Building the workforce behind reliable software and trusted AI systems.
95%
Placement Rate
93%
Employers would host another cohort
68%
Conversion to Employment
AfriQA Talent Evaluation
AfriQA Performance Snapshot
AK
Aisha K.
Quality Engineer
Week 3 of 4
Performance Highlights
13High-Severity Bugs Identified
18Automated Regression Checks Added
12API Test Scenarios Added
Employer Readiness Score
8.8 / 10
RECOMMENDED
Certified Social Enterprise UKPeople + Planet First VerifiedGood Market ApprovedPart of the MovingWorlds Global EcosystemCertified Social Enterprise UKPeople + Planet First VerifiedGood Market ApprovedPart of the MovingWorlds Global EcosystemCertified Social Enterprise UKPeople + Planet First VerifiedGood Market ApprovedPart of the MovingWorlds Global Ecosystem
Talent is universal. Opportunity should be.
We exist to close the opportunity gap.
AfriQA creates structured pathways that connect African university talent to global opportunities in Quality Engineering and AI Assurance.
Verified and recognised across global impact networks
The gap is not talent. It is the pathway to decent work.
Africa has no shortage of talented graduates. Most initiatives stop at certificates. Employers hire for proven capability, and capability is built through real work, experience, and feedback.
AfriQA bridges that gap.
Talent Infrastructure for Trusted Digital Systems
From potential to proven capability.
AfriQA partners with African universities and global employers through a clear three-step model.
01
Source
Identify high-potential talent through university partnerships and selective applications.
02
Develop
Build practical capability through structured internships, apprenticeships, mentorship, and hands-on software quality projects.
03
Deploy
Connect employers with work-ready talent who have demonstrated Quality Engineering and AI Assurance capability through real projects.
University Talent→AfriQA Pathway→Real-World Projects→Employer-Ready Talent
Performance-Based Hiring
Why this model exists
Traditional hiring evaluates potential. AfriQA evaluates performance.
AfriQA enables employers to evaluate talent through structured internships and apprenticeships embedded within their own teams. Engineers contribute inside real delivery environments while receiving structured guidance, feedback, and performance support.
Instead of making assumptions about capability, employers gain direct evidence of performance, reliability, collaboration, and learning agility before making hiring decisions.
01
Deploy
Deploy talent into structured delivery environments.
02
Evaluate
Assess contribution through actual output, collaboration, and feedback.
03
Decide
Continue the placement, extend the engagement, hire permanently, or build a longer-term talent pipeline based on demonstrated capability.
95%
Placed into structured work experiences
85%
Placement Extensions
67%
Converted to Employment
92%
Employers would host another cohort
Why organisations choose us
Outcomes from employers, talent, and industry partners.
AfriQA connects African talent with global employers through pathways that build capability, create opportunity, and deliver quality.
"
Hiring an intern via AfriQA has been a game changer for our Quality Engineering function.
Katherine Haigh
QA Manager, Xtract360
"
AfriQA helped us think beyond one hire. It gave us a repeatable pipeline of Quality Engineering talent aligned to our needs.
Jude Chiy
Founder & CEO, Flamingo
"
AfriQA's focus on Quality Engineering and AI Assurance is exactly what modern AI teams need: talent that understands reliability, validation, and trust from the start.
James Gador
EvidenceOS
"
What began as an internship opportunity has developed into a much longer journey, with my placement being extended several times.
Quality Engineering Intern
Xtract360
The talent perspective
Discovered AfriQA through a webinar
Progressed from attendee to professional placement
Built automation skills in a real delivery team
Placement extended multiple times based on performance
Who we work with
Built for employers. Trusted by universities. Powered by talent.
Employers
30 days of real work before a single hiring decision.
Embed a pre-assessed Quality Engineer into your sprint workflow. Observe real output, collaboration, and delivery performance before deciding whether to hire.
Universities
The one thing a degree alone can't provide.
Connect high-potential students to structured, real-world pathways that bridge academic learning and professional practice.
Talent
From African university to global engineering team.
Build practical experience, demonstrated capability, and employer confidence through structured pathways into Quality Engineering and AI Assurance.
Schools
Where future Quality Engineers get their start.
Introduce students aged 14-18 to software testing, automation, and AI quality engineering through industry exposure and early-career programmes.
