Technical Project Associate

Abaka AI•Mountain View, CA

2d•$70,000 - $140,000

About The Position

As a Technical Project Associate at Abaka AI, you will help design, build, and scale the operational systems that power large-scale AI data annotation and quality control programs. This is a highly cross-functional role focused on solving operational challenges through automation, workflow design, and internal tooling. You will work closely with Project Managers, Operations teams, Reviewers, and Leadership to identify inefficiencies, improve visibility, and build scalable systems that increase quality and productivity across the organization. Leveraging modern AI coding agents and automation platforms, you will help transform manual processes into efficient, repeatable workflows. This is an ideal opportunity for someone who enjoys combining technical problem-solving with operational impact and wants hands-on exposure to fast-moving AI infrastructure and data operations.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, Industrial Engineering, or a related technical field
Strong technical foundation in software development, automation, systems building, or operational tooling
Experience improving business or operational processes through automation and tooling development: building projects, scripts, automations, or internal tools using Python or similar programming languages
Experience improving business or operational processes through automation and tooling development
Familiarity with AI coding agents and AI-assisted development tools such as Claude Code, Codex, Cursor, GitHub Copilot, or similar platforms
Understanding of APIs, workflow automation, system integrations, and structured data management concepts
Familiarity with databases, data modeling, and operational data workflows
Experience building or maintaining workflows using platforms such as Airtable, Retool, Zapier, n8n, Make, or similar tools
Strong analytical thinking and problem-solving abilities
Excellent communication and cross-functional collaboration skills
Self-motivated, proactive, and comfortable operating in fast-paced, ambiguous environments
Ability to quickly learn new tools, systems, and operational workflows

Nice To Haves

Experience building workflow automation systems, internal operational tools, or reporting dashboards
Familiarity with cloud infrastructure and developer tools such as AWS, GCP, Docker, Airflow, or similar technologies
Experience supporting data annotation, AI training, data operations, or quality assurance workflows
Previous experience as a reviewer, QA/QC specialist, trainer, or operations analyst
Interest in AI, machine learning, and large-scale data infrastructure

Responsibilities

Design, build, improve, and maintain internal workflows, automation systems, and operational tooling for data annotation and quality control programs
Develop scripts, integrations, and AI-assisted solutions that reduce manual work and improve operational efficiency
Build and maintain dashboards, reporting systems, and data management workflows that improve visibility across projects
Collaborate with Project Managers, Operations teams, Reviewers, and Leadership to identify bottlenecks and implement scalable solutions
Monitor workflow performance, troubleshoot operational issues, and resolve data inconsistencies
Leverage AI coding agents and AI-assisted development tools to rapidly prototype, test, and deploy process improvements
Create systems that improve reviewer productivity, quality control accuracy, project tracking, and operational reporting
Document internal tools, workflows, and best practices to support long-term scalability
Proactively identify opportunities for automation and operational optimization instead of only executing predefined tasks
Support cross-functional initiatives as Abaka AI continues to scale globally