paul mwamburi

paul mwamburi

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Nairobi, Nairobi County, Kenya

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Starting at USD20/hour
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Résumé


Jobs verified_user 0% verified
  • Ajira Digital
    Data Annotator
    Ajira Digital
    Jan 2025 - Dec 2025 (1 year)
  • J
    Data Integrity Analyst
    Jitume
    Feb 2024 - Aug 2025 (1 year 7 months)
    As a Data Integrity Analyst, I performed due diligence on annotated datasets and AI-generated outputs by verifying accuracy, consistency, and compliance with project guidelines. I cross-checked data, identified discrepancies, and ensured that high-quality standards were maintained. Additionally, I conducted structured validation and quality assurance processes to support reliable AI training data and minimize errors. My experience also included leveraging platforms and dashboards often built with TypeScript frameworks to ensure the accuracy and consistency of enterprise data. This exposure to scalable, TypeScript-powered applications enhanced my structured problem-solving and integration skills, which are relevant to the development of robu
  • HP
    Microsoft & google workspace
    HP
    Feb 2024 - Mar 2025 (1 year 2 months)
    Managed enterprise-level Microsoft and Google Workspace solutions, ensuring seamless integration and functionality across platforms. Collaborated closely with developers to build extensions and dashboards utilizing TypeScript frameworks, which provided valuable exposure to scalable applications and reinforced my structured problem-solving skills. This experience, while not directly focused on TypeScript development, enhanced my understanding of integration processes and the importance of effective collaboration in software projects. Additionally, I delivered structured training and onboarding sessions for Microsoft & Google Workspace tools, often supported by recorded tutorials and video walkthroughs. This aspect of my role required skills
  • TELUS International AI Data Solutions
    Al Trainer & LLM Specialist - Domain Expert
    TELUS International AI Data Solutions
    Jan 2024 - Current (2 years 5 months)
    As an AI Trainer & LLM Specialist - Domain Expert, I engineer authoritative domain-specific prompts and annotation tasks across various technology domains, including AI, ML, NLP, Data Science, Computer Vision, Software Engineering, and Web Development. My role involves producing expert-level training content that challenges frontier model reasoning, ensuring it meets the highest standards of specialist knowledge. I evaluate over 300 AI-generated outputs monthly for factual accuracy, reasoning quality, safety compliance, bias presence, tone alignment, and domain correctness, applying structured RLHF rubrics and preference ranking methodology to achieve a first-submission accuracy rate of 95-98%. Additionally, I perform expert-level PII detec
  • Mercor
    Python LLM
    Mercor
    Jan 2024 - Dec 2025 (2 years)
    As a Python LLM contributor at Mercor, I operated in a highly dynamic environment that required applying a generalist skill set across multiple stages of AI model evaluation and improvement. I worked beyond a single function—engaging in prompt testing, systematic evaluation of AI-generated outputs, and identifying nuanced issues such as factual inaccuracies, logical inconsistencies, and contextual gaps. My contributions included refining outputs to meet quality and usability standards, which necessitated both analytical depth and adaptability. The nature of working with large language models meant constantly shifting across different domains, tasks, and data types, from structured validation to open-ended text analysis. This breadth of resp
  • Mindrift
    Data Annotation & AI Training Specialist
    Mindrift
    May 2023 - Dec 2025 (2 years 8 months)
    As a Data Annotation & AI Training Specialist, I was responsible for developing and refining data annotation processes to enhance AI model training. My role involved conducting thorough data analysis to ensure high-quality inputs for machine learning algorithms, which significantly improved model accuracy. I collaborated on AI annotation and training workflows utilizing platforms and tools built with TypeScript-based frameworks, gaining valuable exposure to scalable, data-intensive applications. This experience not only reinforced my structured problem-solving and collaboration skills but also provided insights into TypeScript development practices, which are essential for optimizing AI workflows.