Recognition & Ecosystem Partners
Verified and recognised.
Building trusted pathways into Quality Engineering and AI Assurance through collaboration with employers, universities, and ecosystem partners.
Ready to build?
Build the workforce behind trusted software and AI.
AfriQA contributes to the UN Sustainable Development Goals through education, workforce development, equitable access to opportunity, and global partnerships.
SDG 4 • SDG 5 • SDG 8 • SDG 10 • SDG 17
For Employers
Hire Quality Engineers evaluated through 30 days of real work — before you decide.
30-day
Performance evaluation
93%
Employers would host another cohort
3x
Faster ramp-up
AfriQA Talent Evaluation
AfriQA Talent Evaluation
AK
Aisha K.
Quality Engineer
Week 3 of 4
Performance Highlights
High-severity bugs identified
13
Automated regression checks added
18
API test scenarios added
12
Employer Readiness Score
8.8 / 10
RECOMMENDED
AfriQA Managed Testing Network
Real users. Real environments. Real-world quality assurance.
Test software across devices, browsers, operating systems, locations, and real-world user scenarios.
How We Engage
Three ways to work with AfriQA.
Each engagement model uses the same performance-validated talent. The right choice depends on what your team needs.
Model 01 — Individual Apprentices
Embed engineers into your team
Best for teams with QE leadership already in place who need capable, tested execution resource embedded into their sprint workflow.
1–3 engineers deployed individually
Works within your existing toolchain
30-day risk-free evaluation
Convert to hire after validation
No recruitment fee if you don't convert
Model 02 — QE Pod
A fully managed QE unit
Senior QE Pod Lead plus two performance-validated apprentices. Structured, supervised, and ready to deliver from day one with minimal client overhead.
Senior Pod Lead (US / UK / EU)
2 performance-validated apprentices
Optional rotating shadow engineer
Fully managed delivery
Scales to employer-sponsored cohorts
Model 03 — Testing Network
Managed Testing Network
Commission structured testing across real devices, environments, and user scenarios. Managed by QE professionals. Delivered by trained AfriQA talent.
Real devices, browsers, and OS environments
African market coverage
Managed by experienced QE leads
AI feature validation included
Builds employment pathways for talent
30-Day Performance Evaluation
See before you commit. Hire because you're sure.
A structured evaluation process that gives employers visibility into real-world performance before making a hiring decision.
Week 1–2
Integration & contribution
The engineer joins your team, integrates with your tools and workflows, and begins contributing to sprint objectives from day one.
Week 3
Structured midpoint review
Structured midpoint review assessing technical contribution, reliability, collaboration, and delivery against agreed evaluation criteria.
Week 4
Performance summary & recommendation
Comprehensive performance summary delivered, including manager feedback, contribution evidence, and hiring recommendation.
What's included
Quality Engineer embedded within your team
Integration with your tools, workflows, and ceremonies
Structured performance evaluation framework
Ongoing support from the AfriQA team
End-of-evaluation performance report
No obligation to hire at the end of the evaluation period
After the evaluation
You hire because you know.
No CVs, no interviews, no guesswork. The evaluation is the evidence. You convert because performance is proven — or you don't, with no recruitment fee charged.
Quality Engineering talent that performs — evaluated before you hire.
For Universities
Create structured pathways from study into global software quality careers.
Create structured pathways from technical education into Quality Engineering and AI Assurance careers with global employers.
Applied Labs
Practical learning connected to real-world testing, automation, and AI validation challenges.
Curriculum Support
Employability-aligned content that supports universities without replacing academic teaching.
Student Pathway
University → AfriQA pathway → internship → apprenticeship → global engineering teams.
Employer-Linked Projects
Students work on real briefs set by employer partners, building portfolios that signal readiness.
Performance Portfolios
Evidence of output, learning speed, collaboration, and delivery readiness that travels with the student.
Pilot
Credit-bearing pathways
AfriQA is working with select university partners to make Academy training credit-bearing. Students earn academic recognition for completed modules alongside employer-validated performance evidence. Limited places.
What universities gain
Real employment outcomes, not just training certificates.
Employability pathways
Students gain structured routes into Quality Engineering and AI Assurance roles with global employers — not just credentials.
