Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
Remotasks
Lionbridge
Document
Text
Classification
Text Generation
Question Answering
Transcription
Evaluation/Rating
Data Collection
Function Calling
Text SummarizationMy experience in data labelling and AI training data is strongly grounded in financial crime, sanctions, and crypto investigations, where accurate classification, risk tagging, evidence review, and decision quality are critical. In my roles across Revolut, Wallet in Telegram, and other compliance functions, I have reviewed and assessed complex customer, transaction, blockchain, and sanctions-related data to identify risk patterns, typologies, false positives, and escalation triggers. This includes analysing blockchain wallet activity, screening alerts, customer due diligence records, open-source intelligence, sanctions exposure, and transaction behaviour to support accurate case outcomes and regulatory reporting. What sets me apart is my ability to combine subject matter expertise in AML, sanctions, crypto investigations, and regulatory compliance with structured analytical judgement. I have hands-on experience using tools such as Chainalysis, Elliptic, World-Check, and internal screening/monitoring systems, and I am comfortable working with large volumes of sensitive data where precision, consistency, and explainability matter. My background also includes quality control of investigations, policy gap analysis, red-flag development, and typology mapping, which are directly relevant to AI training data projects that require high-quality annotation, risk classification, model evaluation, and human-in-the-loop review.
DocumentClassificationUsed public registries, media sources, sanctions guidance, corporate websites, and open-source searches to identify and tag risk indicators linked to sanctions evasion, nominee ownership, high-risk business activity, and adverse media. This work supported more accurate risk assessment and strengthened evidence-based decision-making in financial crime investigations.
DocumentClassificationReviewed blockchain wallet activity, crypto transactions, exposure paths, and counterparties to classify wallet risk and identify links to scams, darknet markets, sanctioned entities, fraud typologies, and suspicious fund flows. Used tools such as Chainalysis and Elliptic to assess wallet attribution, trace movement of funds, label exposure types, and support escalation decisions for high-risk crypto activity.
Masters, Strategic Management
Compliance Manager