  • U
    Investment Analyst
    University of Nairobi University of Nairobi
    Jan 2023 - Dec 2023 (1 year)
    Conducted in-depth investment analysis across equity and fixed-income markets. Built valuation models, assessed risk-return profiles, and provided actionable recommendations that improved portfolio performance by 15%. Collaborated with senior analysts to prepare reports for institutional clients.
  • M
    LLM Specialist & AI Annotation Expert
    Mindrift (Outlier AI Partner)
    Jan 2023 - Dec 2023 (1 year)
    As an LLM Specialist & AI Annotation Expert, I contributed specialist expertise across prompt writing, AI content evaluation, RLHF content ranking & scoring, fact-checking, and safety & bias detection, generating authoritative training prompts and evaluating AI outputs with 98% QA compliance across all assigned projects. I identified and documented 50+ AI model failure points per project cycle, including factual errors, reasoning failures, safety violations, bias patterns, hallucinations, PII leakage, and annotation quality gaps, producing structured reports that improved rubric quality and model accuracy benchmarks. Additionally, I delivered expert creative writing, instructional writing, genre & style adaptation, precision & consistency r
  • Micro1
    Data Analyst & Financial Modeling Associate
    Micro1
    Aug 2022 - Dec 2024 (2 years 5 months)
    Developed and applied financial models to analyze data, identify trends, and support decision-making. Worked with structured datasets to perform projections, scenario analysis, and data-driven evaluations. Utilized analytical techniques to assess performance, optimize outcomes, and present clear, actionable insights.
  • P
    Software Engineering & AI Research Trainee
    Power Learn Project (PLP)
    May 2022 - Dec 2022 (8 months)
    As a Software Engineering & AI Research Trainee, I developed applied competency across Python, web development (HTML, CSS, JavaScript, React), REST API integration, SQL databases, data structures, software engineering principles, and system design—building the full-stack technical foundation that underpins expert annotation across all AI training project domains. In this role, I embraced a generalist skill set by engaging in various aspects of AI development, data analysis, and system improvement. My responsibilities included data preparation, analysis of model behavior, and research into AI methodologies, which required adaptability and the ability to contribute across diverse domains. I participated in evaluating model outputs, identifyin
  • CloudFactory
    Language, Data & Annotation Specialist
    CloudFactory
    Jan 2022 - Dec 2022 (1 year)
    As a Language, Data & Annotation Specialist, I applied specialist expertise in linguistic QA, content taxonomy & tagging, document quality annotation, NER handling, PII detection, audio transcription review, and speaker identification labeling to evaluate training datasets, significantly improving NLP and AI model training data accuracy across multiple annotation modalities. I maintained strict quality thresholds, annotation schema consistency, inter-annotator agreement standards, and turnaround benchmarks across high-volume tasks, demonstrating the reliability and specialist consistency required in per-output, independent contractor annotation roles. In addition to my core responsibilities, I leveraged my generalist capabilities to navig
  • G
    Investment Banking Analyst
    Global Finance Partners
    Jul 2021 - Dec 2023 (2 years 6 months)
    Supported deal execution in mergers and acquisitions, equity offerings, and debt financing. Built complex financial models, conducted company valuations, and prepared pitch books for client presentations. Collaborated with senior bankers to deliver strategic advisory services, contributing to transactions valued at over $200M.
  • S
    Senior TypeScript Developer
    Sabirecruit / AI Training Solutions Project
    Mar 2021 - Dec 2025 (4 years 10 months)
    Architected and implemented robust TypeScript applications supporting AI training workflows. Designed scalable modules, optimized performance, and ensured reliability across distributed systems. Collaborated with cross-functional teams to deliver production-ready solutions, conducted code reviews, and mentored junior developers.
  • C
    Full-Stack Engineer (TypeScript Focus)
    Cloud-based SaaS Startup
    Feb 2020 - May 2023 (3 years 4 months)
    ed the development of TypeScript-based applications for SaaS platforms. Built and maintained APIs, integrated front-end and back-end systems, and applied best practices in clean, maintainable code. Delivered scalable solutions that supported thousands of concurrent users.
