Senior Solutions Architect - Data Labs

What you'll do

• Own solution design from discovery and scoping through handoff and early delivery; clarify ambiguous client requests and align stakeholders.
• Advise on data and evaluation methods, task and workflow design, quality strategies, expert profiles, and commercial feasibility.
• Partner with Engineering on collection interfaces and technical architecture, test critical solution elements, and share reusable practices.

What they ask for

• Strong working knowledge of LLM training and evaluation, including reasoning across modalities, collection methods, and research objectives.
• Technical fluency in ML, data systems, software architecture, APIs, and data flows.
• Exceptional communication, stakeholder influence, and judgment in ambiguous environments.
• Commercial judgment for rough-cut budgeting and balancing research goals with expert availability, effort, timelines, costs, and unit economics.

Nice to have

• Experience with human-data programs, annotation, post-training, RLHF, RLVR, evaluations, benchmarks, red teaming, or research operations.
• Hands-on use of Python, SQL, APIs, notebooks, or lightweight prototyping.

Tools

Python, SQL, APIs

AI focus

Designs human-data programs for frontier AI training and evaluation, including supervised fine-tuning, preference data and RLHF, benchmarks, red teaming, multimodal data, coding tasks, and agent environments.