Technical Sales AI Evaluation Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help people discover projects across the industry, build a lasting professional profile, and apply for opportunities in minutes. Creating an OpenTrain account is free.

About AI Evaluation Work

AI evaluation is the human side of building better artificial intelligence. Experts create examples, assess model responses, and develop clear standards that help AI systems become more accurate, useful, and reliable. This work offers a chance to apply your professional judgment to cutting-edge technology in a flexible, fully remote setting.

The Role

OpenTrain is seeking a Technical Sales AI Evaluation Expert to create high-quality training and evaluation data for frontier AI systems. You will bring technical sales and scientific solutions expertise to tasks that test technical discovery, customer-requirement analysis, solution fit, product positioning, and complex technical communication.

This role combines sales engineering judgment with the creation of gold-standard examples and grading frameworks for model evaluation. The engagement is remote, lasts nine weeks, and is structured as a part-time contractor opportunity.

• Engagement type: Remote contractor
• Duration: 9 weeks
• Expected commitment: At least 4 hours per day and up to 40 hours per week
• Required overlap: 4 hours with Pacific Time
• Language: English
• Geography: Worldwide

What You'll Do

You will design realistic, expert-level technical sales content and evaluate whether scenarios, solutions, and specifications are accurate, realistic, and solvable using the provided documentation. You will also incorporate senior-review feedback and maintain project quality benchmarks and milestones.

• Create expert-level technical and scientific sales tasks and gold-standard solutions.
• Author buyer-seller scenarios involving technical discovery, customer-requirement mapping, solution-fit evaluation, RFP responses, and technical objection handling.
• Develop technical prompts, structured rubrics, discovery briefs, technical proposals, solution architectures, comparison matrices, and demo plans.
• Apply grading frameworks to evaluate model outputs and task quality.
• Verify technical specifications and ensure scenarios are accurate, realistic, and solvable from provided documentation.
• Incorporate calibration feedback through senior review and refine task designs.
• Maintain project quality benchmarks and milestones.

Requirements

The role calls for approximately three to eight years of hands-on experience in technical sales, sales engineering, scientific sales, or solutions architecture. The listing is marked entry level in the project information, but the detailed role requirements emphasize practical experience and professional technical judgment.

• Technical sales, sales engineering, scientific sales, or solutions architecture experience.
• A relevant STEM background, such as engineering, biotechnology, chemistry, software, or clinical sciences.
• Experience leading technical discovery calls and mapping customer requirements to solution architectures.
• Ability to evaluate technical feasibility, handle technical objections, and develop value propositions.
• Experience producing discovery briefs, technical proposals, RFP responses, or comparable sales artifacts.
• Strong analytical judgment for interpreting technical specifications and identifying customer pain points.
• Excellent written communication for buyer-seller scenarios, technical prompts, structured rubrics, and professional sales artifacts.
• A bachelor's degree or equivalent practical experience.

Helpful Background

Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is helpful but not required. Independent work, careful attention to scientific and technical accuracy, and the ability to incorporate feedback and iterate are important for success.

• AI evaluation or data annotation experience.
• Content review or quality assurance experience.
• Careful review of scientific and technical accuracy.
• Ability to work independently and improve deliverables based on feedback.

Why Work With OpenTrain

AI training and data labeling are among the fastest-growing ways to work in technology. Contributors help shape how modern AI systems understand technical information, communicate with users, and make decisions.

OpenTrain gives you a place to build a credible AI-training portfolio, discover projects that match your expertise, and develop experience in an industry focused on the future of work.

• Work remotely from anywhere in the world.
• Apply specialized professional expertise to frontier AI systems.
• Build a profile that showcases your AI-training and evaluation experience.
• Work on a defined contractor engagement with flexible part-time capacity.