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Remote Data Science & Analytics Expert: AI Trainer
MercorMount PleasantMercor is seeking a Remote Data Science & Analytic Expert to contribute to Project Atlas. The role involves building realistic digital workspaces and designing tasks that challenge AI agents, leveragi
About
Key Responsibilities
Build a realistic digital workspace centered on the Drive folders you use day‑to‑day, the discovery notes, account plans, pitch decks, mutual action plans, pricing models, proposals, contract redlines, pipeline reviews, and email threads that reflect how you actually organize your work, with some representation of the platforms that support it (e.g. Slack or Teams, Jira, Confluence, etc).
Design multi‑step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents.
Collaborate with other account executives and enterprise sales experts to design the environment, shape task scope, and review each other's scenarios for realism and rigor.
Work asynchronously with research teams to refine task designs and evaluation criteria for enterprise‑sales agent benchmarks.
Contribute to frontier AI research and benchmarking; the work you produce directly informs how leading labs train and evaluate the next generation of AI systems.
Ideal Qualifications
5+ years of full‑time account‑executive or B2B enterprise‑sales experience carrying a quota.
Background in one or more areas such as: Mid‑market or enterprise SaaS sales (full‑cycle AE)
Strategic or named‑account sales with multi‑stakeholder deal cycles
Field sales, inside sales, or solutions‑led selling
New‑logo acquisition and / or expansion / renewals
Channel, partner, or co‑sell motions
Demonstrated ownership of the full sales cycle: prospecting, discovery, demo, proposal, negotiation, close.
Strong analytical thinking and writing, able to translate sales workflows into structured task specs.
Compensation Note This project is expected to pay on an effective hourly rate.
About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Backed by investors including Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey. Thousands of professionals across domains contribute to projects shaping the next generation of AI systems.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
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Languages
- English
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