stanslous User
@stansloususer
AI Data Trainer and LLM evaluator specializing in STEM prompt engineering and high-accuracy annotation.
What I'm looking for
I am an AI Data Trainer and LLM evaluator with a strong foundation in Applied Mathematics and Physics, bringing over two years of hands-on experience improving large language models through guideline-based evaluation, RLHF-style ranking, and high-accuracy data annotation.
I have evaluated AI-generated content for accuracy and clarity, created and reviewed technical prompts in mathematics, physics, and engineering, and contributed to large training datasets while working with platforms such as Appen, Remotasks, Outlier, and Labelbox. My work includes text classification, image labeling, content & safety labeling, and designing prompts for scientific and academic datasets.
I hold an MSc in Applied Mathematics with a focus on computational modelling and machine learning, have published research on predictive engineering, and have taught undergraduate mathematics and physics—bringing a disciplined, research-driven approach to model alignment and data quality.
Experience
Work history, roles, and key accomplishments
Evaluated AI-generated content for accuracy, clarity, and guideline compliance, performed structured text and image annotation, and wrote technical prompts in mathematics, physics, and engineering to improve model alignment.
Gen AI Trainer
Remotasks / Outlier
Jan 2023 - Present (2 years 11 months)
Rated and analyzed AI model responses, conducted RLHF-style ranking tasks, and created high-quality STEM prompts while contributing to large, high-accuracy training datasets.
Transcriber & AI Prompt Writer
Freelance
Jan 2023 - Present (2 years 11 months)
Delivered technical and academic transcriptions with up to 98% accuracy and designed prompts for scientific and academic training datasets, meeting strict deadlines and quality standards.
Mathematics & Physics Tutor
University of Nairobi
Jan 2021 - Dec 2022 (1 year 11 months)
Tutored undergraduate students in advanced mathematics and physics, developed study materials and problem sets, and guided simulation sessions to improve student outcomes.
Graduate Research Assistant
University of Nairobi
Jan 2021 - Dec 2022 (1 year 11 months)
Developed computational models for predictive engineering analysis, conducted optimization and data-driven simulations, and published findings in academic journals through interdisciplinary collaboration.
Education
Degrees, certifications, and relevant coursework
University of Nairobi
Master of Science, Applied Mathematics
2022 - 2023
Completed an MSc in Applied Mathematics with focus on computational modelling, machine learning, and data analysis; thesis on mathematical modelling of AI algorithms for predictive engineering.
University of Nairobi
Bachelor of Science, Physics
2018 - 2021
Completed a Bachelor of Science in Physics with specialization in computational physics and a minor in data science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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