Strategic Projects Lead

Job not on LinkedIn

🔥 2 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧐 Strategy

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Rise Data Labs

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

🔥 Funding within the last year

💰 Seed Round on 2026-01

Artificial Intelligence • B2B • SaaS

Rise Data Labs is a company that builds high-fidelity training data, custom evaluations, domain-expert sourcing, and reinforcement-learning environments to help AI labs and enterprise teams train, evaluate, and oversee models. They provide US-based subject-matter experts (500k+), an automated talent engine for sourcing, vetting, matching and scheduling experts, and create model-ready outputs such as tasks, rubrics, verifiers, demonstrations, and feedback loops for SFT/RLHF and tool use scenarios. Their offerings focus on realistic, tool-enabled RL environments (APIs, developer tools, browser workflows) and human-in-the-loop evaluations to surface failure modes and improve model capabilities.

📋 Description

• Own projects end to end: scope, plan, execute, iterate, and deliver datasets for leading AI labs and enterprise customers. • Be the customer's main point of contact: run check-ins, share progress, manage expectations, and surface risks early. • Translate research needs into specs: write clear guidelines, rubrics, and task designs that shape how models are trained and evaluated. • Lead expert teams: recruit, onboard, and manage domain specialists (PhDs, engineers, clinicians, lawyers, analysts) to produce work at scale. • Own quality: design QA workflows, review samples, track metrics, and continuously raise the bar on data integrity. • Improve how we operate: build playbooks, tooling requests, and processes that make the next project faster and better.

🎯 Requirements

• 2+ years of experience in project or program management, consulting, operations, or a similarly high-ownership role. • Exceptional written and verbal communication; comfortable working directly with technical customers. • Proven ability to turn ambiguous problems into structured, executable plans. • Strong attention to detail and a high bar for quality. • Comfort in fast-paced, startup environments with shifting priorities. • Bachelor's degree or equivalent practical experience. • Experience at an AI/ML company or with data annotation, RLHF, or model evaluation projects. • Background managing distributed or freelance teams. • Familiarity with LLMs and a genuine interest in how they are trained and evaluated.

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