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Research Crawling Engineer

Startup Talents

Job Location:

New York City, NY - USA

Monthly Salary: USD 150 - 225

Experience Required: 5years

Posted: 24 May 2026 (30+ days ago)

Application Deadline: 21 August 2026

Vacancies: 1 Vacancy

The job posting is outdated and position may be filled

Job Summary

The employer is a decentralized Solana-based web-scraping network that allows users to monetize their unused internet bandwidth. By installing a browser extension users securely share bandwidth to help AI companies crawl the web for public data receiving Points (convertible to crypto tokens) as compensation.

They also operate a massive distributed crawler giving them unique access to high-quality public web data at global scale.

They are hiring a Research Crawling Engineer (Full remote - USA/EU 6 hour overlap with EST)

You will join a company at the forefront of developing a web-scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people.

As a Research Crawling Engineer you will design and operate large-scale web data acquisition systems for research and model development. You will work will span distributed systems scraping infrastructure and data pipelines.

This Role Involves:

- Operating at the boundary of scale and reliability

- Adapting to constantly changing web environments

- Balancing throughput coverage and data quality

- Owning end-to-end data acquisition pipelines

MISSIONS

Design high-throughput fault-tolerant systems for data collection (millions to billions of URLs/day)
Handle anti-bot systems rate limits and dynamic/JS-heavy sites
Develop pipelines for cleaning deduplication filtering and normalisation
Construct and maintain datasets for research and model training
Monitor crawl performance coverage and data quality; iterate quickly
Collaborate with research teams to align data collection with modeling needs
Optimize infrastructure for cost latency and reliability

Example Projects you could work on :

- Build a distributed crawler for a continuously updated high-quality web project

- Design a system to classify and filter billions of pages for pretraining

- Extract structured data from dynamic JS-heavy sites at scale

- Improve deduplication and quality scoring across multimodal datasets

Requirements

Strong programming experience in one or more of : Go Rust Python Java or C
Experience working for reputable companies
Experience building and maintaining large-scale web crawlers or large-scale data pipelines
Experience designing high-throughput fault-tolerant systems for data collection (millions to billions of URLs/day)
Experience handling anti-bot systems rate limits and dynamic/JS-heavy sites
Experience constructing and maintaining datasets for research and model training
Solid understanding of HTTP networking and browser behavior
Familiarity with distributed systems and parallel processing
Experience working with large datasets (TBPB scale preferred)
Ability to debug unstable or adversarial environments

Preferred / Bonus:

Experience with NLP pipelines or dataset curation for ML
Familiarity with LLM pretraining data or retrieval systems
Experience with headless browsers (e.g. Chrome DevTools Protocol Playwright Puppeteer)
Knowledge of proxy systems IP rotation and large-scale request orchestration
Background in data quality evaluation or benchmarking
Experience running workloads on cloud or bare-metal infrastructure

Main Evaluation Criteria:

Ability to design systems that scale without degrading quality
Practical problem-solving under real-world constraints
Speed of iteration and ownership
Measurable improvements in data coverage quality or efficiency

Benefits

Contract : Permanent role (Full remote - USA or 6 hour overlap with EST).
Salary : $150k to $225k based on experience and demonstrated ability to operate at scale Equity package / tokens

Recruitment process :