AI Evaluation Architect for Sales Engineering

Mercor; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

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. You will define what excellent work looks like by designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

You will design precise evaluation criteria for real-world pre-sales deliverables, score AI-generated and human samples with

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.

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.

Skills

Sales engineering experience

Pre-sales craft

Written communication

Judgment & calibration

AI training/evaluation exposure

Tools

B2B software landscape

Job description

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. You will define what excellent work looks like by designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

You will design precise evaluation criteria for real-world pre-sales deliverables, score AI-generated and human samples with