Who We Are:
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
The Role:
We are looking for a Machine Learning Engineer with strong skills and significant experience developing machine learning models. You will join a small, innovative team and lead efforts to advance our capabilities, drive model development, and support our vision for a future where Grass is transformative in the internet's evolution.
Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team.
Who You Are:
Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.
A minimum of 3 years of work or research experience dealing with large datasets.
Experience working with large-scale text datasets, NLP pipelines, or data preparation for LLM training is highly preferred.
Strong coding skills in Python or other object-oriented programming languages.
Experience with text deduplication, dataset filtering, corpus curation, or data distillation is a strong plus.
Graduate-level knowledge of statistics, including but not limited to hypothesis testing, regression analysis, and probability.
Excellent work ethic and the ability to thrive in a fast-paced startup environment.
Strong problem-solving skills and attention to detail.
Good communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.
Experience working in a high-output team.
What You'll Be Doing:
Developing data processing pipelines and machine learning solutions for large-scale NLP and LLM applications, including improving the quality, filtering, and preparation of training datasets.
Designing and implementing pipelines for processing and analyzing large datasets.
Analyzing and interpreting complex time series data to provide actionable insights and solutions.
Designing, implementing, and maintaining data-driven models and algorithms.
Developing techniques for dataset curation to improve the quality and efficiency of AI training data.
Building scalable pipelines for filtering, deduplicating, and improving large-scale text datasets used for LLM training.
Collaborating with cross-functional teams to understand data needs and deliver timely solutions.
Ensuring data quality and integrity throughout all processes.
Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data.
Continuously researching and implementing best practices in data science and machine learning.
Contributing to the development and improvement of internal data processing tools and infrastructure.
Why Work With Us:
Opportunity. We are 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.
Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.
We prioritize low ego and high output. This is a fully remote team.
Compensation. You’ll receive a competitive salary & benefits.
Who We Are:
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
Overview:
As a Research Crawling Engineer, you will design and operate large-scale web data acquisition systems for research and model development. Your work will span distributed systems, scraping infrastructure, and data pipelines.
Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team.
Responsibilities:
Build and maintain large-scale web crawlers across diverse domains
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 normalization
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
Requirements:
Strong programming experience in one or more of: Go, Rust, Python, Java, or C++
Experience building web crawlers or large-scale data pipelines
Solid understanding of HTTP, networking, and browser behavior
Familiarity with distributed systems and parallel processing
Experience working with large datasets (TB–PB 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
What 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
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
Compensation:
Based on experience and demonstrated ability to operate at scale
Example Projects:
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
Why Work With Us:
Opportunity. We are 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.
Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.
We prioritize low ego and high output. This is a fully remote team.
Compensation. You’ll receive a competitive salary & benefits.
Who We Are:
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
The Role:
We are seeking a Senior Backend Engineer with deep expertise in backend development, particularly in data pipeline infrastructure. In this role, you will join a small, high-performing team to design and architect scalable systems, drive technical excellence, and help advance Grass’s role in shaping the future of the internet.
Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team.
Who You Are:
7+ years of experience in software development, with a track record of writing high-quality, maintainable, and robust code.
Bachelor’s or Master’s degree in a STEM field, or equivalent practical experience.
Strong experience building and scaling large, distributed systems.
Deep expertise in designing, troubleshooting, and optimizing complex, live software systems.
Hands-on experience with modern development practices, including continuous integration and continuous deployment.
Strong analytical and problem-solving skills, particularly in diagnosing and resolving data flow and system performance issues.
Professional or native English proficiency.
What You'll Be Doing:
Design, build, and optimize scalable data pipeline infrastructure for real-time and batch data processing.
Develop new backend features and system improvements, focusing on reliability and performance.
Write clear, well-tested, and well-documented code.
Create and review technical designs, code, and documentation to maintain high engineering standards.
Contribute to Wynd’s infrastructure across mobile, desktop, and server-side systems.
Technologies Used:
Golang, Python, Redis Clusters, Kubernetes.
Why Work With Us:
Opportunity. We are 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.
Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.
We prioritize low ego and high output. This is a fully remote team.
Compensation. You’ll receive a competitive salary & benefits.
Who We Are:
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
The Role:
We are seeking a hands-on Backend Engineer to join a small, dynamic engineering team and help build, improve, and operate the backend services and production tooling that support reliable web data acquisition at scale.