Graduate outcome data
Track placement rates, employer extensions, and performance data to strengthen institutional rankings and accreditation cases.
Employer relationships
Access AfriQA's employer network across the UK, US, and EU for student projects, internships, and full placements.
Curriculum alignment
AfriQA supports without replacing. We align to your academic programmes and add practical, employer-facing dimensions.
Ready to create structured pathways for your students?
For Talent
Join a pathway into Quality Engineering and AI Assurance.
For students, graduates, and emerging engineers ready to build practical capability through mentorship, real projects, internships, and apprenticeships with global employers.
Pathways
Build evidence, not just certificates.
Pathway 01
Quality Engineering
Testing, automation, API testing, regression testing, sprint QA, defect reporting, and delivery readiness.
Test automation frameworks
API and integration testing
CI/CD quality gates
Sprint participation and release sign-off
Pathway 02
AI Assurance
AI feature validation, LLM output evaluation, prompt risk testing, model behaviour checks, and trust in AI systems.
LLM output validation
Prompt reliability testing
Non-deterministic system evaluation
AI feature quality documentation
Your journey
From university to global engineering teams.
01
Apply
Selective application. Top 20% of applicants progress based on aptitude and commitment.
02
Train
Structured foundations in practical QE, communication, collaboration, and employer expectations.
03
Intern
Contribute to real delivery environments with mentorship, feedback, and practical QA tasks.
04
Apprentice
Deeper employer exposure, performance portfolios, and direct evaluation from global teams.
From the pathway
"
Working with the Xtract360 team has helped me build confidence, strengthen my automation skills, and develop the teamwork and communication skills needed to succeed in industry.
Quality Engineering Intern
Xtract360 — via AfriQA pathway
What the pathway delivered
Real automation skills built in a delivery team
Confidence working with global employers
Communication and teamwork in a professional environment
Placement extended multiple times on merit
Ready to build your career in Quality Engineering?
About AfriQA
Building the workforce behind trusted software and AI.
AfriQA exists to close the gap between talent and opportunity.
Academy
Build Quality Engineering capability through real projects and employer-validated experience.
Our Academy is an employer-integrated pathway into Quality Engineering and AI Assurance careers. Build capability through structured training, mentor support, and real projects.
The Model
Source → Develop → Deploy proven talent
Our model connects talent with real opportunities. Identify high-potential candidates, embed them in real delivery teams for hands-on experience, then hire based on demonstrated performance rather than assumptions.
Africa has one of the fastest-growing technical workforces in the world. Yet many talented graduates struggle to access the experience, mentorship, and performance evidence that employers require. At the same time, employers face growing demand for Quality Engineering and AI Assurance capability.
Why we exist
To unlock African engineering talent for the world.
There is no shortage of technical talent. The challenge is the transition from learning to employment.
Too many pathways end with training alone. Potential opens doors, but demonstrated capability creates opportunities. AfriQA builds the missing middle between education and employment by creating environments where talent can gain practical experience, develop professional skills, and produce evidence of performance that matters in real-world delivery.
Our model creates value for both employers and talent. Employers gain access to work-ready Quality Engineering and AI Assurance capability, while emerging engineers gain the experience, mentorship, and opportunities needed to build sustainable careers.
What we build
Trusted software. Trusted AI. Trusted talent.
Quality Engineering
Trusted Software
Building quality into the software delivery lifecycle through testing, automation, risk management, and continuous improvement practices that support reliable software and trusted releases.
AI Assurance
Trusted AI
Supporting trust in AI-enabled systems through evaluation, validation, risk assessment, and responsible quality practices.
Workforce Readiness
Trusted Talent
Preparing emerging engineers for professional environments through real-world projects, mentorship, practical experience, and structured performance evaluation. The result is demonstrated capability, workplace readiness, and stronger pathways into employment.
Our mission
Connecting learning, experience, and evidence.
To develop and connect Quality Engineering and AI Assurance talent through structured pathways that combine learning, real-world experience, and performance evidence — bridging the gap between potential and opportunity.
Our vision
We believe talent is universal. Opportunity should be too.
A future where African engineering talent powers reliable software and trusted AI systems.
Impact & Accountability
From technical potential to meaningful work.
AfriQA is building pathways that turn technical potential into proven capability and meaningful work.
