Program Lead

$45–70/hr

rate as listed

Workload: 40 hrs/week
Engagement: Project-based
Location: US
Field: Generalist

Lead day-to-day delivery for AI training data, human data and model evaluation programs, coordinating large pools of domain experts against quality and throughput targets. The role combines contributor operations, guideline development, submission evaluation, metric tracking and cross-functional issue resolution.

The work

You would run the daily operating cadence for a large pool of domain experts: onboarding contributors, leading calls and weekly reviews, monitoring deadlines, evaluating submissions and giving written feedback. You would also translate research and product goals into task instructions, investigate quality trends and coordinate fixes with research, product and operations partners.

What the platform screens for

The screen is likely to focus on direct experience with AI training data, human data or model evaluation programs, plus at least three years leading or coordinating large contributor or expert teams. Expect follow-ups about your career progression, the scale and cadence of programs you managed, the metrics you owned, how you resolved ambiguous guidelines and how your decisions affected quality or throughput.

Tools and preferred background

You should be able to track deliverables, throughput and quality in Sheets or Excel and explain program status clearly. Preferred qualifications include prior experience on Mercor projects, a STEM degree, advanced Sheets or Excel skills, working knowledge of SQL, some coding experience and people leadership involving large groups of contributors or experts.

Logistics

This is a W-2 position with Cincinnatus LLC, with potential placement at a leading AI lab as part of its extended workforce. The commitment is at least 40 hours per week during weekdays; the listing does not specify remote, location or asynchronous-work arrangements.

Pay band: $45–70/hr

What they look for

AI training data, human data or model evaluation program leadership
3+ years leading or coordinating large contributor or expert teams
Day-to-day contributor onboarding, review and delivery management
Translation of research inputs into actionable guidelines and task instructions
Quality evaluation, root-cause analysis and written feedback
Spreadsheet-based tracking in Sheets or Excel

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether your claimed progression is verifiable and grounded in increasingly broad ownership of contributors, quality decisions and delivery outcomes.
A strong answer: Give a chronological account with project types, role changes, approximate team scope and the responsibilities added at each step. Distinguish direct program ownership from participation as a contributor or reviewer.
Where people lose it: Candidates lose points when they use senior titles without explaining what changed in their authority, team scope or accountability for program results.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.