  • Handshake
    Image Annotator
    Handshake
    Jan 2019 - Aug 2021 (2 years 8 months)
    As an Image Annotator, I was responsible for accurately labeling and validating images to support AI training initiatives. My role involved not only visual annotation but also the application of text analysis skills, particularly in interpreting labeling guidelines, metadata, and contextual descriptions. I regularly analyzed written instructions and labeling criteria to ensure that annotations were consistent with textual definitions and project requirements. This required careful reading and understanding of context, as well as applying consistent judgment based on established written standards—key components of effective text analysis. Additionally, I conducted thorough reviews of annotation outputs and associated text labels for accuracy
Education verified_user 0% verified
  • D
    LLM Prompt Engineering for Developers
    DeepLearning.AI & OpenAI | Coursera
    Mar 2025 - Aug 2025 (6 months)
  • A
    AWS Cloud Practitioner Essentials
    Amazon Web Services | Coursera
    Aug 2024 - Dec 2025 (1 year 5 months)
  • edX
    AI Ethics and Responsible AI
    edX
    Sep 2023 - Aug 2024 (1 year)
  • D
    Natural Language Processing Specialization
    DeepLearning.AI | Coursera
    Feb 2023 - Jan 2024 (1 year)
  • e
    Certificate - Artificial Intelligence & Machine Learning
    eMobilis Institute of Technology
    Feb 2023 - Oct 2023 (9 months)
  • e
    Artificial Intelligence & Machine Learning Certificate
    eMobilis Institute of Technology
    Feb 2023 - Aug 2023 (7 months)
  • T
    Certificate - Information & Communication Technology
    Taita Taveta National Polytechnic
    May 2022 - Dec 2022 (8 months)
  • D
    Machine Learning Specialization
    DeepLearning.AI (Andrew Ng) | Coursera
    May 2022 - Dec 2022 (8 months)
  • University of Nairobi
    Bachelor of Science - Computer Science
    University of Nairobi
    Jan 2021 - May 2025 (4 years 5 months)
    Core Coursework: Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, Data Science & Analytics, Algorithms & Data Structures, Software Engineering, Computer Architecture, Distributed Systems, Operating Systems, Theory of Computation, Database Systems, Computer Networks, Human-Computer Interaction, Statistics & Probability, Programming Languages
  • G
    TensorFlow Developer Certificate
    Google | Coursera
    Feb 2020 - May 2021 (1 year 4 months)
Projects (professional or personal) verified_user 0% verified
  • E
    Equity Market Evaluation Project
    Equity Bank,
    Jan 2024 - Dec 2024 (1 year)
    Led investment analysis initiatives by evaluating equity and fixed-income opportunities. Built valuation models, assessed risk-return tradeoffs, and provided recommendations that improved portfolio performance by 15%. Collaborated with senior analysts to prepare client-facing reports.
  • Mindrift
    Multi-Modal Annotation Quality Framework
    Mindrift
    Jan 2023 - Dec 2023 (1 year)
    Designed a comprehensive evaluation rubric covering all annotation modalities - text (NER, PII, taxonomy), image (bounding box, segmentation, keypoints), video (object tracking, temporal segmentation), audio (transcription, speaker ID, emotion tagging), and 3D/LIDAR - adopted as a quality reference across annotation project cycles.
  • Mindrift
    AI Model Failure Pattern Library
    Mindrift
    Jan 2023 - Dec 2023 (1 year)
    Compiled a structured catalogue of 50+ recurring AI annotation failure patterns per cycle - covering reasoning errors, safety violations, bias instances, PII leakage, NER schema deviations, taxonomy misclassifications, and hallucination types - used to improve evaluation standards and reduce model error recurrence.
  • Mindrift
    LLM Evaluation & RLHF Prompt Suite
    Mindrift
    Jan 2023 - Dec 2023 (1 year)
    Developed 200+ adversarial prompts spanning Python data workflows, algorithmic problem-solving, web development scenarios, API design, DevOps practices, ML pipeline methodology, computer vision tasks, and generative AI evaluation - stress-testing frontier model technical accuracy across the full AI training domain.
