Teams at Weekday, Inc.

Expert reviewers will evaluate UK-law answers generated by two AI platforms. They will run identical prompts, compare outputs, score responses using a standardized rubric, and provide concise written feedback. The role requires at least two years of primarily law-firm experience in corporate, M&A, or transactional practice, UK qualification to practise, strong UK corporate and commercial law knowledge, fluent English, independence, and deadline management. The initial commitment is approximately 10 hours, with potential for additional work under an NDA.

Build and evaluate advanced Excel finance tasks for AI training data. Responsibilities include creating financial models and analyses, designing realistic finance scenarios, writing solutions, reviewing task accuracy, providing feedback, and collaborating with subject matter experts. The role requires advanced Excel skills, including formulas, PivotTables, dashboards, Power Query, Power Pivot, macros, and VBA, plus professional finance experience in areas such as private equity, investment banking, hedge funds, equity research, accounting, or FP&A.

Build and evaluate MLOps and ML systems tasks for frontier AI training data. Responsibilities include designing technical challenges, writing solutions and evaluation rubrics, profiling and optimizing GPU workloads, debugging distributed systems, improving model performance, and supporting high-throughput LLM inference. The role requires production experience with ML infrastructure, serving systems, GPU accelerators, JAX or PyTorch, and strong technical communication.