Sales Engineering Expert - Evaluator

1. Role Overview Mercor is partnering with a leading AI research organization to engage experienced sales engineers for a project focused on evaluating how well AI systems perform real-world technical sales work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.
2. Key Responsibilities Design precise, task‑specific grading criteria for real‑world pre‑sales and solutions‑engineering deliverables (technical discovery plans, tailored product demonstrations, proof‑of‑concept and technical evaluation plans, security questionnaires and RFP responses, integration/API/architecture explanations, and product‑fit and technical‑risk assessments)

Score AI‑generated and human work samples against those criteria, with detailed written justifications for every score Apply consistent, evidence‑based judgment so scores are reproducible and defensible Incorporate structured feedback from senior reviewers and iterate quickly on your work 3. Ideal Qualifications 4+ years of relevant experience as a Sales Engineer, Solutions Engineer, Solutions Consultant, Pre‑Sales Consultant, or Technical Sales Consultant Deep fluency in the pre‑sales craft: leading technical discovery, translating customer requirements into product solutions, delivering tailored demos, handling technical objections, supporting proofs of concept, and evaluating product fit and technical risk Hands‑on experience with technically complex B2B software — SaaS, cloud infrastructure, cybersecurity, data platforms, developer tools, or enterprise applications Exceptionally strong written communication, with the ability to explain exactly why a piece of technical work would or would not land with both technical and business stakeholders Detail‑oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers Prior experience with AI training, evaluation, or human‑data projects is a strong plus #J-18808-Ljbffr Mercor