Our model is designed to create value for employers, universities, and emerging engineers by connecting learning with real projects, mentorship, workplace experience, and performance evidence.
Our focus
Expanding access to Quality Engineering and AI Assurance careers
Helping employers evaluate capability through real work
Supporting universities with employability-linked pathways
Building evidence of workplace readiness, not just training completion
These recognitions reflect AfriQA's commitment to creating economic opportunity through responsible, impact-driven workforce development.
Impact Alignment
Contributing to the Sustainable Development Goals.
AfriQA contributes to the UN Sustainable Development Goals through education, workforce development, equitable access to opportunity, and global partnerships.
Build the workforce behind trusted software and AI.
AfriQA Managed Testing Network
Real users. Real environments. Real-world quality assurance.
Access a distributed network of AfriQA Quality Engineering talent to test software across devices, browsers, operating systems, locations, and real-world user scenarios. Managed by experienced Quality Engineering professionals.
What We Test
Web Applications
Mobile Applications
APIs & Integrations
AI-Powered Features
Multi-Device Experiences
Cross-Browser Compatibility
Coverage Areas
Devices
Browsers
Operating Systems
Network Conditions
Geographic Markets
Accessibility
Why organisations choose it
Real users. Real-world insight.
Test where your customers are.
Understand how products perform in the environments where people actually use them. Identify issues related to connectivity, device diversity, user behaviour, localisation, and mobile-first experiences before they affect customers.
More coverage. Less overhead.
Expand testing coverage across multiple devices, operating systems, browsers, and user environments without building or maintaining your own distributed testing infrastructure.
Managed by QE professionals.
Every engagement is coordinated by experienced Quality Engineering leads who ensure structured execution, quality control, defect validation, and actionable reporting.
African market readiness.
Validate products across diverse user environments and emerging digital economies. Ideal for organisations launching, expanding, or supporting customers across Africa.
Practical experience. Real outcomes.
Testing engagements create meaningful opportunities for university students and emerging Quality Engineers to gain hands-on experience while delivering value through structured, professionally managed testing activities.
Ideal for
Test where your users are.
Gain access to real users, devices, networks, and usage environments across African markets.
Mobile application testing
Validate performance and usability across a wide range of devices, operating systems, and network conditions.
AI-powered application testing
Evaluate outputs, validate behaviour, identify edge cases, and assess trust and reliability across diverse scenarios.
Browser & device compatibility
Test applications across devices, browsers, and OS versions representative of mobile-first digital economies.
User Acceptance Testing
Real user feedback on UX, functionality, usability, and accessibility without the risk of negative public exposure.
Digital Payments & Fintech
Test user journeys, transaction flows, onboarding experiences, and regional payment interactions.
Market readiness testing
Understand how products perform across African user environments, connectivity conditions, and usage patterns before launch.
How it works
Structured. Managed. Scalable.
01
Define
We work with your team to understand the application, target users, environments, devices, and testing objectives.
02
Deploy
Testing is coordinated through a distributed network of trained AfriQA testers operating across real devices, browsers, and user environments.
03
Validate
Issues are documented, reproduced, prioritised, and reviewed through structured Quality Engineering processes.
04
Report
You receive consolidated findings, actionable recommendations, and quality insights from a dedicated Quality Engineering lead.
Outcomes
What organisations gain.
Broader test coverage
Test across more devices, browsers, operating systems, and environments than most internal teams can maintain.
Faster defect discovery
Identify issues before they reach customers with structured, managed testing processes.
Greater release confidence
Validate quality under real-world conditions before every release.
Reduced internal overhead
Scale testing capacity without expanding permanent headcount.
African market readiness
Understand how products perform across African user environments before launch.
Social impact built in
Every engagement contributes to practical experience and employment pathways for the next generation of Quality Engineers.
Ready to access managed testing across African markets?
Model 02 — QE Pod
A fully managed Quality Engineering unit — ready to deliver from day one.
A Senior QE Pod Lead plus two performance-validated apprentices. Structured, supervised, and built to integrate into your delivery environment with minimal client overhead.
What's in a QE Pod
One unit. Full coverage.
Every QE Pod includes a Senior Lead and two performance-validated apprentices — self-sufficient and delivery-ready.
