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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