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Labeler - Web3 Data Labels Researcher (Cybercrime, Cefi, Defi)

1 month ago

القاهرة, Egypt Chainlabs Full time

**About Chainlabs.ai**

Chainlabs is a data startup dedicated to enabling web3 analytics. We help identify blockchain address ownership and track addresses linked to criminal activities. We help companies similar to Nansen, Chainalysis and Arkham in their wallet labelling. Our biggest clients are anti-money laundering (AML) service providers, but we also support law enforcement, traders, and academic research.

**About the role**

We are looking for a Web3 Data Intelligence operator to help us discover websites and online actors that accept crypto payments.

This is a full-time, fully remote position with immediate start. The role offers potential growth into team lead or management positions.

**Your responsibilities**
- Discover web3 entities, for example exchanges, gambling websites, Bitcoin mixers, public figures owning crypto, NFT rug pulls, and ATMs
- Interact with these entities and record their information in a database
- Help us identify crypto-related cybercrime on the darknet using a TOR browser, including darknet markets, stolen credit card sales, and money-laundering activities. You'll record these activities on a blacklist to increase web3 safety and trust.
- Read industry reports to understand web3 cybercrime trends and summarize findings in reports for clients and internal teams
- Analyze platforms like Telegram, Discord, Reddit, and X (Twitter) to identify emerging threats, trends, and entities
- Quality Control: Review data collected by you and your colleagues
- Participate in building new web3 data products, such as whale alerts and exchange safety ranking websites

Based on your abilities and interests, you may quickly take on additional responsibilities:

- Management position within our Data Operators team
- Client-facing roles, directly providing and explaining collected data to clients
- Investigation of lost and hacked funds recovery

Must Have
- Transacted with cryptocurrencies (BTC, ETH, LTC, BNB, DOGE, etc.)
- Strong organizational skills
- An exceptional attention to detail
- Experience in conducting in-depth online research
- Proficiency with spreadsheets, CSV files, and data entry tools for handling large volumes of data
- Strong critical thinking skills to accurately label entities and identify data anomalies
- Basic knowledge of blockchain explorers: Familiarity with tools like Etherscan, Blockchair, or Bitcoin Explorer to trace wallet activity
- Autonomous and self-organized in a remote work environment
- Excellent communication skills in both spoken and written English

Nice to Have
- Exposure to scams, malware, decentralized mixers, darkweb markets, atomic swaps, theft, or stolen coins
- Understanding of Layer 1 and Layer 2 ecosystems, such as Solana, Tron, BNB Chain, and ETH ecosystems
- Knowledge of DeFi, including swaps, bridges, DEXes, yield aggregators, and lending platforms
- Basic experience with on-chain data tools such as Chainalysis (or equivalent), Nansen, Dune, and Flipside Crypto
- **Technical proficiency**: Familiarity with TOR Browser, VPNs, OSINT software, and data scraping tools
- Fluency in other languages (Arabic, Russian, Chinese, Spanish) to navigate non-English forums, darknet content, and local on-off ramps

**Why Join Us?**
- Gain expertise in cryptocurrency analytics, blockchain forensics, and OSINT research—critical fields for the future of finance and security
- Make an impact Your work will reach our network of analytics clients, helping thousands of law enforcement agencies, traders, and businesses combat cybercrime and fraud
- **Leadership opportunities**: Rapid growth potential with pathways to senior analyst or team lead roles as Chainlabs.ai scales

Pay: From E£53,321.00 per month

Application Question(s):

- What crypto projects are you excited about and why ? (2-3 sentences)
- What professional achievement they are proud of? (2-3 sentences)
- Do you have experience with on-chain data analytics (Dune, Flipside crypto, Chainalysis, etc). If yes, please describe. (2-3 sentences)