Pod Lead
Senior QE Lead
Based in the US, UK, or EU. Manages delivery, mentors apprentices, owns quality strategy, and is your primary point of contact.
Test strategy ownership
Sprint quality gates
Stakeholder communication
Apprentice supervision
Core Engineers
2 Performance-Validated Apprentices
Pre-assessed through the AfriQA evaluation framework. Embedded into your sprint workflow with proven delivery capability.
Automation and regression testing
API and integration testing
Defect identification and reporting
Performance-validated prior to placement
Optional
Rotating Shadow Engineer
An additional engineer in observation mode. Builds context and continuity, and readiness to scale the pod or cover leavers.
Continuity and resilience
Training pipeline built in
Employer-sponsored cohort pathway
Who it's for
Built for teams that need QE to just work.
No in-house QE lead
You need someone to own quality end-to-end — not just execute tasks under your direction.
Scaling delivery fast
You need QE coverage across multiple sprints without running a hiring process or expanding permanent headcount.
Social impact matters
You want QE delivery that also builds employment pathways for African engineering talent — with structured mentorship built in.
Ready to deploy a fully managed QE Pod?
Contact AfriQA
Let's start the right conversation.
Whether you're ready to hire, partner with AfriQA, join the pathway, become a mentor, explore the academic credit pilot, commission testing, or ask a general question — choose the right route below.
Send an enquiry
FAQ
Answers by audience.
Practical answers for employers, universities, talent, and schools.
For Employers
How does the 30-day evaluation work?
An AfriQA engineer integrates into your team from week one, contributing to real sprint work. You receive a structured midpoint review at week three and a full performance summary at week four. There is no obligation to convert.
What if the engineer isn't a good fit?
You are never obligated to extend or hire. If the fit isn't right, the evaluation ends with no recruitment fee charged. AfriQA can present alternative candidates if needed.
What tech stacks do your engineers work with?
AfriQA engineers are trained across common QA toolchains including Playwright, Selenium, Cypress, Jest, GitHub Actions, Postman, and more. We align to your existing stack before deployment.
Is there a recruitment fee?
No recruitment fee is charged if you do not convert after the evaluation. Fee structure applies only on successful conversion or extended placement.
For Universities
Does AfriQA award academic credit?
AfriQA does not award degrees or academic credit unless formally agreed with an accredited institution. We complement academic programmes without replacing them.
What does a university partnership involve?
Partnerships are tailored. Options include applied labs, curriculum support, employer-linked projects, and structured student pathways into internships and apprenticeships.
How do we measure outcomes?
AfriQA tracks placement rates, employer extensions, and performance portfolio data. Universities receive outcome reporting to support accreditation and employability rankings.
For Talent
Who is eligible to apply?
AfriQA's pathway is open to African university students and graduates with an interest in software quality and AI assurance. Selection is competitive — top 20% of applicants progress.
Do I need prior experience?
No prior professional experience is required. AfriQA selects on aptitude, commitment, and learning potential. Training foundations are built through the programme.
What is Global Mobility?
Global Mobility is an invitation-only progression for exceptional performers after strong placement results. It is not an open application, not a guaranteed visa pathway, and only available where formally arranged with employers or partners.
For Schools
What age groups does the Schools Programme cover?
The programme is designed for students aged 14–18, with age-appropriate activities at each stage. Career discovery for 14–16 and early technical skills for 16–18.
How do schools get involved?
Schools contact AfriQA through the enquiry form. We discuss curriculum fit, logistics, and the right entry point for your students before any commitment.
Still have questions?
Schools Programme
Building the Next Generation of Quality Engineers
Introducing students aged 14–18 to the careers behind trusted software and AI through industry-led experiences, practical challenges, and exposure to the people and technologies shaping the digital economy.
500+
Students Reached
4
Career Fairs
3
Hackathons
Why Quality Engineering?
Trusted software powers modern life.
From banking and healthcare to AI and digital services, Quality Engineers help ensure technology works safely, reliably, and as intended.
They are the professionals who help organisations build confidence in the software and AI systems people depend on every day.
AfriQA Schools introduces students to the careers, skills, and opportunities shaping the trustworthiness of modern digital systems.
What Students Experience
Explore technology careers before choosing what comes next.
Career Discovery
14–16
Explore how software is tested, how AI systems are evaluated, and why quality matters in the digital products people use every day.
