About Abaka AI
Abaka AI is built on one mission: to be the world’s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley—and teams in Paris, Singapore, and Tokyo—we support global partners with fast, reliable, and scalable data solutions.
Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.
About the Role
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.
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
Qualifications
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
Preferred Qualifications
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
Compensation & Benefits
The base salary range for this position is $70,000 - $140,000 USD annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).
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