Manufacturing AI Training Specialist — Task Creation & Model Evaluation (Contract)
As a Manufacturing AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for the manufacturing domain.
Rather than traditional annotation and labeling, this role centers on benchmark task creation and evaluation: you'll draw on your real professional experience to author realistic, economically valuable manufacturing tasks and rubrics, then grade AI-generated deliverables against them.
What We Offer
At Rise Data Labs, we value our contributors and strive to create a supportive, flexible working environment.
We offer opportunities for professional development in the AI field and the chance to work on innovative projects that directly shape the future of AI in manufacturing and industrial work.
Responsibilities
Author realistic task scenarios drawn from your own professional experience — e.g., analyzing production data, building cost or capacity models, evaluating supplier quotes, or reviewing technical specs.
Supply the kinds of reference materials you'd use on the job (spreadsheets, CAD/engineering files, procurement documents).
Write detailed rubrics defining what a correct, high-quality deliverable requires — specific calculations, formatting, and structure a client would expect.
Grade AI-generated deliverables (often Excel models or technical documents) against your rubric and professional judgment.
Participate in calibration sessions with other experts to align scoring standards across the benchmark.
Preferred skills
Bachelor's or Master's degree in Industrial Engineering, Mechanical Engineering, Operations, or a related field.
Prior hands-on experience in manufacturing operations, production management, or supply chain/procurement.
Comfort working in Excel-heavy workflows (cost models, BOMs, capacity planning).
Prior experience with AI model training, evaluation, or benchmark development is a plus.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.