Teams at Gramian Consulting Group

Conduct research on frontier AI systems, including synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation. Design rigorous experiments, datasets, prototypes, tooling, and research workflows; train and assess models; analyze results; and translate findings into scalable AI products. Collaborate across research, engineering, product, and operations teams, communicate technical conclusions, contribute to publications or open-source work, and mentor engineers and researchers.

Leads large-scale AI and software-engineering data programs, owning delivery scope, timelines, quality, throughput, contributor performance, and cost. Designs workflows, quality-control systems, metrics, and capacity plans for coding datasets, agentic trajectories, benchmarks, and evaluations. Manages distributed contributor and reviewer networks, partners with talent teams, communicates with AI-lab customers, analyzes operational data, and converts successful processes into reusable playbooks and evaluation assets.

Opportunity for software developers, founders, engineering teams, and code owners to submit existing repositories for licensing evaluation. Eligible code includes abandoned startups, personal projects, internal tools, SaaS products, and discontinued applications. Applicants must own or legally control the code and exclude unauthorized third-party material. Compensation is based on agreed licensing terms, with reference rates for non-exclusive licensing.