Foundations in Software Quality
16–18
Build foundational knowledge in software testing, automation, and AI quality through guided, age-appropriate learning experiences.
Global Classroom
Connect with students, educators, and industry professionals across Africa, the UK, and beyond through collaborative technology and AI-focused activities.
Applied Challenges
Participate in hackathons, bug-finding challenges, software testing exercises, and quality-focused projects that make technology careers tangible and engaging.
Industry Exposure
Learn directly from Quality Engineers, AI Assurance practitioners, and technology professionals working in global teams.
Future Pathways
Discover routes into higher education, internships, apprenticeships, and careers in Quality Engineering, AI Assurance, and Digital Engineering through the broader AfriQA ecosystem.
Students gain insight into the technologies shaping modern life and the careers responsible for ensuring digital systems can be trusted.
02
Experience
Through workshops, challenges, and industry-led activities, students develop practical understanding of software quality engineering and AI assurance.
03
Connect
Students engage with professionals, mentors, schools, and organisations across the technology ecosystem.
04
Explore Pathways
Students interested in technology careers gain visibility into future learning pathways, internships, apprenticeships, and opportunities within the wider AfriQA talent ecosystem.
The Careers Behind Trusted Technology
Quality Engineering is one of the most important disciplines in modern technology.
As software and AI become increasingly central to society, organisations need professionals who help ensure digital systems remain trustworthy, reliable, and fit for purpose.
Deliver reliable software
Build confidence in AI systems
Improve user experiences
Reduce technology risk
Support innovation at scale
Strengthen digital trust
AfriQA Schools helps students understand how these careers contribute to the digital economy and why demand for these skills continues to grow globally.
Who We Work With
Built with schools, educators, and industry.
Schools
Partnering with schools to expand awareness of technology careers and create meaningful industry engagement opportunities.
Industry Professionals
Connecting students with practitioners who bring real-world perspectives into learning experiences.
Technology Organisations
Building bridges between education and the future workforce needs of the digital economy.
Universities
Creating visibility into future education and career pathways for students interested in technology, Quality Engineering, and AI Assurance.
Frequently Asked Questions
Schools Programme FAQ
Who can participate?
Students aged 14–18 who are interested in technology, problem-solving, innovation, and future career opportunities.
Do students need programming experience?
No. The programme is designed to introduce students to the field and does not require prior technical knowledge.
Is this a training programme?
No. AfriQA Schools is a career discovery and industry awareness initiative designed to expose students to opportunities within software quality engineering, AI assurance, and digital engineering.
What happens after participation?
Students can continue exploring technology and engineering pathways through further education, industry engagement opportunities, and future programmes within the wider AfriQA ecosystem.
Schools Programme
Help Shape the Future Workforce Behind Trusted Technology
Whether you're a school, educator, industry partner, or community organisation, work with AfriQA to introduce young people to the careers building trusted software and AI.
AfriQA Academy
Build Quality Engineering capability through real projects and employer-validated experience.
The AfriQA Academy is an employer-integrated pathway into Quality Engineering and AI Assurance careers. Structured training, mentor support, and real project experience — all leading to a performance portfolio employers trust.
What the Academy offers
From learning to employment — with evidence.
The Academy moves beyond certificates. You build practical skills inside real delivery environments and leave with a portfolio that demonstrates what you can actually do.
01
Structured Training
Practical foundations in Quality Engineering, test automation, API testing, and AI Assurance — designed around what employers actually need.
02
Mentor Support
Ongoing guidance from experienced QE professionals who understand both the technical requirements and the realities of working in global delivery teams.
03
Real Projects
Contribute inside live employer environments. Work on actual production systems, sprints, and QA tasks — not simulated exercises.
04
Performance Portfolio
Leave with evidence of what you did, how you performed, and what employers observed — a portfolio that travels with you throughout your career.
Pathways
Two specialist tracks.
Choose the pathway that matches your interests and career direction. Both lead to employer placements and performance-validated hiring opportunities.
Track 01
Quality Engineering
Testing, automation, API testing, regression testing, sprint QA, defect reporting, and delivery readiness.
Test automation frameworks
API and integration testing
CI/CD quality gates
Sprint participation and release sign-off
Track 02
AI Assurance
AI feature validation, LLM output evaluation, prompt risk testing, model behaviour checks, and trust in AI systems.
