Data Collection
Real-world datasets collected around your exact requirements.
- Image & video
- Audio & speech
- Text & multimodal
AI Data Operations
The Human Layer Behind AI.
High-quality data collection, annotation, human evaluation, and quality assurance for organizations building intelligent systems.
Multi-level reviewTrained, qualified annotatorsConfidential data handling
Production ready
Agree guidelines and targets1
Run a pilot batch to calibrate2
Review and QA before delivery3
How every project runs
Image & Video AnnotationRLHF DataSpeech & AudioBounding BoxesSemantic SegmentationLLM EvaluationPreference RankingNamed Entity RecognitionKeypoint TrackingSafety EvaluationMultilingual DataModel Benchmarking
Preference RankingNamed Entity RecognitionKeypoint TrackingSafety EvaluationMultilingual DataModel BenchmarkingImage & Video AnnotationRLHF DataSpeech & AudioBounding BoxesSemantic SegmentationLLM Evaluation
What we do
Data operations built for modern AI.
From raw data to production-ready datasets, AnnoTara AI provides the human expertise and quality systems AI teams need.
Data Annotation
Structured labeling for machine learning and computer vision.
- Bounding boxes & segmentation
- Classification & NER
- Tracking & keypoints
LLM & GenAI
Human feedback and evaluation for next-generation AI systems.
- Preference ranking
- Response evaluation
- RLHF data
AI Evaluation
Human-powered testing and benchmarking for model performance.
- Model benchmarking
- Factuality & relevance
- Safety evaluation
Quality Assurance
Multi-stage verification designed to make datasets dependable.
- Audits & calibration
- Gold standards
- Error analysis
Managed Operations
Dedicated teams for organizations with ongoing data requirements.
- Project management
- Dedicated teams
- Workflow design
How we work
From first brief to finished dataset.
A clear, repeatable process so you know what happens at every stage.
- Share your brief
Tell us your data type, guidelines, volume, and what good quality looks like.
- Pilot and calibrate
We run a small batch, align annotators to your guidelines, and agree on targets.
- Scale with QA
Trained teams produce at volume while multi-level review keeps quality on target.
- Deliver and report
You receive production-ready data with transparent quality and progress reporting.
Our standard
Data quality isn't an afterthought. It's the product.
Every AnnoTara AI engagement follows a structured quality framework designed around accuracy, consistency, confidentiality, and measurable outcomes.
98%+Target quality benchmark*
Multi-levelReview process
TrainedQualified workforce
MeasuredContinuous QA
*Target set on our projects, not a guarantee. Figures in the hero panel are illustrative.
AnnoTara AI 5Q™
Built around quality.
Quality
Clear standards and measurable accuracy targets.
Qualification
Annotators are trained and tested before production.
Consistency
Guidelines and calibration keep decisions aligned.
Confidentiality
Controlled access and responsible data handling.
Quantifiability
Transparent reporting on quality and productivity.
Built for AI builders
Across the AI ecosystem.
Support for teams developing, testing, and deploying intelligent systems.
Generative AIComputer VisionRoboticsSpeech & VoiceAutonomous SystemsE-commerce AISearch & RecommendationEnterprise AIResearch
Opportunities
More than a task. A path into AI.
AnnoTara AI can provide project-based opportunities and longer-term roles as our workforce grows.
Entry
AI Data Annotator
Label images, video, text, audio, and AI-generated content using project guidelines.
Quality
AI Data Reviewer
Review annotations, identify errors, and help maintain project quality standards.
Leadership
Annotation Team Lead
Support annotators, monitor quality and productivity, and handle escalations.
AI Evaluation
AI Evaluation Specialist
Evaluate model responses for accuracy, relevance, safety, and instruction following.
Operations
Project Coordinator
Coordinate project schedules, workforce allocation, reporting, and client requirements.
Talent Network
Future Opportunities
Join the talent pool even when your preferred role is not currently open.
FAQ
Questions from new annotators.
Who can sign up?
Anyone in a supported country can apply. Annotator and the Future Opportunities talent pool are open right now; other roles will open as our team grows.
How do I get paid?
Through Airtm, Wise or PayPal. You add your account in the dashboard, and your earnings are shown in the currency of your country.
When are payments made?
Payout timing is confirmed when you are assigned to a project. Every payment appears in your dashboard's payout history.
What do I need to start?
A computer or laptop, a stable internet connection, and a good command of the languages you list. Your resume is uploaded when you sign up.
Is there a community?
Yes. Yes. Once you sign in, your dashboard has a link to join our Discord community for project updates and questions.
About AnnoTara AI
Better AI begins with better human data.
AnnoTara AI brings together skilled people, structured processes, and technology-driven quality control to create the human data behind intelligent systems.
From collecting real-world data to producing accurately labeled datasets and evaluating AI-generated outputs, we help organizations build with confidence.
Before you send a brief
How we handle your data.
Sharing data with a new vendor is a real decision. These are the commitments we make before any project starts.
NDA first
We're happy to sign your NDA before you share any data or guidelines.
Need-to-know access
Your data and guidelines are shared only with the people working on your project.
Used only for your project
We never reuse your data or guidelines for another client or purpose.
Deleted on request
When a project ends, we delete your data when you ask. Read our Privacy Policy
Let's build
Have a dataset to build?
Tell us what you're working on. We'll help you design the right data operation for your AI project. Not sure about volume? Start with a small pilot.