Talent Engineer

SuperAnnotate AI•San Francisco, CA

18d•Hybrid

About The Position

SuperAnnotate is hiring its first Talent Engineer to design and own the recruiting engine for SME Careers, which builds a global workforce of experts across languages and professional fields. The role treats recruiting as a systems and data problem: selecting and configuring AI sourcing and outreach tools, building workflows that connect them to the company platform, and making the systems reliable and scalable as projects evolve. The Talent Engineer works directly with the Director of Product and Operations and the SME Careers talent team, and partners with engineering on integrations. The role combines recruiting judgment with hands-on technical work, including automation, reporting, AI-assisted screening, and workflow development. It is a full-time, hybrid position based in San Francisco.

Requirements

At least 3 years of experience in recruiting, sourcing, or recruiting operations, with a working understanding of sourcing, screening, and outreach.
Experience recruiting at high volume, particularly for contractor, freelance, or gig workforces.
Hands-on experience operating AI sourcing or outreach tools beyond basic searches.
Programming or scripting experience, ideally Python or JavaScript, plus SQL.
Comfort working with REST APIs, JSON, and webhooks.
A track record of building maintainable automations or workflows that others rely on and that operate without daily hand-holding, with attention to data integrity.
Hands-on experience building software with AI coding tools such as Claude Code, Cursor, or Codex; must have shipped working tools or automations, not just experimented.
Ability to build a funnel report from raw exports or an API and explain its meaning.
Understanding of recruiters’ day-to-day work and ability to build tools that a team will adopt.
Good judgment about candidate experience and awareness of when outreach reads as automated.
Comfort with ambiguity and building a function from scratch.

Nice To Haves

Experience building recruiting or HR technology, or working at a company that builds it.
Background in AI training data, data annotation, or expert networks.
Experience with workflow automation tools such as n8n, Make, or Zapier.
Global recruiting experience across multiple regions and languages.
A computer science, data, or engineering background that led into recruiting or people operations.

Responsibilities

Configure and own the performance of AI sourcing and outreach platforms and agents.
Connect the job platform to sourcing tools so new roles are sourced automatically.
Build and maintain prompts, evaluation logic, and quality checks for AI-assisted screening.
Design reusable email and LinkedIn outreach sequences, test messaging and steps, and retain effective approaches.
Build reporting for source quality, conversion, time to staff, and cost per active expert, and use the results to inform decisions.
Create workflows that search the existing applicant pool before sourcing new candidates.
Scope and build integrations using APIs and webhooks, working with engineers on changes to the platform.
Calibrate search criteria with the talent team, protect candidate experience, and keep outreach compliant with privacy rules such as GDPR.
Document the architecture and workflows, and train the talent team to operate and adjust them independently.