Gritter Francona is looking to hire a Data Technician to support a contract with the Veterans Affairs.

A Data Technician will support a delivery team to enter, report, and document data under the guidance of the team lead.  This position is part of a team requiring daily interactions in a collaborate environment.

Key Responsibilities:

• Data Entry and Processing: Entering, updating, and correcting data in databases, often handling high volumes of information.

• Data Integrity and Quality: Verifying data accuracy, performing data cleaning, and ensuring consistency across systems.

• Reporting and Analysis: Generating reports and extracting insights from data for operational use.

• Documentation and Security: Maintaining data documentation (dictionaries/models) and adhering to data security policies.

Requirements

• High school diploma or GED
• Familiarity with databases
• Ability to manage time and prioritization of tasks as a high level
• Ability to communication effectively with managers and customers
• Experience with tools such as ServiceNow, GitHub, Jira etc

Location: Remote - Must have a 6 hour overlap with EST

Remote | Full-time

Compensation: $150K - $225K

We are hiring on behalf of our client who is a technical infrastructure firm specializing in the delivery of massive-scale web data to organizations developing advanced artificial intelligence models. The organization supports high-capacity bandwidth-sharing networks and operates a distributed crawler capable of accessing high-quality public web data at a global scale. Additionally, the team has engineered sophisticated pipelines for the ingestion, segmentation, and annotation of billions of multimedia files, facilitating dataset creation for frontier research labs.

The organization operates as a lean, technical team that prioritizes speed and direct execution. As a Research Crawling Engineer, the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on providing high-quality inputs for research and model development.

Key Responsibilities

Location: Remote with a 6 hour overlap with EST

Remote | Full-time

Compensation: $75K - $150K

We are hiring on behalf of our client who is seeking a Web Scraping Specialist to join a specialized technical team focused on building the infrastructure that delivers massive amounts of web data for the training of advanced AI models. This organization operates a massive distributed crawler and manages complex pipelines for ingesting, segmenting, and annotating billions of data points, including videos, transcripts, and audio files.

The successful candidate will lead efforts to gather and analyze data, optimize scraping processes, and support the scaling of high-quality public web data accessibility. This role is ideal for a lean, technical builder who thrives in a fast-paced environment without bureaucratic red tape.

Key Responsibilities:

Member of Technical Staff - Model Engineer

Full-time | On-site

Location: San Francisco

We are seeking a founding Member of Technical Staff to join our core AI team and drive the modernization of a foundational global industry. This role offers the chance to work directly with the company's founders to define the technical direction and build AI from the ground up, combining hardware, software, and operations.

As a Model Engineer, you will be deeply involved in the entire lifecycle of model development, from research and data preparation to production deployment in real-world systems. You will play a crucial role in building the AI capabilities that enable a vertically integrated infrastructure platform.

What you'll do:

Founding Engineer - AI Data Cleaning & Financial Infrastructure

Location: On site - New York

Compensation: $150,000 – $250,000

We are a high-growth, YC-backed company building the clean data layer for everyone, starting with financial firms. Our platform solves complex data cleaning challenges, delivering accurate, refined data via a simple API that integrates effortlessly into existing ELT pipelines, combining the best of AI and expert human review. We are seeking a Founding Engineer to design, build, and scale our core AI-powered data systems.

This is an unparalleled opportunity to join an early team and drive both the product strategy and the technical direction of the company. You will have immense impact and ownership, working across the entire stack to create a reliable and accurate data platform. You must be a strong engineer excited to work at the intersection of production software and frontier AI/LLM technologies.

What You’ll Do:

Founding Engineer

Location: New York City, NY (100% On-site)

Compensation: $150,000 - $250,000 (Base Salary) + Significant Early-Stage Equity

We are an early-stage, YC-backed company building the future clean data layer for the internet, starting with financial firms. Our platform solves complex data cleaning, extraction, and validation problems by combining advanced AI (LLMs) with expert human review via a simple API. We're looking for a highly capable and driven Founding Engineer to join us and help build the core of our platform from the ground up. This role offers an opportunity for the right candidate to grow into a CTO-level position.

As a Founding Engineer, you will take ownership of critical systems that drive our product, working across the entire stack. You will directly influence our product strategy and technical direction, experiencing the full arc of building a successful startup.

What you'll do:

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site (minimum 3 days per week)

About the Role

Our client, a venture-backed company aiming to revolutionize the networking industry by creating a vertically integrated infrastructure provider, is seeking a Model Engineer to join their founding core AI team. This is a high-impact role focused on transforming a market with hundreds of billions in revenue by applying cutting-edge machine learning to internet infrastructure.

You will be responsible for the full lifecycle of model development, from data to production deployment, and will directly collaborate with founders to define technical vision and team culture.

What You'll Do