Building Smart Talent Through Opportunity
Structured Workforce Solutions for Digital and Data Excellence
We organize skilled professionals into disciplined, supervised teams that deliver reliable multimodal annotation, RLHF evaluation, and AI safety services with precision and accountability.
About Stalwart
Stalwart Tech Solutions is a managed workforce and digital services company based in Nairobi, Kenya.
We specialize in multimodal data annotation, AI model alignment (RLHF), and domain-focused technical writing. Our approach is built on clarity, discipline, and defined operational standards.
We do not operate as a freelance marketplace. We function as a structured workforce partner — organizing skilled professionals into supervised teams that deliver consistent, high-quality results for AI development and data integrity pipelines.
Vision
To establish a disciplined and respected workforce solutions company where structured expertise delivers dependable value across industries.
Mission
To organize skilled professionals into structured, supervised teams that deliver reliable digital and data services, while maintaining clear standards of quality, accountability, and professional growth.
Core Service Areas
Scalable, quality-controlled human intelligence for foundational AI models and data pipelines.
RLHF & Model Alignment
Evaluating and ranking AI responses for truthfulness, helpfulness, and safety to align model behavior with human values.
Multimodal Visual Labeling
Complex dataset annotation across images and video, focusing on object recognition, spatial relationships, and temporal actions.
AI Safety & Red Teaming
Stress-testing models to uncover potential biases, security vulnerabilities, and detrimental content generation prior to deployment.
SME Prompt Engineering
Designing multi-step reasoning instructions and crafting technical documentation bridging human expertise and machine learning.
Fact-Checking & Validation
Auditing AI-generated outputs for grounded accuracy and technical integrity to deliver high-quality, hallucination-free datasets.
Linguistic & Speech Analysis
Refining audio and text data through precise transcription, dialect identification, and granular sentiment labeling.
Security & Data Integrity
Enterprise-grade data handling and confidentiality protocols.
We understand that handling proprietary AI training datasets requires absolute trust. Our operations are structured around strict access controls, confidentiality, and verifiable quality loops to ensure your data is secure and accurate.
- Strict NDA Compliance: All talent pool members operate under legally binding non-disclosure agreements before accessing any project details.
- Isolated Environments: Secure, tightly controlled data handling workflows ensure client information never leaves designated workspaces.
- Multi-Tier QA: Rigorous Quality Assurance structures and multi-step reviews guarantee structural and factual data integrity prior to delivery.
Careers & Opportunities
Join our structured talent pool and contribute to high-standard digital projects.
Talent Pool Registration – Data & Digital Services
Stalwart Tech Solutions is building up its workforce capacity in terms of structure for ongoing and upcoming digital projects. We are developing a disciplined talent pool, interested in adding to high-standard data and documentation flows of work.
We are currently on-boarding talent in the following areas:
- Multimodal Visual Labeling: Labeling of complex datasets in images and videos with an intelligent focus on computer vision methods such as object recognition, detection of spatial relationships, and temporal actions.
- Linguistic & Speech Analysis: Refining audio & text data by precise transcription, dialect identification, sentiment labeling, etc., towards enhanced natural language understanding.
- Fact-Checking & Data Validation: Auditing artificial intelligence generated outputs for grounded accuracy and technical integrity to deliver high-quality and hallucination-free datasets.
- Writing According to Subject Matter Expert (SME): Crafting prompts and technical documentation of high-level insights bridging the gap between human expertise and machine learning.
- Human Feedback & Model Ranking (RLHF): Evaluating and ranking responses provided by AI models with respect to truthfulness, helpfulness, and safety to align model behavior with human values.
- Adversaries Testing & Safety (Red Teaming): Stress-testing models to uncover potential biases, security vulnerabilities, or detrimental content generation before the model is deployed.
- Human-centric Strategic Prompt Engineering: Designing and testing complex, multi-step sets of instructions to help measure the ability of models to reason through professional tasks.
Relevant experience in data annotation, AI evaluation, or structured documentation is an advantage. However, candidates without prior experience are also welcomed to apply; we will find the right fit for you. All selected individuals receive an onboarding structure, examples, and performance-guided supervision. Engagement is project-based and aligned with defined quality standards.
We encourage applications from professionals that demonstrate precision, reliability, and the ability to follow detailed guidelines.
Contact
Let’s discuss your workflow, quality requirements, and capacity needs.