This role is ideal for someone who enjoys coding, cares about the quality of what they ship, and can work with a high degree of independence. You should be comfortable taking a high-level objective, figuring out what needs to be done, and driving it through to a reliable production result without requiring close supervision.
Please note: This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team.
Who You Are:
Acts with integrity and seeks out responsibility
Demonstrates resilience, resourcefulness, and motivation for getting things done
Organized and process-driven
Approaches challenges as opportunities
Curious and challenges personal assumptions regularly
Welcomes feedback and open dialogue
Values team success over personal recognition
What You'll Be Doing:
Build and improve backend code primarily in TypeScript.
Set up and maintain metrics dashboards for production systems.
Update existing code to support new metrics and improve system observability.
Set up alerts and work closely with DevOps to optimize production systems.
Automate deployments and operational reporting to Slack.
Test systems in production, identify and troubleshoot issues, and fix bugs.
Help clean up and improve the existing codebase.
Write and maintain automated tests.
Improve and optimize deployment processes.
Implement code enhancements as new requirements emerge.
Skills, Requirements and Qualifications:
Bachelor’s degree or equivalent work experience.
2+ years of experience in a backend software engineering role.
Solid TypeScript development skills and strong backend software engineering fundamentals.
Good understanding of metrics, monitoring, and alerting, with the ability to debug and troubleshoot production systems.
Ability to write clean, maintainable, well-tested code and make reliable improvements to existing systems.
Nice to have:
Experience with Go.
Experience with Datadog, OpenObserve, and/or building Slack bots or integrations.
Familiarity with web scraping and browser automation, including Playwright.
Why Work With Us:
Opportunity. We are 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.
Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.
We prioritize low ego and high output. This is a fully remote team.
Compensation. You’ll receive a competitive salary & benefits.
Who We Are:
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
The Role.
We are seeking a Jr Operations Associate who will support the Operations Managers and Chief of Staff in keeping day-to-day business operations running smoothly. This is an early-career role for someone who is organized, eager to learn, and ready to take on real operational work — from record-keeping and admin to assisting with finance, contracts, and process improvements — with clear guidance from ops leadership.
Who You Are.
Acts with integrity and seeks out responsibility.
Demonstrates resourcefulness, and motivation for getting things done.
Approaches challenges as opportunities.
Curious and eager to learn.
Welcomes feedback and open dialogue.
Process driven.
Meticulous about accuracy and follow-through. You close loops and don’t let details slip.
What You'll Be Doing.
Supporting accurate, organized record-keeping across Google Drive, Notion, and archives, including timely updates and version control.
Assisting with accounts payable/receivable workflows: invoice processing, tracking, reconciliations, and follow-ups.
Helping maintain contract and compliance document workflows under the guidance of Operations Managers.
Preparing operational documents such as reports, spreadsheets, and briefing notes.
Supporting administration of tools and systems (Google Workspace, accounts/licenses) and monitoring shared inboxes as needed.
Collaborating across teams to keep operational work moving smoothly.
Contributing to process improvements and special projects that expand what the ops team can deliver.
Skills, Requirements and Qualifications.
Recent graduate, Bachelor degree, or 0–2 years of experience in an administrative, operations, finance, or project coordination role.
Strong attention to detail and organization; comfortable managing multiple small workstreams with clear priorities.
Proficiency with Google Workspace (Docs, Sheets, Drive); familiarity with Notion or similar tools is a plus.
Comfort working with numbers, invoices, and structured processes; prior exposure to AP/AR or bookkeeping is helpful but not required.
Strong written and verbal communication skills.
Eager to learn financial operations, compliance, and contract workflows in a fast-paced environment.
Comfortable in a remote, dynamic team where priorities can shift.
Why Work With Us:
Opportunity. We are 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.
Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.
We prioritize low ego and high output. This is a fully remote team.
Compensation. You’ll receive a competitive salary & benefits.
Who We Are:
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
The Role.
We are looking for a hands-on, technically strong Product Manager who can turn complex infrastructure challenges into products that deliver real impact.
You will work directly with engineering and leadership in a small, highly technical team, driving product initiatives from concept to launch and shaping the direction of our data infrastructure and AI products.
