Sales Engineering Expert - Evaluator

Obsidian; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Mercor partners with a leading AI research organization to create a role focused on evaluating real-world pre-sales and solutions engineering work. You will define grading criteria and score samples with rigorous written justifications, shaping how excellent technical work is judged.

You will apply consistent, evidence-based judgment, iterating with senior reviewers and providing structured feedback to ensure reproducibility and defensibility of every score.

Qualifications

• 4+ years of relevant experience as a Sales Engineer, Solutions Engineer, or similar.
• Deep fluency in pre-sales: discovery, product solutions, demos, and proofs of concept.
• Experience with complex B2B SaaS, cloud, cybersecurity, data platforms or enterprise apps.
• Exceptional written communication able to justify technical judgments.
• Detail-oriented with peer-review calibration experience is a plus.

Responsibilities

• Design precise, task-specific grading criteria for real-world pre-sales deliverables.
• Score AI-generated and human work samples with detailed written justifications.
• Apply consistent, evidence-based judgment so scores are reproducible.
• Incorporate structured feedback from senior reviewers and iterate quickly.

Skills

Sales engineering

Pre-sales

Technical discovery

Demos

Written communication

Job description

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