AI Wakforce

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About Us

Our Mission

Our primary mission is to combat unemployment across Africa by tapping into the continent’s latent talent and creating substantial job opportunities in the booming data and tech industry. We recognize the potential of Africa’s youth and are committed to investing in their future.

Our Vision

We envision a future where every individual in Africa is empowered with the necessary skills for the 21st-century digital economy. We strive to bring African talent to the forefront of the global tech industry, decreasing unemployment rates and stimulating economic growth across the continent.


Who We Are

AI Wakforce is a premier data annotation firm providing high-quality, custom training datasets for Artificial Intelligence (AI) and Machine Learning (ML) technologies. Founded in 2020, we are steadfast in our belief in the transformative power of AI to address societal challenges.

What We Do

As a data annotation company, AI Wakforce provides essential training data that forms the foundation of AI and ML systems. We specialize in converting raw data into enriched, structured datasets that can be leveraged to train sophisticated AI and ML models.

Our clients range from AI startups to global tech giants, who appreciate our meticulously annotated data, stringent quality assurance processes, and commitment to data privacy.

Our Core Values

We have created an all-inclusive and diverse community that supports and cares for each other.

High Quality

Commitment to maintaining the highest quality standards in data annotation and validation for accurate, efficient, and reliable machine learning outcomes.

Respect for Privacy

Uphold stringent standards for data privacy and security, respecting the confidentiality and privacy of all client data.


The ability to handle projects of all sizes, while maintaining consistent quality and accuracy in results.


Continuous pursuit for advanced, creative, and more efficient ways to annotate and manage data to ensure the most effective machine learning and AI models.

Our Commitment to SDGs

AI Wakforce is a staunch supporter of the United Nations’ Sustainable Development Goals (SDGs). We understand that responsible and ethical use of AI technology plays a pivotal role in achieving these goals. Our focus extends to:

Goal 1: No Poverty

By offering well-paid, secure employment opportunities in the data and tech industry, we aim to lift individuals and families out of poverty.

Goal 4: Quality Education

We invest in the training and education of our employees, equipping them with critical digital skills that are increasingly sought-after worldwide.

Goal 8: Decent Work and Economic Growth

We tirelessly strive to stimulate economic growth by generating job opportunities and promoting inclusive and sustainable economic growth.

Goal 9: Industry, Innovation, and Infrastructure

Through our innovative data solutions, we contribute to the development of resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation.

Goal 13: Climate Action

We are acutely aware of our responsibility towards the environment. We strive to reduce our carbon footprint through efficient operational practices and endorse the use of AI in developing solutions to environmental challenges and climate change.

Why We Exist

In the backdrop of rapid technological advancement and increasing automation, the demand for high-quality data to train AI systems is booming. Simultaneously, African nations, with their thriving young populations, face substantial unemployment challenges. AI Wakforce exists at this crucial intersection.

Our company is not just a business; it’s a movement. We are here to combat unemployment in Africa, offer an opportunity for the youth to be part of the global tech revolution, and contribute to the UN’s Sustainable Development Goals. Through our work, we aim to bring about positive social change, economic growth, and technical innovation to the forefront of African society.

Together, we are building a more prosperous, equitable future for Africa – one data point at a time.

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