U
Ugwu Ifeanyichukwu Vincent
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Rivers State, Nigeria
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Jobs
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- AAI DATA LABELING SPECIALIST (CONTRACT)Oct 2025 - Jun 2026 (9 months)In this AI data labeling specialist role, I specialized in the production of high-quality, model-ready datasets for computer vision, natural language processing (NLP), large language models (LLMs), and multimodal AI systems. I executed complex annotation workflows requiring precision, contextual understanding, guideline interpretation, quality control, and systematic error analysis. I also performed the following duties in this role: 1. I annotated and reviewed the quality of large-scale datasets used for training and evaluating AI models across text, image, video, and multimodal data environments. 2. I performed high-precision text annotation tasks, including intent classification, sentiment analysis, entity recognition, topic categoriza
AI Data AnalystInvisible TechnologiesJun 2024 - Aug 2025 (1 year 3 months)As an AI data analyst, I executed high-touch medical imaging and financial document data labeling. I automated repetitive labeling tasks using basic Python scripts, increasing throughput. I participated in red-teaming exercises to improve model safety- Lead Data Labelling SpecialistAppenAug 2022 - Feb 2024 (1 year 7 months)As a lead data labeling specialist, I managed end-to-end data pipelines for computer vision projects, including 2D/3D cuboid labelling for autonomous vehicle training I consistently maintained a QA score of 98%+ on preferred contributor projects. I identified and mitigated algorithmic bias in training sets through rigorous audit protocols and diverse data sampling I mentored junior annotators on platform-specific tooling and complex taxonomy applications
- AI Content TrainerScale AIApr 2021 - Jul 2022 (1 year 4 months)As an AI content trainer, I collaborated on high-priority RLHF projects for "Frontier" LLMs focusing on complex reasoning, coding (Python/Java), and mathematical problem-solving I also contributed to evaluating and ranking model outputs based on the Helpfulness, Honesty, and Harmlessness (HHH) frameworks. I performed deep-dive fact-checking and "Chain of Thought" (CoT) verification for technical prompts I developed comprehensive annotation guidelines that reduced edge case ambiguity
- AI DATA QUALITY SPECIALISTScale AIApr 2021 - Jul 2022 (1 year 4 months)In this role as a data quality specialist, I specialized in maintaining and improving the quality, consistency, accuracy, completeness, and usability of datasets used for artificial intelligence and machine learning systems. I performed detailed quality control across text, image, video, multilingual, and large language model datasets, ensuring that annotated data complied with project taxonomies, annotation guidelines, and downstream model requirements. I worked at the intersection of data annotation, quality assurance, linguistic evaluation, machine learning dataset preparation, and AI model evaluation. My Key data quality responsibilities included 1. I conducted systematic quality audits of labeled datasets to identify inaccurate, in
Projects (professional or personal)
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- LLM RESPONSE EVALUATION AND PREFERENCE RANKING PROJECTAtlas CaptureOct 2025 - Jun 2026 (9 months)In this LLM data evaluator/AI response quality specialist project, I evaluated AI-generated responses against detailed quality criteria to determine whether outputs were factually accurate, relevant, complete, well-reasoned, safe, natural, and compliant with the original instructions. In this project I performed comparative evaluations of multiple AI responses by 1. Identifying the strongest response based on objective quality criteria 2. Detecting factual hallucinations and unsupported claims 3. Separating factual errors from incomplete but otherwise correct answers. 4. Identifying whether an AI system misunderstood the user's intent. 5. Assessing whether the response followed all explicit and implicit instructions. 6. Evaluating the qua
- Autonomous Object Detection SuiteInvisible TechnologiesJun 2024 - Aug 2025 (1 year 3 months)Annotated over 5,000 frames of diverse weather conditions for an open-source Computer Vision model using CVAT and Labelbox
- ANNOTATION QUALITY CONTROL AND DATA VALIDATION PROJECTInvisible TechnologiesJun 2024 - Aug 2025 (1 year 3 months)In this Data Quality Assurance Specialist project, I performed detailed quality assurance on labeled datasets to ensure that data met predefined accuracy, consistency, and completeness standards. My responsibilities included 1. I reviewed completed annotations for compliance with project guidelines. Identifying systematic annotation errors and recurring label inconsistencies. 2. I was involved in detecting missing, duplicated, incorrectly classified, or poorly defined labels. 3. I audited ambiguous examples and applied the correct decisions according to the annotation hierarchy. 4. I maintained consistency across large batches of data 5. I was involved in identifying patterns that could indicate misunderstanding of annotation instruct
- CAPPEN DATA ANNOTATION/AI DATA PROJECTCrowdGen by AppenAug 2022 - Feb 2024 (1 year 7 months)In this project I completed AI data-related tasks involving structured annotation, categorization, content evaluation, and quality assessment within remote AI data operations environments. In the course of execution fo this project, I developed practical experience working with the core requirements of ,commercial AI data production, including strict adherence to project guidelines, igh-volume data processing, independent decision-making, quality control, and the consistent application of complex labeling rules
- LLM RESPONSE QUALITY AND PREFERENCE DATA AUDITAppenFeb 2022 - Jun 2024 (2 years 5 months)Role: Senior AI Data Quality Specialist Objective: To validate the quality of human evaluations used to assess and rank AI-generated responses. My responsibilities in this project included 1. I audited human preference decisions between competing AI responses. 2. I verified that the preferred response was objectively superior based on factuality, relevance, completeness, reasoning quality, and instruction adherence. 3
- SCALE AI ANNOTATION WORKFLOWSScale AIApr 2021 - Jul 2022 (1 year 4 months)I developed practical familiarity with professional annotation methodologies used in modern AI data operations, including structured labeling interfaces, image annotation workflows, text classification, quality review, dataset validation, and model output evaluation. I am experienced in adapting quickly to new annotation platforms, platform-specific taxonomies, and evolving data labeling guidelines while maintaining consistent output quality.
- MULTIMODAL AI DATASET ANNOTATION SPECIALISTScale AIApr 2021 - Jul 2022 (1 year 4 months)Contributed to the preparation and quality assessment of multimodal datasets combining visual content and natural language descriptions. The work required the identification of objects, actions, relationships, environments, and contextual information within visual data and the validation of whether accompanying textual descriptions accurately represented the content of the image or video. My key responsibilities in this project included the following: A. Identifying all relevant objects and entities present within visual samples. B. Assigning appropriate object classes and attributes according to defined taxonomies. C. Detecting and labeling partially visible, overlapping, and occluded objects. D. Validating whether image captions accu
- LLM reasoning OptimizerScale AIApr 2021 - Jul 2022 (1 year 4 months)Curated a custom dataset of 1000+ multi-turn conversations focusing on logical fallacies and deductive reasoning to improve chatbot nuance