Available to hire
Hi, I’m Clinton Clintonotuka, a multilingual AI contributor with extensive experience in content evaluation, data annotation, linguistic quality control, and search intent analysis. I’m skilled at developing and refining training data to support AI and LLM technology development, and I’m proficient at ensuring data accuracy, applying linguistic principles, conducting internet research, and adapting to evolving project requirements.
I thrive in remote collaboration, maintain rigorous privacy and ethics standards, and enjoy turning complex tasks into clear, repeatable processes through calibration, evaluation tools, and robust checklists.
Experience Level
Work Experience
Data Annotator at SuperAnnotate
May 1, 2023 - May 1, 2023Supported data augmentation efforts to increase model generalizability and reduce bias. Collaborated with remote teams to uphold quality assurance metrics across evolving task guidelines. Evaluated multilingual AI training datasets, improving linguistic and cultural relevance. Designed and implemented evaluation tools, rubrics, and checklists to assess AI outputs. Mapped user prompts to appropriate AI responses, verifying the accuracy and relevance of generated content. Conducted internet-based research to verify the accuracy of training materials.
Data Annotator at Snorkel AI
November 1, 2024 - November 1, 2024Supported data augmentation efforts to increase model generalizability and reduce bias. Collaborated with remote teams to uphold quality assurance metrics across evolving task guidelines. Evaluated multilingual AI training datasets, improving linguistic and cultural relevance. Designed and implemented evaluation tools, rubrics, and checklists to assess AI outputs. Mapped user prompts to appropriate AI responses, verifying the accuracy and relevance of generated content. Conducted internet-based research to verify the accuracy of training materials.
Content Evaluator at Mindrift
April 1, 2024 - November 9, 2025Rated model performance across multilingual output sets, identifying accuracy, logic flow, and user relevance. Conducted response generation, summarization, and similarity evaluation tasks for improving LLM fine-tuning. Carried out audio sentiment transcription and annotation, identifying emotional tone and linguistic stress markers. Evaluated multilingual AI training datasets, improving linguistic and cultural relevance. Designed evaluation tools, rubrics, and checklists to assess AI outputs. Mapped user prompts to appropriate AI responses, verifying the accuracy and relevance of generated content. Conducted internet-based research to verify the accuracy of training materials.
Generative AI Specialist at TransPerfect
September 1, 2025 - September 1, 2025Created and assessed training data for machine learning models to enhance relevance and accuracy. Labeled primary emotion, arousal/valence, and distress severity; applied escalation flags for urgent content following safeguarding guidelines. Wrote brief rationales citing acoustic cues and context; handled noisy audio, code-switching, and sarcasm edge cases. Maintained high inter-annotator agreement through calibration sessions; followed privacy/ethics and confidentiality protocols. Achieved productivity and quality targets; collaborated with leads to refine labeling instructions, add examples, and improve decision trees for ambiguous emotions.
Education
Certificate in Data Analytics at Brain Station
January 1, 2025 - November 9, 2025Graduate certificate in Environmental Engineering at Concordia University, Montreal
January 11, 2030 - November 9, 2025Qualifications
Bachelor of Engineering and Minor Applied Linguistics: Process Engineering
January 11, 2030 - January 1, 2018Industry Experience
Software & Internet, Professional Services, Media & Entertainment, Education, Other
Experience Level
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