AI Evaluation
Human evaluation, response ranking, factuality assessment, reasoning review, rubric-based evaluation, benchmarking, and model quality testing.
Train, evaluate, and improve AI with vetted human expertise at scale.
Wazora recruits, trains, and manages high-quality human teams for AI evaluation, training data, multilingual intelligence, and agent training.
Born in Africa. Built for global AI.
What we do
Human evaluation, response ranking, factuality assessment, reasoning review, rubric-based evaluation, benchmarking, and model quality testing.
Human-generated and human-annotated text, image, audio, video, and multimodal datasets for training and improving AI systems.
Native-language data collection, transcription, translation, evaluation, cultural localization, and linguistic quality assurance—with particular strength in African languages and contexts.
Human demonstrations and workflow data for training AI agents to perform research, customer support, back-office operations, computer-use tasks, and other real-world digital workflows.
Managed human intelligence
Wazora combines the scale of a distributed contributor network with the quality controls of a managed service.
Source talent aligned to project requirements.
Verify language, reasoning, domain, and task-specific capabilities.
Prepare contributors using project-specific instructions and qualification exercises.
Route work to qualified contributors and manage production.
Apply multi-level quality assurance and performance monitoring.
Provide validated outputs according to customer specifications.
African language intelligence
Much of the world's linguistic and cultural knowledge remains underrepresented in AI training data. Wazora helps AI systems better understand the languages, dialects, accents, and contexts of emerging markets.
Target & developing coverage
These represent target and developing capabilities. Active production capacity is confirmed per project during scoping — we do not claim live coverage in every language.
Enterprise engagement
Every engagement begins with a focused pilot, so quality and operational fit are proven before volume grows.
Tell us the task, quality requirements, language, expertise, volume, and timeline.
Wazora assembles and qualifies a focused team for a controlled pilot.
Measure accuracy, consistency, turnaround time, and operational fit.
Expand the qualified workforce as demand grows.
For talent
Wazora is building a network of talented people who want to contribute their knowledge, judgment, language skills, and professional expertise to the development of better AI.
Evaluation, research, annotation, data collection, transcription, and structured digital tasks.
Native speakers, translators, linguists, transcribers, and cultural experts.
Professionals and graduates in areas such as finance, accounting, law, engineering, science, mathematics, healthcare, and research.
Software engineers, developers, data professionals, and other technical specialists.
Wazora opportunities are for adults aged 18 and over. Project availability, eligibility, and compensation may vary by location, expertise, and customer demand.
Join the Wazora NetworkWazora Academy
Coming soonWazora Academy is our vision for preparing emerging talent for the AI economy through practical training, assessments, and project-specific qualifications.
Practical foundations for AI work.
Assessments and project qualifications.
Join live projects as capacity opens.
Why Wazora
Structured qualification, review, and QA processes.
More accountability than an anonymous crowd.
Build teams around changing project requirements.
Developing deep coverage across African markets.
Create pathways for talented people to participate in the global AI economy while delivering commercial value to customers.
About
Wazora was created around a simple idea: the next generation of artificial intelligence should benefit from a broader range of human knowledge, languages, cultures, and expertise.
We are building the infrastructure to connect exceptional human talent with organizations developing the world's AI systems.
Our ambition begins in Africa and extends globally.
Start with a controlled pilot and scale on evidence.