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AI Data Trainer Available Now

I train AI models to think better.

RLHF evaluation, data annotation, code review, and prompt engineering. 3+ years building structured datasets with 95%+ accuracy.

RLHF Evaluation Data Annotation Code Review Prompt Engineering AI Training Quality Control Hallucination Detection Red Teaming RLHF Evaluation Data Annotation Code Review Prompt Engineering AI Training Quality Control Hallucination Detection Red Teaming
0 Items Annotated
0 Accuracy Rate
0 Years Remote
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What I Do

01

RLHF and AI Training

AI response evaluation, ranking, and preference labeling. Chatbot quality rating, hallucination detection, red teaming, and prompt-response quality assessment for large language models.

02

Code Evaluation

Reviewing AI-generated code for correctness, efficiency, and style in Python, JavaScript, TypeScript, Solidity, and AssemblyScript.

03

Prompt Engineering

Building and refining prompts for LLM systems (Claude, Grok, GPT). Iterative optimization and structured response tuning.

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Data Annotation

Text labeling, entity recognition, sentiment classification, intent tagging, bounding box annotation, image classification, and metadata generation.

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AI Agent Development

Built AI-powered production systems using LLM APIs (Claude, Grok, GPT). Structured output parsing, iterative prompt refinement, and response quality tuning for deployed agents.

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Quality Control

Automated QC workflows, validation rules, accuracy monitoring. 95%+ accuracy across all projects. Clean, model-ready data at scale.

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Experience

2024 — Now Freelance

AI Data Training and Annotation Specialist

  • Created and annotated 3,333 structured dataset items with trait classification across 6 categories
  • Built automated quality control pipelines enforcing validation rules across large datasets
  • Evaluated and ranked AI-generated text and code outputs for correctness and quality
  • Built AI agent systems using LLM APIs with prompt engineering and iterative refinement
  • Code review across Python, JavaScript, TypeScript, and Solidity
  • Maintained 95%+ accuracy across all annotation and labeling tasks
2023 — Now Independent

Full Stack Developer and Data Pipeline Engineer

  • Built production applications processing structured listings with multi-field classification
  • Designed PostgreSQL schemas with validation constraints for 10,000+ item collections
  • Developed automated indexer parsing and classifying data across 50,000+ blocks in real time
  • Created admin systems with 23 endpoints for data management and content moderation
2022 — 2023 Gatsby Tools

Quality Assurance and Operations Specialist

  • Processed 50-60 daily tickets with under 2 minute response times
  • Created standardized documentation templates and classification frameworks
  • Pattern recognition and anomaly detection across reported issues
2024 — 2025 Web3 Projects

Data Collection and Verification Lead

  • Managed 700+ submissions requiring verification, deduplication, and standardization
  • Built structured databases with multi-criteria validation for eligibility screening
  • Data quality audits under launch conditions with zero error tolerance
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About

AI data trainer with an engineering mind. I build the datasets that make models smarter.

B.Eng in Mechanical Engineering. 3+ years working remotely across time zones. I have annotated and curated 3,333+ structured dataset items, built automated QC pipelines, and evaluated AI-generated text and code for correctness.

My technical background in Python, JavaScript, TypeScript, and SQL means I understand how labeled data flows into ML pipelines and what quality standards models need to perform.

Skills

RLHFPrompt EngineeringCode ReviewRed TeamingFact-CheckingText LabelingEntity RecognitionSentiment AnalysisImage ClassificationBounding BoxesPythonJavaScriptTypeScriptSQLSolidityPostgreSQLGitLinux

Details

LocationNigeria (GMT+1)
EducationB.Eng Mechanical
AvailabilityImmediate
PaymentPayoneer / Wise / Deel
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