit? shows what real platforms pay and the red flags of a scam.
Why RemoteAI
Built for AI specialists.
Not general job boards.
Some roles are posted here by the company, others link to the company's own job page. Closed roles are marked as closed, and there are no recruiter markups.
AI-only job listings
Roles are filtered to AI work. Each listing shows the company and links to its own job page.
Direct access to hiring teams
No recruiter in the middle. Your application goes to the company making the decision, here or on its own job page. No markups.
Free for candidates
Your profile, browsing and up to 20 applications a day are free. No placement fee, no share of your salary, no exclusive contract.
Pay shown when known
Jobs posted on RemoteAI show a pay range. Listings from company career pages show it when the company publishes one.
Remote roles
Remote and remote-friendly roles. Some require timezone overlap or a country, and the listing says where you can work from.
Full application tracking
Track all your applications, messages, and interviews in one place. No more losing track of where you applied.
Step by step
How to find a data annotator job on RemoteAI
General annotation and rating work pays entry-level hourly rates; language, domain and technical projects pay more. Each listing shows what the employer published.
Lead with languages and domains
Native languages, professional background (medicine, law, coding, finance) and countries you can work from decide which projects you qualify for.
Expect a qualification test
Most projects start with a guideline test. Read the guidelines fully: consistency matters more than speed.
Apply on the official page
Every listing links to the employer's own application. Never pay a fee, buy equipment or share bank details before a contract.
Profile guide
How to stand out as a data annotator
Not all profiles get responses. These are the signals that separate candidates who get interviews from those who don't.
Attention to detail
Annotation is measured on accuracy. A record of precise, careful work is the strongest signal.
Languages
Fluency in a language besides English opens many more projects, especially speech and localisation.
Domain knowledge
Medical, legal, financial or coding expertise leads to specialist projects with better pay.
Following guidelines
Applying long, changing guidelines consistently is what keeps annotators on a project.
Reliability
Steady weekly hours and on-time delivery lead to more and better tasks.
Tool comfort
Labeling platforms, spreadsheets and basic QA tools: fast learners get onboarded first.
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FAQ
Questions about remote data annotation jobs
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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