Donvan Nyaga

AI Data & Quality Expert with a focus on details and over three years of expertise in remote digital operations, with a focus on data annotation, content assessment, AI training, and human-in-the-loop model assistance. Demonstrated ability to interpret complicated annotation instructions, accurately label data, assess AI-generated results, and verify adherence to quality assurance criteria. Proficient in data set validation, mistake identification, edge-case identification, and organized feedback to enhance model performance and dependability.

Excellent numerical aptitude, analytical reasoning, and writing ability. Proficient in reaching productivity goals and upholding quality standards in a remote, high-speed AI training setting.

AI Data Specialist (REMOTE-Contract) at Telus International AI (2024-02 – Present)

TrainAI Division - Remote AI Data Specialist performing annotation, review, and validation of text corpora for training and machine learning using AI technologies.

• Annotate, review, and validate text corpora for training and machine learning using other AI technologies.
• Perform quality reviews of AI-generated responses for relevancy, truthfulness, clarity, and adherence to project standards.
• Score search-related content, conversational AI outputs according to predefined criteria and rating scales.
• Use uniform judgment criteria and detailed annotation instructions to retain data quality when it comes to a large number of datasets.

Search Quality Rater / Content Evaluator at DataAnnotation Tech (2023-01 – 2023-11)

Analyzed SERPs and evaluated AI-produced content for qualitative and factual soundness, as well as adherence to assessment guidelines.

• Analyzed SERPs for relevance, utility, and query intent in response to users' queries.
• Evaluated AI-produced content for qualitative and factual soundness, as well as adherence to assessment guidelines.
• Researched independently to check the accuracy and credibility of the information.
• Leveraged critical thinking and cultural context to deliver fair ratings.

AI Training Data Annotator / Content Evaluator at Outlier (2022-05 – 2023-01)

Hand-labeled text datasets for training and testing machine learning and natural language processing algorithms. Performed quality assessment and content categorization tasks.

• Hand-labeled text datasets for training and testing machine learning and natural language processing algorithms.
• Quality assessment We screened AI-generated responses for relevance, coherence, and following the guidelines.
• Worked on content categorization and intents classification tasks as per project guidelines.
• Preserved annotation quality and consistency for repetitive tasks on detail-sensitive photographs.

Bachelor of Science in Computer Science - Artificial Intelligence – Machine Learning & Human-Centered AI – University Of Nairobi (2017 – 2021)