# Clement Gyasi Siaw > Data Scientist / Analyst | Python Developer | LLM / AI Trainer Location: Newark, New Jersey, United States Profile: https://flows.cv/clementgyasisiaw Experienced Data Annotation and QA Specialist with over 3 years of hands-on expertise across multi-modal annotation tasks including video, audio, images, text, and code. Proven track record in conducting QA reviews, and providing actionable feedback for optimization. Adept at working remotely and collaborating with cross-functional teams to drive data accuracy, and scalable annotation process. ## Work Experience ### Software Engineer @ SuperAnnotate Jan 2025 – Present | United States • Contributed to training AI models in Python, JavaScript, and SQL by reviewing and evaluating coding responses and code outputs by the models. • Evaluated responses against requirements, ensuring accuracy, completeness, and adherence to instructions. • Identified and resolved logic errors, edge cases, and inefficiencies through systematic testing and debugging. • Assigned quality ratings and provided clear, concise justifications based on structured evaluation criteria. • Conducted comparative analysis and ranking of solutions, documenting results to ensure consistency and transparency. ### Data Labelling Analyst @ Outlier AI Jan 2024 – Present | United States • Developed complex prompts for AI models in the White Wolf RLHF Project, focusing on creating meaningful deviations between models. • Improved AI models' ability to accurately follow instructions and respond truthfully in complex scenarios through Reinforcement Learning with Human Feedback, leading to more reliable and contextually appropriate models’ outputs in real-world applications. ### Audio-Visual Labelling Analyst @ Mercor Jan 2025 – Jan 2025 Reviewed videos and carefully analysed corresponding audio components. • Segmented and created precise visual masks for objects responsible for making sounds within videos. • Identified and annotated three visual objects per video that were most likely to produce sound but did not, enhancing model learning accuracy. • Ensured high-quality annotations by cross-verifying audio-visual alignment and maintaining adherence to detailed project guidelines. ### Video Annotation Project @ micro1 Jan 2025 – Jan 2025 Annotated short-form and long-form video clips with high-detail scene descriptions, character identification, and precise action sequencing. Documented physical appearance of subjects (clothing, accessories, hairstyle, body features) and spatial relationships between characters, objects, and camera angles. Captured motion details including body orientation, facial expressions, and action timing using time-coded annotations. Followed strict annotation guidelines to avoid subjective interpretation and ensure objective, verifiable descriptions. ### Data Annotator @ Pareto.AI Jan 2025 – Jan 2025 • Created instructional captions to guide AI agents in performing website searches and navigation tasks. • Ensured captions were precise, clear, and aligned with project guidelines for AI training. • Transcribed and annotated video content to improve AI comprehension of visual and auditory elements. ### Lecturer in Petroleum Engineering @ Kwame Nkrumah University of Science and Technology, Kumasi Jan 2018 – Jan 2022 | Kumasi, Ashanti Region, Ghana Courses Taught: • Fundamentals of Reservoir Engineering: This course covers the essential principles of reservoir engineering, including the properties of reservoir rocks and fluids, fluid flow in porous media, and the basic techniques used to evaluate and manage hydrocarbon reservoirs. • Immiscible Displacement: This technique involves injecting a fluid that does not mix with the oil, such as water or gas, into the reservoir. The injected fluid pushes the oil towards the production wells. Since the injected fluid and oil do not mix, this method primarily relies on pressure to displace the oil. • Enhanced Oil Recovery (EOR): This course focuses on advanced methods to increase oil recovery beyond primary and secondary techniques. It covers thermal recovery, chemical flooding, and gas injection methods, along with real-world case studies and field applications to illustrate the effectiveness of these technologies. • Reservoir Fluid Dynamics: This course explores the behaviour of reservoir fluids under various conditions. It includes phase behaviour and PVT (Pressure-Volume-Temperature) analysis, as well as the study of multiphase flow in reservoirs, providing a thorough understanding of how fluids move and interact within the reservoir. ### Stock Management Web App @ Self Employed Jan 2021 – Jan 2022 | Kumasi, Ashanti Region, Ghana This is a Flask app via which users can manage portfolios of stocks. They can check real stocks’ actual prices and portfolios’ values and can also “buy” and "sell" stocks by querying for stocks’ prices. This app is deployed seamlessly on Heroku for accessibility and scalability. Strengths: Real-Time Stock Management: Enables users to monitor stock portfolios and track real-time stock prices effortlessly. User-Friendly Interface: Intuitive design for seamless navigation and efficient management of financial transactions. Secure Authentication: Implements robust authentication mechanisms to ensure user data security. Data Integrity: Utilises SQLite database to maintain data integrity and reliability. Flexible Deployment: Easily deployable across various environments for widespread accessibility. Functionalities: User Registration: Streamlined registration process with validation checks for accurate user information. Stock Price Lookup: Allows users to retrieve real-time stock prices using stock symbols. Portfolio Management: Facilitates buying and selling of stocks, with transaction records stored securely. Transaction History: Provides a detailed transaction history for user reference and analysis. Optimisations: Caching: Disables caching for real-time updates and accurate stock price tracking. Session Management: Stores user sessions securely on local filesystem for enhanced security. Querying: Utilises efficient SQL queries for seamless data retrieval and management. In summary, the Finance Web Application offers a user-friendly interface, real-time stock management capabilities, and robust security features, making it an ideal solution for managing stock portfolios and financial transactions. ### School Management Web App @ Unknown Jan 2021 – Jan 2021 | Kumasi, Ashanti Region, Ghana This web app offers a user-friendly interface, comprehensive features for managing academic activities, and robust security measures, making it a valuable tool for educational institutions. Key Features: • Developed a user-friendly platform accommodating students, teaching staff, and non-teaching staff, delivering customized features for each user group, coupled with multi-level authentication for enhanced security and data integrity. • Implemented personalized dashboards for users to access departmental and program information, announcements, and events, enhancing user engagement and interaction. • Enabled effortless profile management allowing users to update personal details and upload photos, optimizing user experience and satisfaction. • Ensured a responsive design layout for accessibility across various devices for user convenience. • Utilized SQLite for robust database management, incorporating various entities and user logs for activity tracking and maintaining comprehensive records. Optimizations: • Created indexes on key columns in the database for faster search operations, enhancing user experience. • Utilized session management and logging for tracking user activities and ensuring data integrity. Limitations: Does not include features for managing students' fee payment records, which could be a potential enhancement for future iterations. ## Education ### Master's degree in Petroleum Engineering Technical University of Crete ### Bachelor's degree in Oil and Gas Engineering Saint Petersburg Mining University ## Contact & Social - LinkedIn: https://linkedin.com/in/clement-gyasi-siaw-33983ba1 --- Source: https://flows.cv/clementgyasisiaw JSON Resume: https://flows.cv/clementgyasisiaw/resume.json Last updated: 2026-04-13