This is a high-ownership role for someone who thrives in ambiguity, moves fast, and enjoys building from the ground up.
Please note: This role requires a work schedule that overlaps sufficiently with EST business hours to collaborate effectively with the team.
Who You Are:
A builder who enjoys turning ambitious ideas into real products.
You take initiative, move fast, and thrive in ambiguity.
Pragmatic and outcome-driven, with strong judgment.
Independent and adaptable, comfortable working in a lean, fast-moving team.
What You Will Be Doing:
Define product priorities, shape the roadmap, and drive projects from concept to launch.
Partner directly with engineering and leadership to define requirements, align priorities, and deliver solutions.
Identify product opportunities across web data infrastructure, data pipelines, and AI-related products.
Balance technical feasibility, business impact, and speed when making product decisions.
Measure product performance and use insights to guide continuous improvement.
Skills, Requirements and Qualifications:
Bachelor’s degree or equivalent work experience
Proven experience building and shipping technical products, ideally from scratch or in early-stage environments.
Strong understanding of APIs, infrastructure, data systems, or distributed architectures, with the ability to translate technical needs into actionable product requirements.
Experience defining roadmaps and prioritizing work using data, with a record of delivering measurable results.
Nice to have: Experience with AI/ML infrastructure, data platforms, developer tools, or web-scale technologies.
Why Work With Us:
Opportunity. We are 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.
Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.
We prioritize low ego and high output. This is a fully remote team.
Compensation. You’ll receive a competitive salary & benefits.
Who We Are:
We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.
We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.
We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.
The Role:
We are seeking a hands-on AI Automation Engineer to come in for a fixed engagement and rebuild how our marketing, growth and community work gets done. Today, producing and distributing our content and running our community takes roughly 10 hours of manual work per cycle. Your goal is to bring that to about 2, with the remaining time spent on judgment, approvals and relationships rather than copy-pasting, formatting and scheduling.
This role is ideal for someone who enjoys building, cares about the quality of what they ship, and can work with a high degree of independence. You should be comfortable taking a high-level objective, auditing how the work is done today, deciding what to automate and what to leave human, and driving it through to reliable workflows our team runs without you after the engagement ends.
Who You Are:
Acts with integrity and seeks out responsibility
Demonstrates resilience, resourcefulness, and motivation for getting things done
Organized and process-driven
Approaches challenges as opportunities
Curious and challenges personal assumptions regularly
Welcomes feedback and open dialogue
Values team success over personal recognition
What You'll Be Doing:
Map how a blog post gets made today, from idea to published, time each step, and set a baseline we can measure against.
Build automated workflows and agents for the rote parts of blog production: research and source gathering, briefs and outlines, first drafts, fact and link checks, SEO metadata, formatting and publishing to our CMS, with a human edit and approval step before anything goes live.
Encode our brand voice into reusable prompts, style guides and examples so drafts need light edits, not rewrites.
Automate the creation of marketing and sales collateral (one-pagers, case studies, slide decks, email sequences) from templates and our existing content, product docs and customer stories.
Turn each published post into on-brand drafts for X, LinkedIn and our community channels.
Document every workflow and run a handoff so the team can operate and adjust it after you leave.
Skills, Requirements and Qualifications:
2+ years building automation, integrations or internal tooling, with at least some of it for marketing, growth or community teams.
Hands-on experience building production workflows with LLM APIs (e.g. Claude, OpenAI), including prompt design, structured outputs and evaluating output quality.
Proficiency with a workflow platform such as n8n, Make or Zapier, plus enough Python or TypeScript to go beyond what no-code tools can do.
Experience connecting social, email, CRM, and community platform APIs, and handling auth, rate limits, and failures gracefully.
A portfolio of workflows you have shipped that are still running, and the ability to walk us through the before-and-after.
Strong written judgment: you can tell when AI output is on-brand and when it isn't.
Nice to Have:
Experience building Discord, Telegram, or Slack bots.
Experience with retrieval over company docs (RAG) for support or FAQ assistants.
Familiarity with marketing analytics and attribution tools.
A background in marketing, content, or community yourself.
Why Work With Us:
Opportunity. We are 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.
Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.
We prioritize low ego and high output. This is a fully remote team.
Compensation. You’ll receive a competitive salary & benefits.