MercorDoradoPosted 27 Jul 2026

Sales Engineering Expert

Pay

$100–150/hr

Work

Remote · Contract · 40 hrs/wk

Experience

4+ years

Eligibility

No stated location restriction

Field

Sales & marketing

Skills

Sales EngineeringSolutions EngineeringPre-SalesTechnical DiscoveryProduct DemonstrationsProofs of ConceptSecurity QuestionnairesRFP ResponsesAPI IntegrationSoftware ArchitectureProduct-Fit AssessmentTechnical Risk AssessmentB2B SoftwareSaaSCloud InfrastructureCybersecurityData PlatformsDeveloper ToolsEnterprise ApplicationsAI EvaluationAI Training

About this role

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

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