LLM output validation
Prompt reliability testing
Non-deterministic system evaluation
AI feature quality documentation
Who it's for
Built for university talent ready to go further.
Final-year students & recent graduates
Transition from academic study to professional QE with structured support and real employer exposure built into the programme.
Emerging engineers seeking specialisation
Develop a recognised specialist pathway in Quality Engineering or AI Assurance at a time when both are in growing global demand.
Talent from AfriQA university partners
Students from partner universities may be eligible for academic credit recognition for completed Academy modules alongside employer-validated performance evidence.
Academic Credit Pilot
AfriQA is working with select university partners to make Academy training credit-bearing. Limited places available.
From the pathway
"
What began as an internship opportunity has developed into a much longer journey, with my placement being extended several times. The experience has played an important role in my development as a Quality Engineering professional.
Quality Engineering Intern
Xtract360 — via AfriQA Academy
Ready to build a career in Quality Engineering?
The AfriQA Model
Source → Develop → Deploy proven talent
AfriQA connects African university talent with global employers through structured Quality Engineering and AI Assurance pathways.
AfriQA Model
Source → Develop →Deploy proven talent
AfriQA connects African university talent with global employers through structured Quality Engineering and AI Assurance pathways.
Develop
Engineers embedded in real teams — working on actual production systems and live QE projects from day one.
Source
CVs rarely show real capability. AfriQA identifies high-potential talent through university partnerships and selective applications.
Deploy Proven Talent
Hiring decisions follow real performance data. Every placement is backed by months of observed output — not assumptions.
University Talent→AfriQA Pathway→Real-World Projects→Employer-Ready Talent
How it works
Three stages. One outcome: proven capability.
The AfriQA model is built around a simple principle: talent should be evaluated through demonstrated performance, not assumed potential.
01
Source
Identify high-potential talent through university partnerships and selective applications. CVs rarely reveal real capability — our selection process looks for aptitude, commitment, and readiness to learn.
02
Develop
Engineers are embedded in real delivery environments — not simulated exercises. They work alongside experienced teams on actual production systems, live QE projects, and real customer problems from day one. Mentorship and structured feedback guide their growth.
03
Deploy
Employers make hiring decisions based on months of observed output — not interview performance or assumed capability. Placements are backed by comprehensive performance data, manager feedback, and direct evidence of delivery.
Why this model matters
For employers
No hiring risk
You hire because you've seen months of real output. The evaluation period is the hiring process — no guesswork, no assumptions.
Faster ramp-up
Engineers onboarded through AfriQA are already familiar with your systems, teams, and workflows. Day one of employment is day 30+ of deep integration.
Repeatable pipeline
Structured intake and performance-based evaluation means you can scale hiring without scaling risk. One successful hire can become a repeatable model.
Social impact
Every hire strengthens pathways into quality engineering careers for African talent. You're hiring capability and building the next generation.
For talent
Real experience
Work on actual production systems and real customer problems — not exercises. Build a portfolio that proves what you can actually do.
Structured mentorship
Learn from experienced engineers embedded in your team. Feedback is structured, intentional, and tied to real delivery outcomes.
Performance portfolio
Leave with evidence of what you did and what you learned — a portfolio that travels with you throughout your career and opens doors globally.
Clear pathways
Know exactly what's expected and what you're building toward. Progress is measured by output and learning, not time spent.
Ready to get started?
Get Started
How can AfriQA help you?
Choose your path to get started with the right information.
AfriQA Full Talent Evaluation
AK
Aisha K.
Quality Engineer — Week 3 of 4
RECOMMENDED
13High-severity bugs identified
18Automated regression checks added
12API test scenarios added
Skill Assessment
Test Design & Coverage9.1 / 10
Automation Proficiency8.4 / 10
Bug Reporting Quality9.2 / 10
Collaboration & Communication8.8 / 10
Delivery Mindset8.6 / 10
Mentor Assessment
Aisha consistently identifies high-priority defects early in the sprint cycle, reducing regression risk significantly. Her automation additions to the Playwright suite are clean, maintainable, and well-documented. She asks the right questions in standups and integrates feedback quickly. Strong recommendation to extend and convert.
