AI Web Scraping Engineer – Stealth Data Acquisition

Job not on LinkedIn

🕒 September 12

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Workana

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

👥 HR Tech

🏪 Marketplace

🎯 Recruiter

💰 Series C on 2024-02

HR Tech • Marketplace • Recruitment

Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD. Workana ensures satisfaction with protected payments and a satisfaction guarantee, aiming to grow businesses quickly and sustainably by leveraging the best remote talent available.

📋 Description

• Design, build, and maintain stealth-based scraping pipelines that evade bot detection, fingerprinting, and rate-limiting defenses • Reverse-engineer target sites' anti-automation measures, including TLS/JA3 fingerprinting, canvas/WebGL fingerprinting, and behavioral detection, and build countermeasures • Architect distributed scraping infrastructure using rotating residential/mobile proxies, headless browser farms, and session/cookie management at scale • Integrate AI/LLM-based parsing for dynamic, unstructured, or frequently changing page layouts • Build self-healing scrapers that detect layout/DOM changes and adapt automatically • Monitor scraper health, success rates, and detection signals; iterate rapidly when sites patch defenses • Ensure data pipelines follow client-defined legal and ethical guardrails, including ToS review, robots.txt handling, and rate limiting, as directed by the legal/compliance team • Collaborate with data engineering to deliver clean, structured, deduplicated datasets into downstream systems

🎯 Requirements

• 4+ years building production web scraping systems at scale • Deep hands-on experience with headless browser automation (Playwright, Puppeteer, Selenium), including stealth plugins/patches • Practical experience defeating or working around Cloudflare, DataDome, PerimeterX, Akamai Bot Manager, Kasada, or similar • Strong understanding of TLS fingerprinting, HTTP/2 fingerprinting, canvas/WebGL fingerprinting, and browser fingerprint spoofing • Experience with residential/mobile/datacenter proxy rotation and session management at scale • Proficiency in Python and/or Node.js/TypeScript for scraping and orchestration • Experience using LLMs/AI models for content extraction, parsing, and classification on messy/unstructured HTML • Familiarity with CAPTCHA-solving approaches and detection-avoidance strategies • Must be based in and authorized to work in the United States • Must pass a standard background check prior to start • Comfortable working in a fast-moving, iterative environment where target sites change defenses frequently • Nice to have: Experience with mobile app API reverse engineering • Nice to have: Background in adversarial ML or anti-bot research • Nice to have: Experience with distributed task queues (Celery, Kafka, SQS) for scraping orchestration • Nice to have: Prior work in a data-as-a-service, alt-data, or web intelligence company

🏖️ Benefits

• Compensation in USD • Fully remote work • Career growth on an international company