Abaka AI
Technology
TechnicalProjectAssociate
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Technical Project Associate at Abaka AI. Skills: Operational systems, Automation, Workflow design, Internal tooling. Design internal workflows. Build internal workflows”
What You'll Achieve.
Increase quality; Increase productivity; Improve visibility; Reduce manual work; Improve operational efficiency
Industry & Context.
Problem-solving abilities; Troubleshoot operational issues; Resolve data inconsistencies; Identify bottlenecks
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Bachelor's degree in Computer Engineering, Bachelor's degree in Data Engineering, Bachelor's degree in Information Systems, Bachelor's degree in Industrial Engineering, technical foundation in software development, technical foundation in automation, technical foundation in systems building, technical foundation in operational tooling, Experience improving business processes through automation, Experience improving operational processes through automation, building projects using Python, building scripts using Python, building automations using Python, building internal tools using Python, Experience improving business processes through tooling development, Experience improving operational processes through tooling development, building projects using similar programming languages, building scripts using similar programming languages, building automations using similar programming languages, building internal tools using similar programming languages, Familiarity with AI coding agents, Familiarity with AI-assisted development tools, Understanding of APIs, Understanding of workflow automation, Understanding of system integrations, Understanding of structured data management, Familiarity with databases, Familiarity with data modeling, Familiarity with operational data workflows, Experience building workflows using Airtable, Experience building workflows using Retool, Experience building workflows using Zapier, Experience building workflows using n8n, Experience building workflows using Make, analytical thinking abilities, problem-solving abilities, Excellent communication skills, cross-functional collaboration skills, Self-motivated, proactive, comfortable operating in fast-paced environments, comfortable operating in ambiguous environments, Ability to quickly learn new tools, Ability to quickly learn new systems, Ability to quickly learn new operational workflows
Nice to Have
Experience building workflow automation systems, Experience building internal operational tools, Experience building reporting dashboards, Familiarity with cloud infrastructure, Familiarity with developer tools, Experience supporting data annotation workflows, Experience supporting AI training workflows, Experience supporting data operations workflows, Experience supporting quality assurance workflows, Previous experience as a reviewer, Previous experience as a QA/QC specialist, Previous experience as a trainer, Previous experience as an operations analyst, Interest in AI, Interest in machine learning, Interest in large-scale data infrastructure
What You'll Do.
Design internal workflows
Build internal workflows
Improve internal workflows
Maintain internal workflows
Design automation systems
Build automation systems
Improve automation systems
Maintain automation systems
Design operational tooling
Build operational tooling
Improve operational tooling
Maintain operational tooling
Develop AI-assisted solutions
Build reporting systems
Maintain reporting systems
Build data management workflows
Maintain data management workflows
Collaborate with Project Managers
Collaborate with Operations teams
Collaborate with Reviewers
Collaborate with Leadership
Implement scalable solutions
Monitor workflow performance
Troubleshoot operational issues
Resolve data inconsistencies
Leverage AI coding agents
Leverage AI-assisted development tools
Rapidly prototype process improvements
Rapidly test process improvements
Rapidly deploy process improvements
Create systems that improve reviewer productivity
Create systems that improve quality control accuracy
Create systems that improve project tracking
Create systems that improve operational reporting
Document internal tools
Document best practices
Identify opportunities for automation
Identify opportunities for operational optimization
Support cross-functional initiatives
How You'll Work.
Team & Collaboration
Cross-functional teams; Project Managers; Operations teams; Reviewers; Leadership
Communication Scope
Cross-functional collaboration
Full Job Description
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 th
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