Sales Engineering Expert - review AI outputs in your specialty

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

4\. Application Process

• Submit your resume or relevant professional background to get started

• Qualified applicants may be asked to complete a brief assessment or submit additional information