I’m looking for remote AI Trainer, Data Annotation, and QA roles where I can
apply my skills in LLM Evaluation, Prompt Engineering, and Quality Auditing.
I want to work on projects that improve AI safety, accuracy, and real-world impact.

@nomfundoshiba
23-year-old Swazi native | DataLens Certified in HITL QA, LLM Fine-Tuning, Prompt Engineering, Data Annotation & Model Evaluation. I audit data, eva
I’m looking for remote AI Trainer, Data Annotation, and QA roles where I can
apply my skills in LLM Evaluation, Prompt Engineering, and Quality Auditing.
I want to work on projects that improve AI safety, accuracy, and real-world impact.
Human-in-the-Loop QA Specialist | LLM Evaluation | Data Annotation
I’m a DataLens Academy Certified HITL QA Specialist passionate about building high-quality data that powers better AI.
For my capstone, I led a full quality audit of a 300-sample African Urban Street Scenes dataset. Using a 3-pass audit methodology, I achieved a 91.7% quality score, identified the top 3 error patterns causing 68% of issues, and delivered a corrective action plan projected to reduce errors by 46%.
My core skills include LLM Evaluation, Prompt Engineering, Guideline Calibration, Error Analysis, and Data Quality Management. I’m trained to review for accuracy, safety, bias, and helpfulness to ensure AI models meet human standards.
I’m currently seeking remote AI Trainer, Data Annotation, and QA roles with companies like Turing, Outlier, and TELUS.
Based in Eswatini. Open to global opportunities. Let’s connect if you’re building the future of AI. #OpenToWork
Work history, roles, and key accomplishments
Unknown Company
Jan 2026 - Present (9 months)
Led QA audit on a 300-sample computer vision dataset, achieving a 91.7% quality score using a 3-pass audit methodology. Identified top error patterns, performed root cause analysis, and delivered a QA report with recommendations projecting 46% error reduction.
Degrees, certifications, and relevant coursework
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