Sales Engineer for AI Model Evaluation

Evaluate how AI performs real-world technical sales work by defining excellence rather than producing sales deliverables yourself. You will create task-specific grading criteria for pre-sales artifacts and score AI-generated and human work samples, providing rigorous, written justifications so judgments are reproducible and defensible. This engagement supports a leading AI research organization studying practical technical sales performance.

• Design precise, task-specific grading criteria for real-world pre-sales and solutions-engineering deliverables, including 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, producing 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 scoring and criteria

• 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 the pre-sales craft, including 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, for example SaaS, cloud infrastructure, cybersecurity, data platforms, developer tools, or enterprise applications
• Exceptionally strong written communication, able to explain exactly 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

• Pay rate: 100 - 150 hourly

To apply, submit your resume or a summary of relevant professional background. Qualified applicants may be asked to complete a brief assessment or provide additional information to support evaluation.