  • Mindrift
    Autonomous & Biometric AI Scenario Library
    Mindrift
    Jan 2023 - Dec 2023 (1 year)
    As a contributor to the Autonomous & Biometric AI Scenario Library, I developed annotation scenarios and evaluation rubrics for autonomous AI systems, robotics integration tasks, and biometric recognition workflows, including facial, voice, and fingerprint recognition. This work involved creating specialist training content for AI motion, identity verification, and sensor fusion model development. In addition to my core responsibilities, I leveraged my generalist skills to manage a diverse range of tasks, including scenario design, response evaluation, and quality control, which required adaptability to various data types and contexts. Furthermore, I applied text analysis skills to evaluate and improve AI training data, ensuring accuracy, c
  • Mindrift
    Multilingual Annotation Corpus (English & Swahili)
    Mindrift
    Jan 2023 - Dec 2023 (1 year)
    Produced specialist annotation content across AI, NLP, technology, and linguistics domains in English and Swahili - expanding training data coverage for underrepresented African language contexts and improving cross-linguistic model performance benchmarks.
  • CloudFactory.
    AI Data Quality Analysis & Model Evaluation
    CloudFactory.
    Aug 2022 - Dec 2025 (3 years 5 months)
    As an AI Data Quality Analysis & Model Evaluation specialist, I conducted comprehensive data analysis on annotated datasets and AI-generated outputs to identify patterns, inconsistencies, and quality issues. My role involved evaluating both structured and unstructured data, detecting errors, biases, and anomalies that could impact model performance. I provided insights and recommendations to improve data accuracy, consistency, and the overall effectiveness of AI training datasets. Additionally, I performed rigorous data quality checks and model evaluations, ensuring the accuracy, consistency, and reliability of AI outputs. This experience aligns with due diligence practices, as it required thorough verification of information, identificatio
  • Generation
    Mobile App Developer
    Generation
    Aug 2022 - Jun 2024 (1 year 11 months)
  • P
    AI Training Data Validation Pipeline
    Power Learn Project (PLP)
    May 2022 - Dec 2022 (8 months)
    In my role as an AI Training Data Validation Pipeline specialist, I built a robust fuzzy deduplication pipeline using pandas and difflib.SequenceMatcher, incorporating field-level validation, PII detection hooks, encoding error handling (utf-8-sig), and structured error reporting for AI annotation batch QA. This initiative significantly reduced silent data quality failures across 2,000-5,000 row JSON annotation batches before pipeline ingestion. Additionally, my experience encompassed responsibilities typically associated with an AI Trainer, where I reviewed and validated AI-generated outputs to ensure accuracy and consistency with established guidelines. This involved identifying errors, performing fact-checking, and enhancing the quality
  • REX Remo Experts
    Strategic Financial Forecasting Initiative
    REX Remo Experts
    Jan 2022 - Feb 2024 (2 years 2 months)
    As the lead on the Strategic Financial Forecasting Initiative, I developed comprehensive financial models to forecast revenue, expenses, and cash flow for client portfolios. I conducted scenario analysis to evaluate strategic options, which improved forecasting accuracy by 20% and supported executive decision-making with clear, data-driven insights. Additionally, I applied advanced valuation techniques and scenario analysis, skills that are directly applicable to investment banking deal structuring and advisory work, thereby enhancing my ability to contribute to high-stakes financial decisions. This experience has equipped me with a robust understanding of financial dynamics, making me well-prepared for roles in investment banking.
Awards verified_user 0% verified
  • A
    Annotation Mentorship Excellence
    Jan 2026 - Mar 2026 (3 months)
  • 9
    95-98% First-Submission Accuracy
    Jan 2026 - Mar 2026 (3 months)
  • 9
    98% QA Compliance
    Apr 2025 - Aug 2025 (5 months)