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OpenTrain is seeking a Venture Capital AI Training Associate to create and review AI training data that reflects real VC workflows. You will translate investment analysis into high-quality tasks and ensure outputs reflect sound VC judgment.
You will design tasks covering deal screening, market sizing, and competitive analysis, while validating projections and scenario analyses for early-stage and growth startups.
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is the hiring and contracting organization for this remote opportunity, helping contributors build a credible portfolio while working on projects that shape how modern AI systems learn.
AI training is the human side of building artificial intelligence. Specialists create examples, write evaluations, and review model outputs so AI systems can learn accurate reasoning and useful behavior. In this role, your venture capital expertise will help models understand how investment professionals assess companies, markets, founders, and decisions.
OpenTrain is recruiting a Venture Capital AI Training Associate to build datasets that capture the nuanced workflows of modern venture capital. You will translate authentic investment analysis into high-quality tasks and judgments, then assess whether AI-generated content reflects accurate pattern matching, realistic market sizing, and sound VC judgment.
This is a remote, part-time contractor opportunity paying $45-$100 per hour. The expected time commitment is 20 or more hours per week. English-language work is available in the listed eligible countries.
You will design, review, and refine AI training tasks based on real venture capital workflows. The work requires rigorous analysis comparable to the depth expected in partner meetings and investment committee discussions.
This role is intended for an individual contractor who can apply genuine venture capital judgment to the creation and review of AI training data. Candidates should have three to six or more years of experience in venture capital, growth equity, or startup operations with substantial deal evaluation exposure.
An MBA, master's degree in finance, or equivalent advanced degree is welcome but not required by the source requirements. An operator or founder background with substantial exposure to investment evaluation can also be useful, as can experience across multiple company sectors.
People with specialized expertise are helping define how advanced AI systems reason, evaluate evidence, and communicate. OpenTrain gives contributors a place to discover fitting work, build a unified profile, and turn AI training and data-labeling projects into a durable professional portfolio.