Sales Engineer for AI Evaluation

Evaluate how well AI systems perform real-world technical sales work by defining excellence and judging completed work samples. Rather than producing sales deliverables yourself, you will create task-specific grading rubrics and assign scores to AI-generated and human submissions, providing rigorous, evidence-based written justifications for each score.

• Design precise, task-specific grading criteria for pre-sales and solutions-engineering artifacts, including technical discovery plans, tailored product demonstrations, proof-of-concept and technical evaluation plans, security questionnaires and RFP responses, integration API and architecture explanations, and product-fit and technical-risk assessments
• Score AI-generated and human work samples against those criteria, and provide a detailed written justification for every score
• Apply consistent, evidence-based judgment so scores are reproducible and defensible
• Incorporate structured feedback from senior reviewers and iterate quickly on grading rubrics and scoring work

• Minimum 4 years of relevant experience in roles such as Sales Engineer, Solutions Engineer, Solutions Consultant, Pre-Sales Consultant, or Technical Sales Consultant
• Deep fluency in pre-sales activities, including leading technical discovery, translating customer requirements into 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, for example SaaS, cloud infrastructure, cybersecurity, data platforms, developer tools, or enterprise applications
• Exceptionally strong written communication, able to explain precisely why a piece of technical work would or would not resonate with both technical and business stakeholders
• Detail-oriented and consistent, comfortable having your judgment reviewed and calibrated against peers
• Prior experience with AI training, evaluation, or human-data projects is a strong plus

• Location: Remote
• Engagement type: hourly

• Rate: 100 - 150 hourly

Submit your resume or a summary of relevant professional experience to begin the review. Qualified candidates may be asked to complete a brief assessment or provide additional materials as part of final evaluation.