Invisible Technologies provides performance-driven business process automation, operations outsourcing, and AI solutions to help businesses scale, cut costs, and support their teams effectively. Backed by BACKED VC.
About the role
Invisible's Data Lab works with leading AI companies to design and deliver the human data that advances model capabilities and measures performance. Our work spans the full frontier of AI training and evaluation—from supervised fine-tuning and preference data to benchmarks, red teaming, multimodal data, coding tasks, and agent environments.
What they're looking for
- Deep, demonstrable interest in how frontier AI models are trained, improved, and evaluated. You actively follow the space and can form your own views rather than simply repeat its vocabulary
- Strong working knowledge of LLM training and evaluation concepts, with the ability to reason across data modalities, collection methods, and research objectives
- Exceptional communication skills. You can listen closely, identify what is missing from an underspecified request, explain complex ideas clearly, and influence technical and non-technical stakeholders
- The judgment to challenge assumptions constructively while maintaining momentum and client trust. You know when to ask another question, when to recommend a different approach, and when to make a pragmatic call
- Enough technical fluency in ML, data systems, software architecture, APIs, and data flows to collaborate credibly with researchers and engineers and to shape implementable solutions
- Commercial judgment and comfort with rough-cut budgeting, particularly when weighing research ambition against expert availability, delivery effort, timeline, cost, and unit economics
More about this role
Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most.
Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.
Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets.
Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
Invisible's Data Lab works with leading AI companies to design and deliver the human data that advances model capabilities and measures performance. Our work spans the full frontier of AI training...
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