Talent Operations Assistant
Extended team
$12 - $15/hourpay
Required Skills
Large scale onboarding
Client communication
Deep Ownership
Customer management
Job Description
Job Title: Talent Ops Manager
Job Type: Full-time
Location: Remote
Scope
Scale the human data engine behind frontier AI systems. Own onboarding, talent activation, and client success across high-velocity AI training deployments. Operate at the intersection of data, operators, and enterprise delivery.
What You’ll Own
- Run large-cohort onboarding at scale (fast, clean, zero chaos).
- Activate and manage distributed talent pools powering AI training + data ops.
- Build and maintain high-trust enterprise client relationships.
- Anticipate blockers before they surface — solve with speed and clarity.
- Drive customer success outcomes across ongoing AI deployments.
- Publish weekly performance + milestone reports (no noise, high signal).
- Host community syncs / engagement rituals to keep operators sharp.
- Partner with product + engineering to align talent ops with shifting model and client needs.
- Continuously refine onboarding, QA, and retention systems using data.
What We're Looking For
- Elite written communicator. Clear. Structured. Direct.
- Proven operator in remote, distributed environments.
- Deep ownership mindset — you don’t “manage,” you own.
- Comfortable leading 100+ contributors without losing signal.
- Thrives in ambiguity, velocity, and constant iteration.
- Data-fluent — dashboards, KPIs, performance diagnostics.
Preferred
- Experience in Human Data, RLHF, AI training pipelines.
- Background working with enterprise AI or technical clients.
- Built or scaled data ops / talent ops systems before.
- Familiar with modern tooling (ATS, analytics, project ops, automation).
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.