Built by Engineers
for AI Teams
RLHF for Code, structured reasoning, and domain-specific annotation delivered by professionals who understand what they evaluate.
The Adwuma Approach
Frontier models now generate functional code reliably. The differentiator has become engineering judgment—architecture decisions, performance trade-offs, and maintainability that separate production-ready code from working prototypes.
Models learn engineering judgment through RLHF feedback. Quality matters: feedback that evaluates trade-offs, edge case handling, and maintainability produces models with better judgment than simple correctness checking.
This is reasoning data. Not labels. Not binary pass-fail signals. Structured expert evaluation that captures why one solution outperforms another. The deliberate trade-off between readability and execution speed. The detection of latent bugs that surface only under precise conditions. The architectural instinct that separates a functional prototype from a production-ready system.
Producing data at this level of depth requires engineers—professionals who have designed, built, and maintained software in environments where failure carries consequence. Every technical annotator we hire holds a degree in Computer Science or Software Engineering
AdwumaTech was founded on this premise. Our workforce comprises software engineers directing their expertise toward AI training data infrastructure. The feedback they deliver carries the technical resolution that elevates capable models into exceptional ones.
Talent Architecture
Our recruitment pipeline draws from Ghana's leading computer science institutions—and from the professional software engineering workforce across West Africa's most dynamic technology ecosystem.
We do not train annotators to recognize code patterns. We hire engineers and channel their capabilities toward AI training data infrastructure.
Our selection mirrors the rigor your own technical hiring demands: algorithmic assessments, live code review exercises, debugging evaluations, and interviews designed to verify depth of comprehension. Candidates demonstrate engineering judgment before they join your projects.
The outcome is a workforce equipped for complex engagements from day one—and structured to develop mastery over time. When your AI initiatives require human feedback from professionals who understand software at the level your internal teams do, we deliver.
AI Developmental Teams
- Credentialed engineers and computer scientists from Ghana's premier institutions
- AI engineers, data scientists, and machine learning specialists
- Native English speakers with fluency in Western business communication
- Deep expertise across computer vision, NLP, generative AI, and RLHF pipelines
- High-retention professionals building careers through meaningful technical work
Data Language Specialist
- Native speakers spanning 20+ African languages and regional dialects
- Mastery of tonal systems, code-switching patterns, and contextual nuance
- Comprehensive annotation across text, audio, transcription, and NLP datasets
- Trusted by leading global companies delivering training data at scale and precision
Domain Experts
- Degree-qualified professionals across financial services, healthcare, and technical disciplines
- Fraud analysts and identity verification specialists contributing to Nokore AI development
- Specialists in structured reasoning and complex multi-step problem decomposition
- Career-driven professionals producing domain-specific reasoning data at depth
Our Talent Development Pipeline
Strategic Framework
Five pillars that create an unmatched value proposition for complex AI training data.
Qualified Technical Workforce
Our technical workforce holds degrees in Computer Science and Software Engineering from Ghana's leading institutions. They evaluate code with comprehension—identifying logic flaws, architectural weaknesses, and optimization opportunities.
Reasoning Data Architecture
Your models need more than labeled outputs—they need structured reasoning that teaches inference. Our teams produce explicit logic chains, multi-step problem decomposition, and trade-off analysis.
African Language Infrastructure
Native-speaking linguists across 20+ African languages deliver annotation, transcription, and NLP training data with fluency in tonal systems, regional dialect, and cultural context.
Domain Expertise at Scale
Professionals across financial services, healthcare, and technical disciplines produce reasoning data grounded in real-world application. Regulatory awareness. Clinical precision. Fraud pattern recognition.
Security and Confidentiality
Enterprise AI development operates under rigorous data governance requirements. NDA-protected engagements. Controlled environments. Audit-ready documentation. Your proprietary training data remains protected.
Ready to Experience Engineering Excellence?
Partner with AdwumaTech for technical depth and reasoning data that elevates your AI systems.