Why This Job is Featured on The SaaS Jobs
This Data Annotation Operations Expert role sits at the intersection of SaaS operations and applied AI, where product quality is heavily influenced by the reliability of training and evaluation data. With a focus on voice and video annotation delivery, the position reflects a growing need across SaaS companies building speech, vision, and multimodal capabilities to run repeatable, measurable data pipelines rather than one-off projects.
From a SaaS career perspective, the work builds durable operational skills that translate across data-driven product organisations: setting up workflows, defining quality controls, managing throughput, and creating documentation that scales. Exposure to reporting and delivery metrics also aligns with how SaaS teams typically manage ongoing performance, making this a useful foundation for progressing into broader operations, program management, or quality leadership roles supporting machine learning enabled products.
The role is best suited to professionals who prefer structured execution and high ownership over day-to-day delivery details. It will fit someone comfortable coordinating multiple stakeholders, improving processes as patterns emerge, and balancing speed with quality requirements. Candidates interested in the operational backbone behind voice and video features in SaaS products should find the scope particularly relevant.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Job Title: Data Annotation Operations Expert
Role Overview
We are looking for a smart and detail-oriented Data Annotation Operations Expert to support delivery of voice and video annotation projects for Blue Machines and Cartesia. This role will focus on project coordination, onboarding, training, quality processes, and day-to-day delivery management.
Key Responsibilities
- Coordinate end-to-end delivery of voice and video annotation projects
- Manage onboarding and training of evaluators and QC resources
- Track daily progress, quality, and timelines across projects
- Support process setup, documentation, and SOP creation
- Identify delivery risks and escalate issues proactively
- Work closely with internal stakeholders to ensure smooth execution
- Maintain reporting on project status, output, and quality metrics
- Minimum 2 years of experience in voice (mandatory) and video data annotation services
- Experience in voice annotation is mandatory, video annotation is preferred
- Strong understanding of transcription, annotation workflows, and QC processes
- Ability to manage project coordination and day-to-day delivery operations
- Strong communication, problem-solving, and stakeholder management skills
- Comfortable working in a fast-paced office environment
Good to Have
- Exposure to AI/ML data projects
- Experience with multilingual or Hinglish datasets
- Experience creating training material or annotation SOPs
