Decision: Recruit a founding AI Software Engineer now, before product launch, to ensure technical leadership aligns with the 2025 vision. “And to do that, we need a founding AI Software Engineer who believes in this dream as passionately as we do.”
Vision: Build a virtual agent that orchestrates the entire annotation process and bring the vision to life in 2025. “This is not just an idea; it’s a vision we’re bringing to life in 2025.”
Because at Labellerr, we believe data should never be the bottleneck in faster AI adoption.
Imagine this: instead of hiring a data annotation project supervisor, you have a virtual assistant to handle your entire data annotation workflow.
- Planning the annotation process.
- Coordinating with external vendors.
- Hiring annotators.
- Managing costs and timelines.
- Human users intervene only to approve key decisions or answer vendor queries.
Training data agents – Coming Soon! #agenticai #selfservice #mlengineer #computervision #ux #ui #trainingdata
Labellerr aims to speed up vision AI agents feedback loop.
Labellerr will continue to accelerate the ability to see and understand 100x faster with its agentic data curation, labeling and quality control!
Demo focus: a practical use‑case rather than just building an MCP server.
Open‑source contribution: the demo includes open source work from our team.
First Look: Our open source QC Agent Preview is Live.
- Understands annotation guidelines
- Learns from historical correction patterns
- Handles project‑specific edge cases
- Persistent memory across review cycles